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Written in a lively style with simple language, this classroom-tested book can now be used in both one- and two-semester courses.   New to the Second Edition         Axiomatic introduction of probability  Expanded coverage of statistical inference, including standard errors of estimates and their estimation, inference about variances, chi-square tests for independence and goodness of fit, nonparametric statistics, and bootstrap More exercises at the end of each chapter Additional MATLAB® codes, particularly new commands of the Statistics Toolbox      In-Depth yet Accessible Treatment of Computer Science-Related Topics Starting 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 Skills Using 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. 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[He] has taken great care to select examples that are interesting and practical for computer scientists. ... The content is illustrated with numerous figures, and concludes with appendices and an index. The book is erudite and … could work well as a required text for an advanced undergraduate or graduate course.\" ---Computing Reviews  Probability and Statistics for Computer Scientists, Third Edition helps students understand fundamental concepts of Probability and Statistics, general methods of stochastic modeling, simulation, queuing, and statistical data analysis; make optimal decisions under uncertainty; model and evaluate computer systems; and prepare for advanced probability-based courses. Written in a lively style with simple language and now including R as well as MATLAB, this classroom-tested book can be used for one- or two-semester courses.  Features:         Axiomatic introduction of probability       Expanded coverage of statistical inference and data analysis, including estimation and testing, Bayesian approach, multivariate regression, chi-square tests for independence and goodness of fit, nonparametric statistics, and bootstrap      Numerous motivating examples and exercises including computer projects      Fully annotated R codes in parallel to MATLAB      Applications in computer science, software engineering, telecommunications, and related areas  In-Depth yet Accessible Treatment of Computer Science-Related Topics Starting 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).  About the Author      Michael Baron   is David Carroll Professor of Mathematics and Statistics at American University in Washington D. C. He conducts research in sequential analysis and optimal stopping, change-point detection, Bayesian inference, and applications of statistics in epidemiology, clinical trials, semiconductor manufacturing, and other fields. M. Baron is a Fellow of the American Statistical Association and a recipient of the Abraham Wald Prize for the best paper in Sequential Analysis and the Regents Outstanding Teaching Award. M. Baron holds a Ph.D. in statistics from the University of Maryland. 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Genre Go Round Reviews called The Journey Home \"a great family drama,\" while CMash Loves to Read said that Spinning was \"an engrossing read that pulls on your heartstrings and doesn't let go, even after you read the last page.\"With Anything, Michael Baron again draws readers into a world of deep emotion, compelling relationships, and heartfelt humor, and this time he adds a touch of fantasy. Ken and Melissa are at the dawn of a magnificent life together. A passionate romance has led them to the doorstep of marriage. While searching for the perfect wedding present for Melissa, Ken stumbles into a mysterious shop. There, he is given an extraordinary opportunity - to look in on Melissa when she was a girl. Ken has always wished he could have known Melissa from the day she was born and this seems like an incredible blessing.Until he discovers a terrible secret in Melissa's past, one so awful she has found it impossible to mention to him. Now Ken has another extraordinary opportunity. 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