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Statistical Theory and Methods
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Statistical Theory and Methods
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- A Beginner's Guide to Discrete Mathematics
- A Comparison of the Bayesian and Frequentist Approaches to Estimation
- A Comprehensive Guide to Factorial Two-Level Experimentation
- A Course in Mathematical Statistics and Large Sample Theory
- A First Course in Bayesian Statistical Methods
- A First Course in Statistics for Signal Analysis
- A General Theory of Entropy : Fuzzy Rational Foundations of Information-Knowledge Certainty
- A Graduate Course on Statistical Inference
- A Modern Approach to Regression with R
- A Modern Theory of Factorial Design
- A Multiple-Testing Approach to the Multivariate Behrens-Fisher Problem : with Simulations and Examples in SAS®
- A Multivariate Claim Count Model for Applications in Insurance
- A Parametric Approach to Nonparametric Statistics
- A Primer of Permutation Statistical Methods
- A Probability Path
- A Probability Path
- A SAS/IML Companion for Linear Models
- Adaptive Regression for Modeling Nonlinear Relationships
- Advanced Data Analysis in Neuroscience : Integrating Statistical and Computational Models
- Advanced Multivariate Statistics with Matrices
- Advanced Statistical Methods for the Analysis of Large Data-Sets
- Advanced Statistical Methods in Data Science
- Advanced Statistics for the Behavioral Sciences : A Computational Approach with R
- Advances and Challenges in Parametric and Semi-parametric Analysis for Correlated Data : Proceedings of the 2015 International Symposium in Statistics
- Advances and Challenges in Space-time Modelling of Natural Events
- Advances in Algebra and Analysis : International Conference on Advances in Mathematical Sciences, Vellore, India, December 2017 - Volume I
- Advances in Complex Data Modeling and Computational Methods in Statistics
- Advances in Data Analysis : Proceedings of the 30th Annual Conference of the Gesellschaft für Klassifikation e.V., Freie Universität Berlin, March 8-10, 2006
- Advances in Data Analysis : Theory and Applications to Reliability and Inference, Data Mining, Bioinformatics, Lifetime Data, and Neural Networks
- Advances in Degradation Modeling : Applications to Reliability, Survival Analysis, and Finance
- Advances in Directional and Linear Statistics : A Festschrift for Sreenivasa Rao Jammalamadaka
- Advances in Distribution Theory, Order Statistics, and Inference
- Advances in Growth Curve Models : Topics from the Indian Statistical Institute
- Advances in Latent Variables : Methods, Models and Applications
- Advances in Mathematical and Statistical Modeling
- Advances in Mathematics and Applications : Celebrating 50 years of the Institute of Mathematics, Statistics and Scientific Computing, University of Campinas
- Advances in Ranking and Selection, Multiple Comparisons, and Reliability : Methodology and Applications
- Advances in Regression, Survival Analysis, Extreme Values, Markov Processes and Other Statistical Applications
- Advances in Statistical Methods for the Health Sciences : Applications to Cancer and AIDS Studies, Genome Sequence Analysis, and Survival Analysis
- Advances in Statistical Models for Data Analysis
- Advances in Theoretical and Applied Statistics
- Advancing Human Assessment : The Methodological, Psychological and Policy Contributions of ETS
- Algorithms and Programs of Dynamic Mixture Estimation : Unified Approach to Different Types of Components
- All of Nonparametric Statistics
- An Intermediate Course in Probability
- An Introduction to Algebraic Statistics with Tensors
- An Introduction to Applied Multivariate Analysis with R
- An Introduction to Bartlett Correction and Bias Reduction
- An Introduction to Bayesian Analysis : Theory and Methods
- An Introduction to Copulas
- An Introduction to Kolmogorov Complexity and Its Applications
- An Introduction to Kolmogorov Complexity and Its Applications
- An Introduction to Order Statistics
- An Introduction to Queueing Theory : Modeling and Analysis in Applications
- An Introduction to Queueing Theory : Modeling and Analysis in Applications
- An Introduction to Statistical Learning : with Applications in R
- Analysing Inequalities in Germany : A Structured Additive Distributional Regression Approach
- Analysis and Modeling of Complex Data in Behavioral and Social Sciences
- Analysis of Doubly Truncated Data : An Introduction
- Analysis of Integrated and Cointegrated Time Series with R
- Analysis of Neural Data
- Analysis of Quantised Vortex Tangle
- Analysis of Repeated Measures Data
- Analysis of Survival Data with Dependent Censoring : Copula-Based Approaches
- Analysis of Variance for Random Models, Volume 2: Unbalanced Data : Theory, Methods, Applications, and Data Analysis
- Analytical Methods in Statistics : AMISTAT, Prague, November 2015
- Analyzing Compositional Data with R
- Analyzing Dependent Data with Vine Copulas : A Practical Guide With R
- Applications of Linear and Nonlinear Models : Fixed Effects, Random Effects, and Total Least Squares
- Applications of Measure Theory to Statistics
- Applied Bayesian Statistics : With R and OpenBUGS Examples
- Applied Compositional Data Analysis : With Worked Examples in R
- Applied Multivariate Statistical Analysis
- Applied Multivariate Statistical Analysis
- Applied Multivariate Statistical Analysis
- Applied Probability
- Applied Statistical Inference : Likelihood and Bayes
- Applied Statistical Methods in Agriculture, Health and Life Sciences
- Applied Statistics for Social and Management Sciences
- Applied Statistics in Biomedicine and Clinical Trials Design : Selected Papers from 2013 ICSA/ISBS Joint Statistical Meetings
- Applied Survival Analysis Using R
- Argomenti di probabilità e statistica
- Assessing Model-Based Reasoning using Evidence- Centered Design : A Suite of Research-Based Design Patterns
- Astronomical Image and Data Analysis
- Astrostatistical Challenges for the New Astronomy
- Astrostatistics and Data Mining
- Asymmetric Kernel Smoothing : Theory and Applications in Economics and Finance
- Asymptotic Theory of Statistics and Probability
- Asymptotics for Associated Random Variables
- Basic Elements of Computational Statistics
- Basics of Modern Mathematical Statistics
- Basics of Modern Mathematical Statistics : Exercises and Solutions
- Bayesian Computation with R
- Bayesian Core: A Practical Approach to Computational Bayesian Statistics
- Bayesian Essentials with R
- Bayesian Inference : Parameter Estimation and Decisions
- Bayesian Inference and Maximum Entropy Methods in Science and Engineering : MaxEnt 37, Jarinu, Brazil, July 09–14, 2017
- Bayesian Networks in R : with Applications in Systems Biology
- Bayesian Nonparametric Data Analysis
- Bayesian Optimization for Materials Science
- Bayesian Reliability
- Bayesian Statistics from Methods to Models and Applications : Research from BAYSM 2014
- Bayesian Statistics in Action : BAYSM 2016, Florence, Italy, June 19-21
- Bayesian Theory and Methods with Applications
- Bayesian and Frequentist Regression Methods
- Bayesians Versus Frequentists : A Philosophical Debate on Statistical Reasoning
- Belief, Evidence, and Uncertainty : Problems of Epistemic Inference
- Benchmarking, Temporal Distribution, and Reconciliation Methods for Time Series
- Big and Complex Data Analysis : Methodologies and Applications
- Bilinear Regression Analysis : An Introduction
- Boosted Statistical Relational Learners : From Benchmarks to Data-Driven Medicine
- Branching Processes and Their Applications
- Brief Guidelines for Methods and Statistics in Medical Research
- Campionamento da popolazioni finite : Il disegno campionario
- Capture-Recapture: Parameter Estimation for Open Animal Populations
- Case Studies in Spatial Point Process Modeling
- Causal Nets, Interventionism, and Mechanisms : Philosophical Foundations and Applications
- Characterizations of Univariate Continuous Distributions
- Characterizing Interdependencies of Multiple Time Series : Theory and Applications
- Classification - the Ubiquitous Challenge : Proceedings of the 28th Annual Conference of the Gesellschaft für Klassifikation e.V., University of Dortmund, March 9-11, 2004
- Classification and Data Mining
- Classification and Multivariate Analysis for Complex Data Structures
- Classification as a Tool for Research : Proceedings of the 11th IFCS Biennial Conference and 33rd Annual Conference of the Gesellschaft für Klassifikation e.V., Dresden, March 13-18, 2009
- Classification, (Big) Data Analysis and Statistical Learning
- Climate Time Series Analysis : Classical Statistical and Bootstrap Methods
- Climate Time Series Analysis : Classical Statistical and Bootstrap Methods
- Cluster Analysis for Data Mining and System Identification
- Collaborative Promotions : Optimizing Retail Supply Chains with Upstream Information Sharing
- Combinatorial Matrix Theory and Generalized Inverses of Matrices
- Competing Risks and Multistate Models with R
- Complex Data Modeling and Computationally Intensive Statistical Methods
- Complex Models and Computational Methods in Statistics
- Complex Surveys : Analysis of Categorical Data
- Compositional Data Analysis : CoDaWork, L’Escala, Spain, June 2015
- Computation of Multivariate Normal and t Probabilities
- Computerized Adaptive and Multistage Testing with R : Using Packages catR and mstR
- Concentration Inequalities and Model Selection : Ecole d'Eté de Probabilités de Saint-Flour XXXIII - 2003
- Contemporary Biostatistics with Biopharmaceutical Applications
- Contemporary Developments in Statistical Theory : A Festschrift for Hira Lal Koul
- Contingency Table Analysis : Methods and Implementation Using R
- Continuous Bivariate Distributions
- Contributions to Sampling Statistics
- Convolution Copula Econometrics
- Copula Theory and Its Applications : Proceedings of the Workshop Held in Warsaw, 25-26 September 2009
- Copulas and Dependence Models with Applications : Contributions in Honor of Roger B. Nelsen
- Correlated Data Analysis: Modeling, Analytics, and Applications
- Criminal Justice Forecasts of Risk : A Machine Learning Approach
- Data Analysis and Decision Support
- Data Analysis, Classification and the Forward Search : Proceedings of the Meeting of the Classification and Data Analysis Group (CLADAG) of the Italian Statistical Society, University of Parma, June 6-8, 2005
- Data Mining with SPSS Modeler : Theory, Exercises and Solutions
- Data Quality and Record Linkage Techniques
- Data Science : Innovative Developments in Data Analysis and Clustering
- Data Science and Classification
- Data Wrangling with R
- Decision Processes by Using Bivariate Normal Quantile Pairs
- Decision Support Using Nonparametric Statistics
- Decision Systems and Nonstochastic Randomness
- Decision Theory and Multi-Agent Planning
- Deconvolution Problems in Nonparametric Statistics
- Dependence in Probability and Statistics
- Dependence in Probability and Statistics
- Dependent Data in Social Sciences Research : Forms, Issues, and Methods of Analysis
- Design and Analysis of Experiments
- Design and Analysis of Simulation Experiments
- Design of Observational Studies
- Design, Analysis, and Interpretation of Genome-Wide Association Scans
- Developments in Statistical Evaluation of Clinical Trials
- Differential Undercounts in the U.S. Census : Who is Missed?
- Dihedral Fourier Analysis : Data-analytic Aspects and Applications
- Discrete Multivariate Analysis : Theory and Practice
- Dose-Finding Designs for Early-Phase Cancer Clinical Trials : A Brief Guidebook to Theory and Practice
- Doubly Classified Model with R
- Dynamic Data Analysis : Modeling Data with Differential Equations
- Dynamic Linear Models with R
- Dynamic Mixed Models for Familial Longitudinal Data
- Dynamic Model Analysis : Advanced Matrix Methods and Unit-Root Econometrics Representation Theorems
- Educational Measurement for Applied Researchers : Theory into Practice
- Elementi di Probabilità e Statistica
- Elements of Nonlinear Time Series Analysis and Forecasting
- Elements of Probability and Statistics : An Introduction to Probability with de Finetti’s Approach and to Bayesian Statistics
- Elliptically Contoured Models in Statistics and Portfolio Theory
- Empirical Agent-Based Modelling - Challenges and Solutions : Volume 1, The Characterisation and Parameterisation of Empirical Agent-Based Models
- Empirical Inference : Festschrift in Honor of Vladimir N. Vapnik
- Empirical Likelihood and Quantile Methods for Time Series : Efficiency, Robustness, Optimality, and Prediction
- Empirical Modeling and Data Analysis for Engineers and Applied Scientists
- Encyclopedia of Big Data
- Epistemic Processes : A Basis for Statistics and Quantum Theory
- Errors-in-Variables Methods in System Identification
- Essential Statistical Inference : Theory and Methods
- Essentials of Monte Carlo Simulation : Statistical Methods for Building Simulation Models
- Essentials of Stochastic Processes
- Essentials of Stochastic Processes
- Estimation and Inferential Statistics
- Estimation and Testing Under Sparsity : École d'Été de Probabilités de Saint-Flour XLV – 2015
- Euclidean Design Theory
- Euclidean Distance Matrices and Their Applications in Rigidity Theory
- Examples in Parametric Inference with R
- Excel 2016 for Marketing Statistics : A Guide to Solving Practical Problems
- Experimental Design : With Application in Management, Engineering, and the Sciences.
- Experimental Designs: Exercises and Solutions
- Exploring Research Frontiers in Contemporary Statistics and Econometrics : A Festschrift for Léopold Simar
- Exponentiated Distributions
- Extreme Value Theory : An Introduction
- Fading Foundations : Probability and the Regress Problem
- Finite Mixture and Markov Switching Models
- Finite Mixture of Skewed Distributions
- Fisher, Neyman, and the Creation of Classical Statistics
- Forecasting International Migration in Europe: A Bayesian View
- Forecasting and Assessing Risk of Individual Electricity Peaks
- Forecasting with Exponential Smoothing : The State Space Approach
- Forging Connections between Computational Mathematics and Computational Geometry : Papers from the 3rd International Conference on Computational Mathematics and Computational Geometry
- Formulas Useful for Linear Regression Analysis and Related Matrix Theory : It's Only Formulas But We Like Them
- Foundations of Applied Statistical Methods
- Fractional Fields and Applications
- From Experimental Network to Meta-analysis : Methods and Applications with R for Agronomic and Environmental Sciences
- From Statistics to Mathematical Finance : Festschrift in Honour of Winfried Stute
- Frontiers in Statistical Quality Control 10
- Frontiers in Statistical Quality Control 8
- Frontiers in Statistical Quality Control 9
- Frontiers of Biostatistical Methods and Applications in Clinical Oncology
- Frontiers of Statistical Decision Making and Bayesian Analysis : In Honor of James O. Berger
- Functional Approach to Optimal Experimental Design
- Functional Data Analysis
- Functional Statistics and Applications : Selected Papers from MICPS-2013
- Functional Statistics and Related Fields
- Functional and Operatorial Statistics
- Functional and Shape Data Analysis
- Fuzzy Statistical Decision-Making : Theory and Applications
- Generalized Estimating Equations
- Generalized Hyperbolic Secant Distributions : With Applications to Finance
- Generalized Linear Models With Examples in R
- Geometric Modeling in Probability and Statistics
- Geostatistical and Geospatial Approaches for the Characterization of Natural Resources in the Environment : Challenges, Processes and Strategies
- Graphical Models with R
- Graphics of Large Datasets : Visualizing a Million
- Group-Sequential Clinical Trials with Multiple Co-Objectives
- Grouping Multidimensional Data : Recent Advances in Clustering
- Growth Curve Models and Applications : Indian Statistical Institute, Giridih, India, March 28-29, 2016
- Growth Curve and Structural Equation Modeling : Topics from the Indian Statistical Institute
- Gröbner Bases : Statistics and Software Systems
- Handbook of Big Data Analytics
- Handbook of Computational Statistics : Concepts and Methods
- Handbook of Data Visualization
- Handbook of Multilevel Analysis
- Handbook of Partial Least Squares : Concepts, Methods and Applications
- Handbook of Scan Statistics
- Handbook on Loss Reserving
- Handling Missing Data in Ranked Set Sampling
- Harmonic Analysis on Symmetric Spaces—Higher Rank Spaces, Positive Definite Matrix Space and Generalizations
- Health Care Systems Engineering for Scientists and Practitioners : HCSE, Lyon, France, May 2015
- Heavy-Tail Phenomena : Probabilistic and Statistical Modeling
- Heavy-Tailed Distributions and Robustness in Economics and Finance
- High-dimensional Microarray Data Analysis : Cancer Gene Diagnosis and Malignancy Indexes by Microarray
- Horizons of Combinatorics
- ISS-2012 Proceedings Volume On Longitudinal Data Analysis Subject to Measurement Errors, Missing Values, and/or Outliers
- IUTAM Symposium on the Vibration Analysis of Structures with Uncertainties : Proceedings of the IUTAM Symposium on the Vibration Analysis of Structures with Uncertainties held in St. Petersburg, Russia, July 5–9, 2009
- Image Processing Using Pulse-Coupled Neural Networks
- Independent Random Sampling Methods
- Indexation and Causation of Financial Markets
- Indirect Questioning in Sample Surveys
- Indirect Sampling
- Inequalities: Theory of Majorization and Its Applications
- Inference for Change Point and Post Change Means After a CUSUM Test
- Inference for Diffusion Processes : With Applications in Life Sciences
- Inference for Functional Data with Applications
- Inference in Hidden Markov Models
- Inference on the Hurst Parameter and the Variance of Diffusions Driven by Fractional Brownian Motion
- Information Geometry
- Information Geometry and Its Applications
- Information Geometry and Its Applications : On the Occasion of Shun-ichi Amari's 80th Birthday, IGAIA IV Liblice, Czech Republic, June 2016
- Information Geometry and Population Genetics : The Mathematical Structure of the Wright-Fisher Model
- Initiation aux Probabilités : et aux chaînes de Markov
- Innovations in Classification, Data Science, and Information Systems : Proceedings of the 27th Annual Conference of the Gesellschaft für Klassifikation e.V., Brandenburg University of Technology, Cottbus, March 12-14, 2003
- Innovative Trend Methodologies in Science and Engineering
- Interactive LISREL in Practice : Getting Started with a SIMPLIS Approach
- Interactive and Dynamic Graphics for Data Analysis : With R and GGobi
- Interdisciplinary Bayesian Statistics : EBEB 2014
- International Encyclopedia of Statistical Science
- Introduction to Empirical Processes and Semiparametric Inference
- Introduction to Nonparametric Estimation
- Introduction to Nonparametric Statistics for the Biological Sciences Using R
- Introduction to Probability Simulation and Gibbs Sampling with R
- Introduction to Statistical Methods, Design of Experiments and Statistical Quality Control
- Introduction to Statistics and Data Analysis : With Exercises, Solutions and Applications in R
- Introduction to Stochastic Calculus
- Introduction to Time Series and Forecasting
- Introduction to Variance Estimation
- Introductory Statistical Inference with the Likelihood Function
- Introductory Time Series with R
- Introduzione ai metodi statistici per il credit scoring
- Intuitive Introductory Statistics
- L1-Norm and L∞-Norm Estimation : An Introduction to the Least Absolute Residuals, the Minimax Absolute Residual and Related Fitting Procedures
- Lagrangian Probability Distributions
- Large Sample Techniques for Statistics
- Laws of Small Numbers: Extremes and Rare Events
- Learning Regression Analysis by Simulation
- Lectures on Algebraic Statistics
- Life Distributions : Structure of Nonparametric, Semiparametric, and Parametric Families
- Limit Theorems for Multi-Indexed Sums of Random Variables
- Linear Algebra and Linear Models
- Linear Mixed-Effects Models Using R : A Step-by-Step Approach
- Linear Models and Generalizations : Least Squares and Alternatives
- Linear Models in Matrix Form : A Hands-On Approach for the Behavioral Sciences
- Linear Regression
- Linear and Generalized Linear Mixed Models and Their Applications
- Linear-Quadratic Controls in Risk-Averse Decision Making : Performance-Measure Statistics and Control Decision Optimization
- Long-Memory Processes : Probabilistic Properties and Statistical Methods
- Long-Term Ecological Research : Between Theory and Application
- Longitudinal Categorical Data Analysis
- Longitudinal Data Analysis : Autoregressive Linear Mixed Effects Models
- Longitudinal Research with Latent Variables
- Majorization and the Lorenz Order with Applications in Applied Mathematics and Economics
- Managing Safety of Heterogeneous Systems : Decisions under Uncertainties and Risks
- Marginal Models : For Dependent, Clustered, and Longitudinal Categorical Data
- Markov Bases in Algebraic Statistics
- Marshall Olkin Distributions - Advances in Theory and Applications : Bologna, Italy, October 2013
- Mathematical Foundations of Time Series Analysis : A Concise Introduction
- Mathematical Problems in Meteorological Modelling
- Mathematical Statistics : Essays on History and Methodology
- Mathematical Statistics and Limit Theorems : Festschrift in Honour of Paul Deheuvels
- Mathematical Statistics: Exercises and Solutions
- Mathematical and Statistical Methods for Actuarial Sciences and Finance
- Mathematical and Statistical Methods for Actuarial Sciences and Finance
- Mathematical and Statistical Models and Methods in Reliability : Applications to Medicine, Finance, and Quality Control
- Mathematics and Politics : Strategy, Voting, Power, and Proof
- Mathematics of Planet Earth : Proceedings of the 15th Annual Conference of the International Association for Mathematical Geosciences
- Matrices, Statistics and Big Data : Selected Contributions from IWMS 2016
- Matrix Algebra : Theory, Computations and Applications in Statistics
- Matrix Algebra : Theory, Computations, and Applications in Statistics
- Matrix Tricks for Linear Statistical Models : Our Personal Top Twenty
- Matrix-Based Introduction to Multivariate Data Analysis
- Maximum Penalized Likelihood Estimation : Volume II: Regression
- Measure Theory and Probability Theory
- Measures of Complexity : Festschrift for Alexey Chervonenkis
- Meta-Analytic Structural Equation Modelling
- Metodi di previsione statistica
- Metodi di stima in presenza di errori non campionari
- Missing Data and Small-Area Estimation : Modern Analytical Equipment for the Survey Statistician
- Model Averaging
- Model Choice in Nonnested Families
- Model Selection and Error Estimation in a Nutshell
- Model-Free Prediction and Regression : A Transformation-Based Approach to Inference
- Model-based Geostatistics
- Modeling Binary Correlated Responses using SAS, SPSS and R
- Modeling Discrete Time-to-Event Data
- Modeling Infectious Disease Parameters Based on Serological and Social Contact Data : A Modern Statistical Perspective
- Modeling Longitudinal Data
- Modeling Psychophysical Data in R
- Modelling Operational Risk Using Bayesian Inference
- Models for Discrete Longitudinal Data
- Modern Dose-Finding Designs for Cancer Phase I Trials: Drug Combinations and Molecularly Targeted Agents
- Modern Mathematical Statistics with Applications
- Modern Methodology and Applications in Spatial-Temporal Modeling
- Modern Multivariate Statistical Techniques : Regression, Classification, and Manifold Learning
- Modern Nonparametric, Robust and Multivariate Methods : Festschrift in Honour of Hannu Oja
- Modern Problems of Stochastic Analysis and Statistics : Selected Contributions In Honor of Valentin Konakov
- Modern Statistical Methods for Spatial and Multivariate Data
- Modèles aléatoires : Applications aux sciences de l'ingénieur et du vivant
- Modélisation et statistique spatiales
- Monte Carlo and Quasi-Monte Carlo Methods 2012
- Monte Carlo and Quasi-Monte Carlo Sampling
- Multicriteria and Clustering : Classification Techniques in Agrifood and Environment
- Multiple Decrement Models in Insurance : An Introduction Using R
- Multiple Testing Procedures with Applications to Genomics
- Multiscale Modeling : A Bayesian Perspective
- Multivariate Analysis with LISREL
- Multivariate Methods and Forecasting with IBM® SPSS® Statistics
- Multivariate Nonparametric Methods with R : An approach based on spatial signs and ranks
- Multivariate Statistics : Exercises and Solutions
- Multivariate Statistics : Exercises and Solutions
- Multivariate Time Series With Linear State Space Structure
- Netherlands Annual Review of Military Studies 2017 : Winning Without Killing:The Strategic and Operational Utility of Non-Kinetic Capabilities in Crises
- Neural Networks and Sea Time Series : Reconstruction and Extreme-Event Analysis
- New Advances in Statistical Modeling and Applications
- New Advances in Statistics and Data Science
- New Developments in Statistical Modeling, Inference and Application : Selected Papers from the 2014 ICSA/KISS Joint Applied Statistics Symposium in Portland, OR
- New Frontiers of Biostatistics and Bioinformatics
- New Perspectives in Partial Least Squares and Related Methods
- New Perspectives in Statistical Modeling and Data Analysis : Proceedings of the 7th Conference of the Classification and Data Analysis Group of the Italian Statistical Society, Catania, September 9 - 11, 2009
- New Theory of Discriminant Analysis After R. Fisher : Advanced Research by the Feature Selection Method for Microarray Data
- Non-Linear Time Series : Extreme Events and Integer Value Problems
- Nonlinear Principal Component Analysis and Its Applications
- Nonlinear Regression with R
- Nonlinear System Identification by Haar Wavelets
- Nonparametric Bayesian Inference in Biostatistics
- Nonparametric Functional Data Analysis : Theory and Practice
- Nonparametric Monte Carlo Tests and Their Applications
- Nonparametric Statistics : 2nd ISNPS, Cádiz, June 2014
- Nonparametric Statistics : 3rd ISNPS, Avignon, France, June 2016
- Nonparametric Statistics for Applied Research
- OpenStat Reference Manual
- Optimal Mixture Experiments
- Optimization
- Ordered Data Analysis, Modeling and Health Research Methods : In Honor of H. N. Nagaraja's 60th Birthday
- Paradoxes in Probability Theory
- Parameter Estimation in Fractional Diffusion Models
- Parameter Estimation in Stochastic Differential Equations
- Parametric Statistical Change Point Analysis : With Applications to Genetics, Medicine, and Finance
- Parametric and Nonparametric Inference for Statistical Dynamic Shape Analysis with Applications
- Parametric and Nonparametric Statistics for Sample Surveys and Customer Satisfaction Data
- Partial Least Squares Path Modeling : Basic Concepts, Methodological Issues and Applications
- Partitions, Hypergeometric Systems, and Dirichlet Processes in Statistics
- Penalty, Shrinkage and Pretest Strategies : Variable Selection and Estimation
- Permutation Methods : A Distance Function Approach
- Permutation Statistical Methods : An Integrated Approach
- Permutation Tests for Stochastic Ordering and ANOVA : Theory and Applications with R
- Permutation Tests in Shape Analysis
- Permutation, Parametric, and Bootstrap Tests of Hypotheses
- Person-Centered Methods : Configural Frequency Analysis (CFA) and Other Methods for the Analysis of Contingency Tables
- Pharmaceutical Statistics : MBSW 39, Muncie, Indiana, USA, May 16-18, 2016
- Plane Answers to Complex Questions : The Theory of Linear Models
- Practical Considerations for Adaptive Trial Design and Implementation
- Practical Tools for Designing and Weighting Survey Samples
- Price Indexes in Time and Space : Methods and Practice
- Principal Component Analysis Networks and Algorithms
- Principal Component Regression for Crop Yield Estimation
- Principles and Theory for Data Mining and Machine Learning
- Prior Processes and Their Applications : Nonparametric Bayesian Estimation
- Probabilistic Logics and Probabilistic Networks
- Probabilistic Symmetries and Invariance Principles
- Probability Approximations and Beyond
- Probability Distributions : With Truncated, Log and Bivariate Extensions
- Probability Inequalities
- Probability Theory : A Comprehensive Course
- Probability and Social Science : Methodological Relationships between the two Approaches
- Probability for Statisticians
- Probability for Statistics and Machine Learning : Fundamentals and Advanced Topics
- Probability with Applications in Engineering, Science, and Technology
- Probability with Statistical Applications
- Probability: A Graduate Course
- Probability: A Graduate Course
- Process Optimization : A Statistical Approach
- Product of Random Stochastic Matrices and Distributed Averaging
- Pseudo-Populations : A Basic Concept in Statistical Surveys
- Quantifying the Evolution of Early Life : Numerical Approaches to the Evaluation of Fossils and Ancient Ecosystems
- Quantile-Based Reliability Analysis
- Quantitative Analysis and IBM® SPSS® Statistics : A Guide for Business and Finance
- Quantitative Health Risk Analysis Methods : Modeling the Human Health Impacts of Antibiotics Used in Food Animals
- Quantitative Methods in Environmental and Climate Research
- Quantitative Psychology : 83rd Annual Meeting of the Psychometric Society, New York, NY 2018
- Quantitative Psychology : The 81st Annual Meeting of the Psychometric Society, Asheville, North Carolina, 2016
- Quantitative Psychology : The 82nd Annual Meeting of the Psychometric Society, Zurich, Switzerland, 2017
- Quantitative Psychology Research : The 80th Annual Meeting of the Psychometric Society, Beijing, 2015
- R by Example
- Random Effect and Latent Variable Model Selection
- Rank and Pseudo-Rank Procedures for Independent Observations in Factorial Designs : Using R and SAS
- Rankings and Preferences : New Results in Weighted Correlation and Weighted Principal Component Analysis with Applications
- Recent Advances in Linear Models and Related Areas : Essays in Honour of Helge Toutenburg
- Recent Developments in Applied Probability and Statistics : Dedicated to the Memory of Jürgen Lehn
- Recent Developments in Modeling and Applications in Statistics
- Recent Studies on Risk Analysis and Statistical Modeling
- Records via Probability Theory
- Regression : Linear Models in Statistics
- Regression : Models, Methods and Applications
- Regression Analysis Under A Priori Parameter Restrictions
- Regression Modeling Strategies : With Applications to Linear Models, Logistic and Ordinal Regression, and Survival Analysis
- Regression with Linear Predictors
- Reliability Physics and Engineering : Time-To-Failure Modeling
- Renewal Processes
- Resampling Methods : A Practical Guide to Data Analysis
- Restricted Kalman Filtering : Theory, Methods, and Application
- Restricted Parameter Space Estimation Problems : Admissibility and Minimaxity Properties
- Risk Management in Architectural Design : Control of Uncertainty over Building Use and Maintenance
- Risk and Asset Allocation
- Robust Multivariate Analysis
- Robust Rank-Based and Nonparametric Methods : Michigan, USA, April 2015: Selected, Revised, and Extended Contributions
- Robust and Distributed Hypothesis Testing
- Robustness and Complex Data Structures : Festschrift in Honour of Ursula Gather
- Robustness in Statistical Forecasting
- S+Functional Data Analysis : User's Manual for Windows ®
- SPSS for Starters
- SPSS for Starters and 2nd Levelers
- Sample Size Determination in Clinical Trials with Multiple Endpoints
- Sampling Algorithms
- Sampling Designs Dependent on Sample Parameters of Auxiliary Variables
- Sampling Methods : Exercises and Solutions
- Sampling Spatial Units for Agricultural Surveys
- Scan Statistics : Methods and Applications
- Science Dynamics and Research Production : Indicators, Indexes, Statistical Laws and Mathematical Models
- Screening : Methods for Experimentation in Industry, Drug Discovery, and Genetics
- Seamless R and C++ Integration with Rcpp
- Seasonal Adjustment Methods and Real Time Trend-Cycle Estimation
- Selected Contributions in Data Analysis and Classification
- Selected Papers of Frederick Mosteller
- Selected Works of C.C. Heyde
- Selected Works of David Brillinger
- Selected Works of Debabrata Basu
- Selected Works of Donald L. Burkholder
- Selected Works of E. L. Lehmann
- Selected Works of Murray Rosenblatt
- Selected Works of Oded Schramm
- Selected Works of Peter J. Bickel
- Selected Works of R.M. Dudley
- Selected Works of Terry Speed
- Selected Works of Willem van Zwet
- Self-Normalized Processes : Limit Theory and Statistical Applications
- Semi-Markov Chains and Hidden Semi-Markov Models toward Applications : Their Use in Reliability and DNA Analysis
- Semiparametric Regression with R
- Semiparametric Theory and Missing Data
- Separating Information Maximum Likelihood Method for High-Frequency Financial Data
- Sequential Experimentation in Clinical Trials : Design and Analysis
- Series Approximation Methods in Statistics
- Shrinkage Estimation
- Simultaneous Statistical Inference : With Applications in the Life Sciences
- Singular Spectrum Analysis for Time Series
- Singular Spectrum Analysis with R
- Six Sigma for Organizational Excellence : A Statistical Approach
- Smoothing Spline ANOVA Models
- Space, Structure and Randomness : Contributions in Honor of Georges Matheron in the Fields of Geostatistics, Random Sets and Mathematical Morphology
- Spatial Data Analysis : Models, Methods and Techniques
- Spatial Statistics and Modeling
- Spectral Analysis of Large Dimensional Random Matrices
- Stable Convergence and Stable Limit Theorems
- State-Space Models : Applications in Economics and Finance
- Statistical Analysis and Data Display : An Intermediate Course with Examples in R
- Statistical Analysis for High-Dimensional Data : The Abel Symposium 2014
- Statistical Analysis of Climate Series : Analyzing, Plotting, Modeling, and Predicting with R
- Statistical Analysis of Designed Experiments, Third Edition
- Statistical Analysis of Environmental Space-Time Processes
- Statistical Analysis of Extreme Values : with Applications to Insurance, Finance, Hydrology and Other Fields
- Statistical Analysis of Financial Data in R
- Statistical Analysis of Management Data
- Statistical Analysis of Network Data : Methods and Models
- Statistical Analysis of Network Data with R
- Statistical Analysis of Panel Count Data
- Statistical Analysis with Measurement Error or Misclassification : Strategy, Method and Application
- Statistical Applications from Clinical Trials and Personalized Medicine to Finance and Business Analytics : Selected Papers from the 2015 ICSA/Graybill Applied Statistics Symposium, Colorado State University, Fort Collins
- Statistical Approaches to Orofacial Pain and Temporomandibular Disorders Research
- Statistical Data Analysis Using SAS : Intermediate Statistical Methods
- Statistical Decision Theory : Estimation, Testing, and Selection
- Statistical Demography and Forecasting
- Statistical Design
- Statistical Disclosure Control for Microdata : Methods and Applications in R
- Statistical Distributions : Applications and Parameter Estimates
- Statistical Estimation for Truncated Exponential Families
- Statistical Inference for Discrete Time Stochastic Processes
- Statistical Learning from a Regression Perspective
- Statistical Learning from a Regression Perspective
- Statistical Learning of Complex Data
- Statistical Methods for Astronomical Data Analysis
- Statistical Methods for Biostatistics and Related Fields
- Statistical Methods for Imbalanced Data in Ecological and Biological Studies
- Statistical Methods for Ranking Data
- Statistical Methods in Counterterrorism : Game Theory, Modeling, Syndromic Surveillance, and Biometric Authentication
- Statistical Modeling and Analysis for Complex Data Problems
- Statistical Modeling and Computation
- Statistical Modeling for Degradation Data
- Statistical Modelling and Regression Structures : Festschrift in Honour of Ludwig Fahrmeir
- Statistical Modelling in Biostatistics and Bioinformatics : Selected Papers
- Statistical Modelling of Survival Data with Random Effects : H-Likelihood Approach
- Statistical Models and Methods for Biomedical and Technical Systems
- Statistical Models for Data Analysis
- Statistical Models for Proportions and Probabilities
- Statistical Research Methods : A Guide for Non-Statisticians
- Statistical Theory and Inference
- Statistical Tools for Measuring Agreement
- Statistical and Inductive Inference by Minimum Message Length
- Statistics and Analysis of Scientific Data
- Statistics and Data Analysis for Financial Engineering : with R examples
- Statistics and Measurement Concepts with OpenStat
- Statistics and Simulation : IWS 8, Vienna, Austria, September 2015
- Statistics for High-Dimensional Data : Methods, Theory and Applications
- Statistics for Innovation : Statistical Design of "Continuous" Product Innovation