Author: William Cyrus Navidi
Publisher: McGraw-Hill
Published: 2008
Total Pages: 936
ISBN-13:
DOWNLOAD EBOOK →Author: Adam Prügel-Bennett
Publisher: Cambridge University Press
Published: 2020-01-23
Total Pages: 475
ISBN-13: 1108480535
DOWNLOAD EBOOK →Using examples and building intuition, this friendly guide helps readers understand and use probabilistic tools from basic to sophisticated.
Author: Kishor S. Trivedi
Publisher: John Wiley & Sons
Published: 2016-06-30
Total Pages: 1042
ISBN-13: 1119314208
DOWNLOAD EBOOK →An accessible introduction to probability, stochastic processes, and statistics for computer science and engineering applications Second edition now also available in Paperback. This updated and revised edition of the popular classic first edition relates fundamental concepts in probability and statistics to the computer sciences and engineering. The author uses Markov chains and other statistical tools to illustrate processes in reliability of computer systems and networks, fault tolerance, and performance. This edition features an entirely new section on stochastic Petri nets—as well as new sections on system availability modeling, wireless system modeling, numerical solution techniques for Markov chains, and software reliability modeling, among other subjects. Extensive revisions take new developments in solution techniques and applications into account and bring this work totally up to date. It includes more than 200 worked examples and self-study exercises for each section. Probability and Statistics with Reliability, Queuing and Computer Science Applications, Second Edition offers a comprehensive introduction to probability, stochastic processes, and statistics for students of computer science, electrical and computer engineering, and applied mathematics. Its wealth of practical examples and up-to-date information makes it an excellent resource for practitioners as well. An Instructor's Manual presenting detailed solutions to all the problems in the book is available from the Wiley editorial department.
Author: Michael Baron
Publisher: CRC Press
Published: 2013-08-05
Total Pages: 475
ISBN-13: 1439875901
DOWNLOAD EBOOK →Student-Friendly Coverage of Probability, Statistical Methods, Simulation, and Modeling Tools Incorporating 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 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. Each chapter concludes with a short summary and many exercises.
Author: J. Susan Milton
Publisher: McGraw-Hill Europe
Published: 2012-11
Total Pages: 450
ISBN-13: 9780071087858
DOWNLOAD EBOOK →Helps students to understand statistical methods and reasoning as well as practice in using them. This book includes examples and exercises that are specially chosen for those looking for careers in the engineering and computing sciences. It is intended as a first course in probability and applied statistics for students.
Author: Janet Susan Milton
Publisher:
Published: 1986
Total Pages: 0
ISBN-13: 9780071005746
DOWNLOAD EBOOK →Author: Walter A. Rosenkrantz
Publisher: CRC Press
Published: 2008-07-10
Total Pages: 680
ISBN-13: 158488813X
DOWNLOAD EBOOK →Integrating interesting and widely used concepts of financial engineering into traditional statistics courses, Introduction to Probability and Statistics for Science, Engineering, and Finance illustrates the role and scope of statistics and probability in various fields. The text first introduces the basics needed to understand and create
Author: Michael Baron
Publisher: CRC Press
Published: 2018-11-14
Total Pages: 427
ISBN-13: 1420011421
DOWNLOAD EBOOK →In modern computer science, software engineering, and other fields, the need arises to make decisions under uncertainty. Presenting probability and statistical methods, simulation techniques, and modeling tools, Probability and Statistics for Computer Scientists helps students solve problems and make optimal decisions in uncertain conditions