000			04601cam a2200361 i 4500
001			17815154
003			OSt
005			20170803170319.0
008			130717s2014 flua 001 0 eng
010			_a 2013026153
020			_a9781439875902 (hardback)
040			_aDLC _beng _cDLC _erda _dDLC
042			_apcc
050	0	0	_aQA273 _b.B2575 2014
082	0	0	_a519.20113 _223 _bBMP
084			_aMAT000000 _aMAT029000 _2bisacsh
100	1		_aBaron, Michael, _d1968- _eauthor. _958270
245	1	0	_aProbability and statistics for computer scientists / _cMichael Baron.
250			_aSecond edition.
300			_a449 pages : _billustrations ; _c26 cm
500			_aIncludes index.
504			_aIncludes bibliographical references and index.
520			_a"Student-Friendly 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 probability-based courses. 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 EditionAxiomatic 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 bootstrapMore exercises at the end of each chapterAdditional MATLAB® codes, particularly new commands of the Statistics ToolboxIn-Depth yet Accessible Treatment of Computer Science-Related 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"--
520			_a"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 computer-related 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 calculus-based introductory statistics course. Standard topics in probability and statistics are covered in Chapters 1-4 and 8-9. Graduate students can use this book to prepare for probability-based 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"--
650		0	_aProbabilities _vTextbooks. _918177
650		0	_aMathematical statistics _vTextbooks. _958271
650		0	_aProbabilities _xComputer simulation _vTextbooks. _958272
650		0	_aMathematical statistics _xComputer simulation _vTextbooks. _958273
650		7	_aMATHEMATICS / General. _2bisacsh _917311
650		7	_aMATHEMATICS / Probability & Statistics / General. _2bisacsh _941658
942			_cBOOK
999			_c40354 _d309974