How Long to Read Nonparametric Statistics with Applications to Science and Engineering with R

How Long Does it Take to Read Nonparametric Statistics with Applications to Science and Engineering with R?

It takes the average reader 7 hours and 35 minutes to read Nonparametric Statistics with Applications to Science and Engineering with R by Paul Kvam

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

Description

NONPARAMETRIC STATISTICS WITH APPLICATIONS TO SCIENCE AND ENGINEERING WITH R Introduction to the methods and techniques of traditional and modern nonparametric statistics, incorporating R code Nonparametric Statistics with Applications to Science and Engineering with R presents modern nonparametric statistics from a practical point of view, with the newly revised edition including custom R functions implementing nonparametric methods to explain how to compute them and make them more comprehensible. Relevant built-in functions and packages on CRAN are also provided with a sample code. R codes in the new edition not only enable readers to perform nonparametric analysis easily, but also to visualize and explore data using R’s powerful graphic systems, such as ggplot2 package and R base graphic system. The new edition includes useful tables at the end of each chapter that help the reader find data sets, files, functions, and packages that are used and relevant to the respective chapter. New examples and exercises that enable readers to gain a deeper insight into nonparametric statistics and increase their comprehension are also included. Some of the sample topics discussed in Nonparametric Statistics with Applications to Science and Engineering with R include: Basics of probability, statistics, Bayesian statistics, order statistics, Kolmogorov–Smirnov test statistics, rank tests, and designed experiments Categorical data, estimating distribution functions, density estimation, least squares regression, curve fitting techniques, wavelets, and bootstrap sampling EM algorithms, statistical learning, nonparametric Bayes, WinBUGS, properties of ranks, and Spearman coefficient of rank correlation Chi-square and goodness-of-fit, contingency tables, Fisher exact test, MC Nemar test, Cochran’s test, Mantel–Haenszel test, and Empirical Likelihood Nonparametric Statistics with Applications to Science and Engineering with R is a highly valuable resource for graduate students in engineering and the physical and mathematical sciences, as well as researchers who need a more comprehensive, but succinct understanding of modern nonparametric statistical methods.

How long is Nonparametric Statistics with Applications to Science and Engineering with R?

Nonparametric Statistics with Applications to Science and Engineering with R by Paul Kvam is 452 pages long, and a total of 113,904 words.

This makes it 153% the length of the average book. It also has 139% more words than the average book.

How Long Does it Take to Read Nonparametric Statistics with Applications to Science and Engineering with R Aloud?

The average oral reading speed is 183 words per minute. This means it takes 10 hours and 22 minutes to read Nonparametric Statistics with Applications to Science and Engineering with R aloud.

What Reading Level is Nonparametric Statistics with Applications to Science and Engineering with R?

Nonparametric Statistics with Applications to Science and Engineering 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 Nonparametric Statistics with Applications to Science and Engineering with R?

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