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Home Statistics Computational Statistics Probability and Statistics for Computer Scientists, Second Edition Preview this Book Probability and Statistics for Computer Scientists, Second Edition Michael Baron Hardback 66.99 eBook 46.89 eBook Rental from 29.99 August 5, 2013 by Chapman and Hall/CRC Textbook - 449 Pages - 99 B/W Illustrations ISBN 9781439875902 - CAT# K13525 eBooks are subject to VAT, which is applied during the checkout process. In 2007, he was awarded the Abraham Wald Prize in Sequential Analysis. The book is erudite and demands a reader with a firm background in calculus. Wallis And Futuna Western Sahara Yemen Zambia Zimbabwe land Islands This will help us determine what currency and product offerings to display. The text could also be used for a standalone probability course or a two-semester probability and mathematical statistics sequence for mathematics and statistics students."The American Statistician, February 2015 "The author has done his homework on the statistical tools needed for the particular challenges computer scientists encounter in statistics. Reviews " an immensely readable text intended for junior undergraduate to beginning graduate students in computer-related fields, though it could be suitable for any calculus-based probability and/or mathematical statistics course. Top of Page SITE MENU Home My Account Region: Home My Account Wish List About Us Corporate History Careers at CRC Press Conference Schedule Frequently Asked Questions Press Releases Resources For Authors For Booksellers For Instructors For Librarians For the Press For Societies Textbooks Custom Publishing Other CRC Press Sites CRCnetBASE (eBooks) Featured Authors Author News Author Events Stay Connected Sign Up for Email Alerts By using this website, you agree to the use of cookies. Baron is a fellow of the American Statistical Association, a member of the International Society for Bayesian Analysis, and an associate editor of the Journal of Sequential Analysis. Independence Discrete Random Variables and Their Distributions Distribution of a random variable Distribution of a random vector Expectation and varianceFamilies of discrete distributions Continuous Distributions Probability density Families of continuous distributionsCentral limit theorem Computer Simulations and Monte Carlo Methods Introduction Simulation of random variablesSolving problems by Monte Carlo methods Stochastic Processes Stochastic Processes Definitions and classifications Markov processes and Markov chainsCounting processes Simulation of stochastic processes Queuing Systems Main components of a queuing system The Littles Law Bernoulli single-server queuing process M/M/1 system Multiserver queuing systems Simulation of queuing systems Statistics Introduction to Statistics Population and sample, parameters and statistics Simple descriptive statisticsGraphical statistics Statistical Inference I Parameter estimationConfidence intervalsUnknown standard deviationHypothesis testingInference about variances Statistical Inference II Chi-square tests Nonparametric statistics Bootstrap Bayesian inference Regression Least squares estimationAnalysis of variance, prediction, and further inference Multivariate regressionModel building Appendix Appendix Inventory of distributionsDistribution tables Calculus reviewMatrices and linear systems Answers to selected exercises Index Summary, Conclusions, and Exercises are included at the end of each chapter. It also meets the requirements of the Accreditation Board for Engineering and Technology (ABET). This book is primarily intended for junior undergraduate to beginning graduate level students majoring in computer-related fields. .. The country you have selected will result in the following: Product pricing will be adjusted to match the corresponding currency. Learn more about how we use cookies. Already read this title? 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