Probability and statistics for computer scientists
Resource Information
The work Probability and statistics for computer scientists represents a distinct intellectual or artistic creation found in University of Manitoba Libraries. This resource is a combination of several types including: Work, Language Material, Books.
The Resource
Probability and statistics for computer scientists
Resource Information
The work Probability and statistics for computer scientists represents a distinct intellectual or artistic creation found in University of Manitoba Libraries. This resource is a combination of several types including: Work, Language Material, Books.
 Label
 Probability and statistics for computer scientists
 Statement of responsibility
 Michael Baron
 Subject

 MATHEMATICS / Probability & Statistics / General
 Probabilities
 Textbooks
 Probabilities  Textbooks
 Statistique mathématique  Simulation par ordinateur
 MATHEMATICS / General
 Probabilities  Computer simulation
 Mathematical statistics  Textbooks
 Mathematical statistics  Computer simulation
 Probabilities  Computer simulation  Textbooks
 Probabilités  Simulation par ordinateur
 Mathematical statistics  Computer simulation  Textbooks
 Mathematical statistics
 Language
 eng
 Summary

 "StudentFriendly Coverage of Probability, Statistical Methods, Simulation, and Modeling ToolsIncorporating feedback from instructors and researchers who used the previous edition, Probability and Statistics for Computer Scientists, Second Edition helps students understand general methods of stochastic modeling, simulation, and data analysis; make optimal decisions under uncertainty; model and evaluate computer systems and networks; and prepare for advanced probabilitybased courses. Written in a lively style with simple language, this classroomtested book can now be used in both one and twosemester courses.New to the Second EditionAxiomatic introduction of probability Expanded coverage of statistical inference, including standard errors of estimates and their estimation, inference about variances, chisquare tests for independence and goodness of fit, nonparametric statistics, and bootstrapMore exercises at the end of each chapterAdditional MATLAB® codes, particularly new commands of the Statistics ToolboxInDepth yet Accessible Treatment of Computer ScienceRelated TopicsStarting with the fundamentals of probability, the text takes students through topics heavily featured in modern computer science, computer engineering, software engineering, and associated fields, such as computer simulations, Monte Carlo methods, stochastic processes, Markov chains, queuing theory, statistical inference, and regression. It also meets the requirements of the Accreditation Board for Engineering and Technology (ABET).Encourages Practical Implementation of SkillsUsing simple MATLAB commands (easily translatable to other computer languages), the book provides short programs for implementing the methods of probability and statistics as well as for visualizing randomness, the behavior of random variables and stochastic processes, convergence results, and Monte Carlo simulations. Preliminary knowledge of MATLAB is not required. Along with numerous computer science applications and worked examples, the text presents interesting facts and paradoxical statements. Each chapter concludes with a short summary and many exercises"
 "Preface Starting with the fundamentals of probability, this text leads readers to computer simulations and Monte Carlo methods, stochastic processes and Markov chains, queuing theory, statistical inference, and regression. These areas are heavily used in modern computer science, computer engineering, software engineering, and related fields. For whom this book is written The book is primarily intended for junior undergraduate to beginning graduate level students majoring in computerrelated fields  computer science, software engineering, information systems, information technology, telecommunications, etc. At the same time, it can be used by electrical engineering, mathematics, statistics, natural science, and other majors for a standard calculusbased introductory statistics course. Standard topics in probability and statistics are covered in Chapters 14 and 89. Graduate students can use this book to prepare for probabilitybased courses such as queuing theory, artificial neural networks, computer performance, etc. The book can also be used as a standard reference on probability and statistical methods, simulation, and modeling tools"
 Assigning source

 Provided by publisher
 Provided by publisher
 Cataloging source
 DLC
 Dewey number
 519.201/13
 Illustrations
 illustrations
 Index
 index present
 LC call number
 QA273
 LC item number
 .B2575 2014
 Literary form
 non fiction
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