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Probability and Statistics for Computer Scientists, Second Edition, Baron



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Автор: Baron
Название:  Probability and Statistics for Computer Scientists, Second Edition
Издательство: Taylor&Francis
Классификация:
Вероятность и статистика
Прикладная математика
Математическая теория вычисления

ISBN: 1439875901
ISBN-13(EAN): 9781439875902
ISBN: 1-439-87590-1
ISBN-13(EAN): 978-1-439-87590-2
Обложка/Формат: Hardback
Страницы: 473
Вес: 1.07 кг.
Дата издания: 12.09.2013
Серия: Mathematics
Язык: English
Издание: 2 revised edition
Иллюстрации: 23 tables, black and white; 99 illustrations, black and white
Размер: 263 x 178 x 28
Читательская аудитория: General (us: trade)
Ключевые слова: Information technology: general issues, MATHEMATICS / General,MATHEMATICS / Probability & Statistics / General
Ссылка на Издательство: Link
Рейтинг:
Поставляется из: Англии
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.





      Новое издание
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.

      Старое издание
Probability and Statistics for Computer Scientists

Автор: Baron, Michael
Название: Probability and Statistics for Computer Scientists
ISBN: 1584886412 ISBN-13(EAN): 9781584886419
Издательство: Taylor&Francis
Цена: 4619 р.
Наличие на складе: Поставка под заказ.
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.


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
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Цена: 12705 р.
Наличие на складе: Поставка под заказ.

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: Johnson
Название: Probability and Statistics for Computer Science
ISBN: 0470383429 ISBN-13(EAN): 9780470383421
Издательство: Wiley
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Цена: 12821 р.
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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 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
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Цена: 7314 р.
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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.

Response Surface Methodology

Автор: Myers Raymond H.
Название: Response Surface Methodology
ISBN: 1118916018 ISBN-13(EAN): 9781118916018
Издательство: Wiley
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Цена: 13745 р.
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Описание: Praise for the Third Edition : This new third edition has been substantially rewritten and updated with new topics and material, new examples and exercises, and to more fully illustrate modern applications of RSM.     Zentralb

Elementary probability for applications

Автор: Durrett, Rick
Название: Elementary probability for applications
ISBN: 0521867568 ISBN-13(EAN): 9780521867566
Издательство: Cambridge Academ
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Цена: 7246 р.
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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.

Introduction to Probability with Mathematica, Second Edition

Автор: Hastings
Название: Introduction to Probability with Mathematica, Second Edition
ISBN: 1420079387 ISBN-13(EAN): 9781420079388
Издательство: Taylor&Francis
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Цена: 9585 р.
Наличие на складе: Невозможна поставка.

Описание: Updated to conform to Mathematica® 7.0, this second edition shows how to easily create simulations from templates and solve problems using Mathematica. Along with new sections on order statistics, transformations of multivariate normal random variables, and Brownian motion, this edition offers an expanded section on Markov chains, more example data of the normal distribution, and more attention on conditional expectation. It also includes additional problems from Actuarial Exam P as well as new examples, exercises, and data sets. The accompanying CD-ROM contains updated Mathematica notebooks and a revised solutions manual is available for qualifying instructors.

Lectures on Probability Theory and Statistics / Ecole d`EtГ© de ProbabilitГ©s de Saint-Flour XXXI - 2001

Автор: TavarГ© Simon, Zeitouni Ofer, Picard Jean
Название: Lectures on Probability Theory and Statistics / Ecole d`EtГ© de ProbabilitГ©s de Saint-Flour XXXI - 2001
ISBN: 3540208321 ISBN-13(EAN): 9783540208327
Издательство: Springer
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Цена: 5951 р.
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Описание: This volume contains lectures given at the 31st Probability Summer School in Saint-Flour (July 8-25, 2001). Simon Tavaré’s lectures serve as an introduction to the coalescent, and to inference for ancestral processes in population genetics. The stochastic computation methods described include rejection methods, importance sampling, Markov chain Monte Carlo, and approximate Bayesian methods. Ofer Zeitouni’s course on "Random Walks in Random Environment" presents systematically the tools that have been introduced to study the model. A fairly complete description of available results in dimension 1 is given. For higher dimension, the basic techniques and a discussion of some of the available results are provided. The contribution also includes an updated annotated bibliography and suggestions for further reading. Olivier Catoni's course appears separately.

Lectures on Probability Theory and Statistics / Ecole d`EtГ© de ProbabilitГ©s de Saint-Flour XXXII - 2002

Автор: Tsirelson Boris, Werner Wendelin, Picard Jean
Название: Lectures on Probability Theory and Statistics / Ecole d`EtГ© de ProbabilitГ©s de Saint-Flour XXXII - 2002
ISBN: 3540213163 ISBN-13(EAN): 9783540213161
Издательство: Springer
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Цена: 4697 р.
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Описание: This is yet another indispensable volume for all probabilists and collectors of the Saint-Flour series, and is also of great interest for mathematical physicists. It contains two of the three lecture courses given at the 32nd Probability Summer School in Saint-Flour (July 7-24, 2002). Tsirelson's lectures introduce the notion of nonclassical noise produced by very nonlinear functions of many independent random variables, for instance singular stochastic flows or oriented percolation. Werner's contribution gives a survey of results on conformal invariance, scaling limits and properties of some two-dimensional random curves. It provides a definition and properties of the Schramm-Loewner evolutions, computations (probabilities, critical exponents), the relation with critical exponents of planar Brownian motions, planar self-avoiding walks, critical percolation, loop-erased random walks and uniform spanning trees.

Applied Probability and Statistics

Автор: Lefebvre
Название: Applied Probability and Statistics
ISBN: 0387284540 ISBN-13(EAN): 9780387284545
Издательство: Springer
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Цена: 7314 р.
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Описание: This book moves systematically through the topic of applied probability from an introductory chapter to random variables and vectors, stochastic processes, estimation, testing and regression and more. Includes solved and unsolved problems, review questions, and historical notes on the mathematicians mentioned throughout.

Theory of Probability and Random Processes

Автор: Koralov
Название: Theory of Probability and Random Processes
ISBN: 3540254846 ISBN-13(EAN): 9783540254843
Издательство: Springer
Рейтинг:
Цена: 6269 р.
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Описание: A one-year course in probability theory and the theory of random processes, taught at Princeton University to undergraduate and graduate students, forms the core of the content of this bookIt is structured in two parts: the first part providing a detailed discussion of Lebesgue integration, Markov chains, random walks, laws of large numbers, limit theorems, and their relation to Renormalization Group theory. The second part includes the theory of stationary random processes, martingales, generalized random processes, Brownian motion, stochastic integrals, and stochastic differential equations. One section is devoted to the theory of Gibbs random fields.This material is essential to many undergraduate and graduate courses. The book can also serve as a reference for scientists using modern probability theory in their research.

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
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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.

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
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Цена: 24486 р.
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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


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