How Long to Read Probability with R

How Long Does it Take to Read Probability with R?

It takes the average reader 8 hours and 46 minutes to read Probability with R by Jane M. Horgan

Assuming a reading speed of 250 words per minute. Learn more

Description

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 R 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 Probability with R: An Introduction with Computer Science Applications, Second Edition 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, Probability with R: An Introduction with Computer Science Applications, Second Edition 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.

How long is Probability with R?

Probability with R by Jane M. Horgan is 522 pages long, and a total of 131,544 words.

This makes it 176% the length of the average book. It also has 161% more words than the average book.

How Long Does it Take to Read Probability with R Aloud?

The average oral reading speed is 183 words per minute. This means it takes 11 hours and 58 minutes to read Probability with R aloud.

What Reading Level is Probability with R?

Probability with R is suitable for students ages 12 and up.

Note that there may be other factors that effect this rating besides length that are not factored in on this page. This may include things like complex language or sensitive topics not suitable for students of certain ages.

When deciding what to show young students always use your best judgement and consult a professional.

Where Can I Buy Probability with R?

Probability with R by Jane M. Horgan is sold by several retailers and bookshops. However, Read Time works with Amazon to provide an easier way to purchase books.

To buy Probability with R by Jane M. Horgan on Amazon click the button below.