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Texts in statistical science
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The series ** Texts in statistical science** represents a set of related resources, especially of a specified kind, found in **University of Manitoba Libraries**.

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Texts in statistical science
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The series

**Texts in statistical science**represents a set of related resources, especially of a specified kind, found in**University of Manitoba Libraries**.- Label
- Texts in statistical science

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- Texts in statistical science, v. 63
- A course in categorical data analysis
- A course in large sample theory
- A primer on linear models
- An introduction to generalized linear models
- An introduction to statistical inference and its applications with R
- Analysis of categorical data with R
- Applied categorical and count data analysis
- Applied nonparametric statistical methods
- Applied stochastic modelling
- Bayesian data analysis
- Bayesian ideas and data analysis : an introduction for scientists and statisticians
- Bayesian methods for data analysis
- Bayesian networks : with examples in R
- Computer-aided multivariate analysis
- Design and analysis of experiments with SAS
- Design of experiments : an introduction based on linear models
- Epidemiology : study design and data analysis
- Epidemiology : study design and data analysis
- Exercises and solutions in statistical theory
- Extending the linear model with R : generalized linear, mixed effects and nonparametric regression models
- Generalized additive models : an introduction with R
- Generalized linear mixed models : modern concepts, methods and applications
- Introduction to general and generalized linear models
- Introduction to multivariate analysis : linear and nonlinear modeling
- Introduction to probability with R
- Introduction to statistical limit theory
- Introduction to the theory of statistical inference
- Linear algebra and matrix analysis for statistics
- Linear models with R
- Logistic regression models
- Mathematical statistics
- Mathematical statistics : basic ideas and selected topics
- Modeling and analysis of stochastic systems
- Modelling binary data
- Modelling survival data in medical research
- Modelling survival data in medical research
- Multivariate survival analysis and competing risks
- Nonlinear time series : theory, methods and applications with R examples
- Nonparametric methods in statistics with SAS applications
- Practical data analysis for designed experiments
- Practical multivariate analysis
- Principles of uncertainty
- Problem solving : a statistician's guide
- Randomization, Bootstrap and Monte Carlo methods in biology
- Randomization, bootstrap and Monte Carlo methods in biology
- Stationary stochastic processes : theory and applications
- Statistical inference : an integrated approach
- Statistical methods in agriculture and experimental biology
- Statistical regression and classification : from linear models to machine learning
- Statistical theory : a concise introduction
- Statistics for epidemiology
- Stochastic modeling and mathematical statistics : a text for statisticians and quantitative scientists
- Stochastic processes : an introduction
- The BUGS book : a practical introduction to Bayesian analysis
- The analysis of time series : an introduction
- Theory of spatial statistics : a concise introduction
- Theory of stochastic objects : probability, stochastic processes and inference
- Time series : modeling, computation, and inference
- Time series analysis
- Understanding advanced statistical methods

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