Jane M. Horgan - Probability with R

Здесь есть возможность читать онлайн «Jane M. Horgan - Probability with R» — ознакомительный отрывок электронной книги совершенно бесплатно, а после прочтения отрывка купить полную версию. В некоторых случаях можно слушать аудио, скачать через торрент в формате fb2 и присутствует краткое содержание. Жанр: unrecognised, на английском языке. Описание произведения, (предисловие) а так же отзывы посетителей доступны на портале библиотеки ЛибКат.

Probability with R: краткое содержание, описание и аннотация

Предлагаем к чтению аннотацию, описание, краткое содержание или предисловие (зависит от того, что написал сам автор книги «Probability with R»). Если вы не нашли необходимую информацию о книге — напишите в комментариях, мы постараемся отыскать её.

Provides a comprehensive introduction to probability with an emphasis on computing-related applications This self-contained new and extended edition outlines a first course in probability applied to computer-related disciplines. As in the first edition, experimentation and simulation are favoured over mathematical proofs. The freely down-loadable statistical programming language 
is used throughout the text, not only as a tool for calculation and data analysis, but also to illustrate concepts of probability and to simulate distributions. The examples in 
cover a wide range of computer science applications, including: testing program performance; measuring response time and CPU time; estimating the reliability of components and systems; evaluating algorithms and queuing systems. 
Chapters cover: The R language; summarizing statistical data; graphical displays; the fundamentals of probability; reliability; discrete and continuous distributions; and more. 
This second edition includes:
improved R code throughout the text, as well as new procedures, packages and interfaces; updated and additional examples, exercises and projects covering recent developments of computing; an introduction to bivariate discrete distributions together with the R functions used to handle large matrices of conditional probabilities, which are often needed in machine translation; an introduction to linear regression with particular emphasis on its application to machine learning using testing and training data; a new section on spam filtering using Bayes theorem to develop the filters; an extended range of Poisson applications such as network failures, website hits, virus attacks and accessing the cloud; use of new allocation functions in R to deal with hash table collision, server overload and the general allocation problem. The book is supplemented with a Wiley Book Companion Site featuring data and solutions to exercises within the book.
Primarily addressed to students of computer science and related areas, 
is also an excellent text for students of engineering and the general sciences. Computing professionals who need to understand the relevance of probability in their areas of practice will find it useful.

Probability with R — читать онлайн ознакомительный отрывок

Ниже представлен текст книги, разбитый по страницам. Система сохранения места последней прочитанной страницы, позволяет с удобством читать онлайн бесплатно книгу «Probability with R», без необходимости каждый раз заново искать на чём Вы остановились. Поставьте закладку, и сможете в любой момент перейти на страницу, на которой закончили чтение.

Тёмная тема
Сбросить

Интервал:

Закладка:

Сделать

10 Chapter 18TABLE 18.1 Using R to Obtain Normal Probabilities: Probability with R - изображение 7TABLE 18.2 Comparison of Normal and Binomial Probabilities with картинка 8and картинка 9TABLE 18.3 Comparison of Normal and Poisson Probabilities with картинка 10

List of Illustrations

1 Chapter 3 Figure 3.1 A Simple Boxplot Figure 3.2 A Boxplot with Axis Labels Figure 3.3 Multiple Boxplots Figure 3.4 A Gender Comparison Figure 3.5 A Gender Comparison (corrected) Figure 3.6 A Gender Comparison Figure 3.7 A Lattice of Boxplots Figure 3.8 A Histogram with Default Breaks Figure 3.9 A Histogram with Five Breaks of Equal Width Figure 3.10 Histogram of Each Subject in Each Semester Figure 3.11 A Histogram with Breaks of a Specified Width Figure 3.12 Histogram with Percentages FIGURE 3.13 A Stem and Leaf Diagram Figure 3.14 A Scatter Plot Figure 3.15 Use of the картинка 11Function Figure 3.16 The Line of Best Fit Figure 3.17 The Scatter of the Training Data Figure 3.18 The Line of Best Fit for the Training Data Figure 3.19 Differences Between Observed and Estimated картинка 12Values in the Testing... Figure 3.20 Plots of Four Data Sets with Same Means and Standard Deviations

2 Chapter 4Figure 4.1 The Birthday ProbabilitiesFigure 4.2 Allocation of 10 JobsFigure 4.3 Jane's Winnings at Each Toss

3 Chapter 5Figure 5.1 Mutually Exclusive EventsFigure 5.2 Non Mutually Exclusive EventsFigure 5.3 Complementary Events

4 Chapter 6Figure 6.1 Error Probabilities with the Intel ChipFigure 6.2 Compiling Probabilities of C++ and Java ProgramsFigure 6.3 Inquiries to Computer System with Five Communications LinesFigure 6.4 Transmit and Receive Probabilities of a Communication Channel

5 Chapter 8Figure 8.1 A Series SystemFigure 8.2 A Parallel SystemFigure 8.3 Reliability of a Series System with Differing Component Reliability...Figure 8.4 Reliability of a Parallel System with Increasing Number of Componen...Figure 8.5 Reliability of a Series System with картинка 13Components each with Reliabil...Figure 8.6 Reliability of a Parallel System with картинка 14ComponentsFigure 8.7 Reliability of картинка 15Subsystems in Series with Component Reliability of...Figure 8.8 Reliability of картинка 16Subsystems in Series with Component Reliability of...

6 Chapter 9Figure 9.1 Probability Density Function of the Hardware FailuresFigure 9.2 Operand Stack Size of a Java Assembler InterfaceFigure 9.3 Cumulative Distribution Function of Hardware FailuresFigure 9.4 Probability Density FunctionFigure 9.5 Cumulative Distribution FunctionFigure 9.6 Benford's First DigitFigure 9.7 Rolling a DieFigure 9.8 Hardware Failures

7 Chapter 10Figure 10.1 Geometric ProbabilitiesFigure 10.2 Geometric pdfsFigure 10.3 Geometric cdfsFigure 10.4 Simulated Number of Tosses to First HeadFigure 10.5 Simulated and Theoretical Geometric Distributions with картинка 17Figure 10.6 Simulated and Theoretical Geometric Distributions with картинка 18Figure 10.7 Amy's Winnings in 50 PlaysFigure 10.8 Geometric Distribution: Number of Inspections ( картинка 19) to the First Def...

8 Chapter 11Figure 11.1 Binomial pdfsFigure 11.2 Binomial cdfsFigure 11.3 Probabilities of Error‐Free Packets Containing Different Numbers o...Figure 11.4 Correct Classification Probabilities with Varying Numbers of Indep...Figure 11.5 The Probability that More than 10 of 21 Independent Classifiers wi...Figure 11.6 Simulated and Theoretical Binomial Distributions with картинка 20and картинка 21Figure 11.7 Number of Defectives per Sample of 20 with картинка 22

9 Chapter 12Figure 12.1 Hypergeometric pdfsFigure 12.2 Hypergeometric cdfsFigure 12.3 The Lottery with Differing Total Number SetsFigure 12.4 Hypergeometric and Binomial pdfs with картинка 23= 10, картинка 24= 0.1Figure 12.5 Hypergeometric and Binomial pdfs with картинка 25= 10, Probability with R - изображение 26= 0.1

10 Chapter 13Figure 13.1 Horse Kick Fatalities in the Prussian ArmyFigure 13.2 Binomial pdf Probability with R - изображение 27Figure 13.3 Binomial pdf Probability with R - изображение 28Figure 13.4 Binomial pdf Probability with R - изображение 29Figure 13.5 Poisson pdf картинка 30Figure 13.6 Poisson pdfsFigure 13.7 Poisson cdfsFigure 13.8 Bug DetectionFigure 13.9 Simulated Web Hits: Poisson Distribution, картинка 31Figure 13.10 Simulated Web Hits: Poisson Distribution, картинка 32

11 Chapter 14Figure 14.1 Simulated Number of Defectives in Samples of картинка 33= 10 from Batches o...Figure 14.2 Simulated Number of Defectives in Samples of картинка 34drawn from Large Ba...Figure 14.3 Simulated Number of Defectives in Samples of картинка 35drawn from Large Ba...Figure 14.4 Operating Characteristic CurvesFigure 14.5 Ideal Operating Characteristic Curve which Rejects Batches contain...Figure 14.6 Average Outgoing QualityFigure 14.7 Operating Characteristic CurveFigure 14.8 Average Sample Size

Читать дальше
Тёмная тема
Сбросить

Интервал:

Закладка:

Сделать

Похожие книги на «Probability with R»

Представляем Вашему вниманию похожие книги на «Probability with R» списком для выбора. Мы отобрали схожую по названию и смыслу литературу в надежде предоставить читателям больше вариантов отыскать новые, интересные, ещё непрочитанные произведения.


Отзывы о книге «Probability with R»

Обсуждение, отзывы о книге «Probability with R» и просто собственные мнения читателей. Оставьте ваши комментарии, напишите, что Вы думаете о произведении, его смысле или главных героях. Укажите что конкретно понравилось, а что нет, и почему Вы так считаете.

x