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Probability and Statistics for Computer Scientists, Baron, Michael



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Цена: 4619р.
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Автор: Baron, Michael
Название:  Probability and Statistics for Computer Scientists
Издательство: Taylor&Francis
Классификация:
Вероятность и статистика

ISBN: 1584886412
ISBN-13(EAN): 9781584886419
ISBN: 1-58488-641-2
ISBN-13(EAN): 978-1-58488-641-9
Обложка/Формат: Hardback
Страницы: 432
Вес: 0.734 кг.
Дата издания: 13.12.2006
Язык: English
Иллюстрации: 79 black & white illustrations, 6 black & white tables
Размер: 23.67 x 16.46 x 2.74 cm
Читательская аудитория: Professional & vocational
Ссылка на Издательство: Link
Рейтинг:
Поставляется из: Англии
Описание: Presents the elementary rules of probability and distributions, stochastic processes, and Markov chains. This work introduces tools used in queuing theory, including discrete-time and continuous-time queuing systems, and also covers such topics as statistical interference, estimation and testing, regression, and model fitting.
Дополнительное описание: Subject: Statistics Statistics for Engineering and Physical Science; Edition: 1; Reader Level: Undergraduate




      Новое издание
Probability and Statistics for Computer Scientists, Second Edition

Автор: Baron
Название: Probability and Statistics for Computer Scientists, Second Edition
ISBN: 1439875901 ISBN-13(EAN): 9781439875902
Издательство: Taylor&Francis
Цена: 9932 р.
Наличие на складе: Нет в наличии.
Описание:

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(R) 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.


Probability and Statistics for Computer Scientists, Third Edition

Автор: Michael Baron
Название: Probability and Statistics for Computer Scientists, Third Edition
ISBN: 1138044482 ISBN-13(EAN): 9781138044487
Издательство: Taylor&Francis
Цена: 10626 р.
Наличие на складе: Есть у поставщикаПоставка под заказ.
Описание: Probability and statistical methods, simulation techniques, and modeling tools. This third edition textbook adds R, including codes for data analysis examples, helps students solve problems, make optimal decisions in select stochastic models, probabilities and forecasts, and evaluate performance of computer systems and networks.


Probability, Statistics, and Reliability for Engineers and Scientists, Third Edition

Автор: Bilal M. Ayyub
Название: Probability, Statistics, and Reliability for Engineers and Scientists, Third Edition
ISBN: 1439809518 ISBN-13(EAN): 9781439809518
Издательство: Taylor&Francis
Рейтинг:
Цена: 12705 р.
Наличие на складе: Нет в наличии.

Описание:

In a technological society, virtually every engineer and scientist needs to be able to collect, analyze, interpret, and properly use vast arrays of data. This means acquiring a solid foundation in the methods of data analysis and synthesis. Understanding the theoretical aspects is important, but learning to properly apply the theory to real-world problems is essential.

Probability, Statistics, and Reliability for Engineers and Scientists, Third Edition introduces the fundamentals of probability, statistics, reliability, and risk methods to engineers and scientists for the purposes of data and uncertainty analysis and modeling in support of decision making.

The third edition of this bestselling text presents probability, statistics, reliability, and risk methods with an ideal balance of theory and applications. Clearly written and firmly focused on the practical use of these methods, it places increased emphasis on simulation, particularly as a modeling tool, applying it progressively with projects that continue in each chapter. This provides a measure of continuity and shows the broad use of simulation as a computational tool to inform decision making processes. This edition also features expanded discussions of the analysis of variance, including single- and two-factor analyses, and a thorough treatment of Monte Carlo simulation. The authors not only clearly establish the limitations, advantages, and disadvantages of each method, but also show that data analysis is a continuum rather than the isolated application of different methods.

Like its predecessors, this book continues to serve its purpose well as both a textbook and a reference. Ultimately, readers will find the content of great value in problem solving and decision making, particularly in practical applications.

Probability and Statistics for Computer Science

Автор: James L. Johnson
Название: Probability and Statistics for Computer Science
ISBN: 0471326720 ISBN-13(EAN): 9780471326724
Издательство: Wiley
Рейтинг:
Цена: 24486 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: Comprehensive and thorough development of both probability and statistics for serious computer scientists; goal-oriented: "to present the mathematical analysis underlying probability results"
Special emphases on simulation and discrete decision theory
Mathematically-rich, but self-contained text, at a gentle pace
Review of calculus and linear algebra in an appendix
Mathematical interludes (in each chapter) which examine mathematical techniques in the context of probabilistic or statistical importance
Numerous section exercises, summaries, historical noteand Further Readings for reinforcement of content

Probability Distributions Involving Gaussian Random Variables / A Handbook for Engineers and Scientists

Автор: Simon Marvin K., Riedel Eibe
Название: Probability Distributions Involving Gaussian Random Variables / A Handbook for Engineers and Scientists
ISBN: 0387346570 ISBN-13(EAN): 9780387346571
Издательство: Springer
Рейтинг:
Цена: 7314 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: This handbook brings together a comprehensive collection of mathematical material in one location. It also offers a variety of new results interpreted in a form that is particularly useful to engineers, scientists, and applied mathematicians.

Elementary probability for applications

Автор: Durrett, Rick
Название: Elementary probability for applications
ISBN: 0521867568 ISBN-13(EAN): 9780521867566
Издательство: Cambridge Academ
Рейтинг:
Цена: 7246 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: This clear and lively introduction to probability theory concentrates on the results that are the most useful for applications, including combinatorial probability and Markov chains. Concise and focused, it is designed for a one-semester introductory course in probability for students who have some familiarity with basic calculus. Reflecting the author's philosophy that the best way to learn probability is to see it in action, there are more than 350 problems and 200 examples. The examples contain all the old standards such as the birthday problem and Monty Hall, but also include a number of applications not found in other books, from areas as broad ranging as genetics, sports, finance, and inventory management.

A History of Probability and Statistics and Their Applications before 1750

Автор: Anders Hald
Название: A History of Probability and Statistics and Their Applications before 1750
ISBN: 0471471291 ISBN-13(EAN): 9780471471295
Издательство: Wiley
Рейтинг:
Цена: 15131 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: Statistics have helped shape every area of science.  Without the means to analyze critical data, none of the great disoveries of the past would be possible.  This paperback reprint of a Wiley bestseller shows the development of these data analysis tools and the manner in which they aided technological development prior to 1750.

Fundamentals of Probability and Statistics for Engineers

Автор: T. T. Soong
Название: Fundamentals of Probability and Statistics for Engineers
ISBN: 0470868147 ISBN-13(EAN): 9780470868140
Издательство: Wiley
Рейтинг:
Цена: 6468 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: Presents the fundamentals of the subject along with concepts of probabilistic modelling, and the process of model selection, verification and analysis. This book includes more than 100 examples and 200 exercises, along with a solutions manual for instructors. It presents the fundamentals in probability and statistics along with their applications.

Fundamentals of Probability and Statistics for Engineers

Автор: T. T. Soong
Название: Fundamentals of Probability and Statistics for Engineers
ISBN: 0470868139 ISBN-13(EAN): 9780470868133
Издательство: Wiley
Рейтинг:
Цена: 17527 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: Presents the fundamentals in probability and statistics along with relevant applications. This book explains the concept of probabilistic modelling and the process of model selection, verification and analysis. It also demonstrates practical problem solving with examples and exercises.

Introduction To Probability And Statistics: Principles And Applications For Engineering And The Computing Sciences

Автор: Milton; Arnold
Название: Introduction To Probability And Statistics: Principles And Applications For Engineering And The Computing Sciences
ISBN: 0071198598 ISBN-13(EAN): 9780071198592
Издательство: McGraw-Hill
Рейтинг:
Цена: 5082 р.
Наличие на складе: Поставка под заказ.

Описание: Designed for the first course in probability and statistics taken by students majoring in engineering and the computing sciences, this text offers a presentation of applications and theory. It aims to develop the theoretical foundations for the statistical methods. It explores the practical implications of the formal results to problem-solving.

Schaum`s Outline of Probability And Statistics

Автор: Spiegel
Название: Schaum`s Outline of Probability And Statistics
ISBN: 0071183574 ISBN-13(EAN): 9780071183574
Издательство: McGraw-Hill
Цена: 1385 р.
Наличие на складе: Поставка под заказ.

Описание: "Schaum's Outline of Probability and Statistics" has become a vital resource for the more than 977,000 college students who enroll in related probability and statistics courses each year. Its big-picture, calculus-based approach makes it an especially authoritative reference for engineering and science majors. Now thoroughly updated, this second edition includes vital new coverage of order statistics, best critical regions, likelihood ratio tests, and other key topics.Additional Information:Tertiary Education (US: College) BIC:PBT Probability & statistics 

Probability and Statistics for Computer Scientists, Second Edition

Автор: Baron
Название: Probability and Statistics for Computer Scientists, Second Edition
ISBN: 1439875901 ISBN-13(EAN): 9781439875902
Издательство: Taylor&Francis
Рейтинг:
Цена: 9932 р.
Наличие на складе: Нет в наличии.

Описание:

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(R) 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.

Probability and Statistics for Computer Science

Автор: Johnson
Название: Probability and Statistics for Computer Science
ISBN: 0470383429 ISBN-13(EAN): 9780470383421
Издательство: Wiley
Рейтинг:
Цена: 12821 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: Begins with basic definitions of probability distributions and random variables and then elaborates on their properties and applications. This book then treats the most common discrete and continuous distributions, shows their use in decision and estimation problems, and constructs computer algorithms for generating observations.

Probability and Statistics with Reliability, Queuing, and Computer Science Applications, 2nd Edition

Автор: Kishor Shridharbhai Trivedi
Название: Probability and Statistics with Reliability, Queuing, and Computer Science Applications, 2nd Edition
ISBN: 0471333417 ISBN-13(EAN): 9780471333418
Издательство: Wiley
Рейтинг:
Цена: 17441 р.
Наличие на складе: Поставка под заказ.

Описание: An accessible introduction to probability, stochastic processes, and statistics for computer science and engineering applications This updated and revised edition of the popular classic 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.


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