Free Book Online
Book Introduction to Statistics Through Resampling Methods and R


Introduction to Statistics Through Resampling Methods and R

3.4 (4027)

Log in to rate this item

    Available in PDF - DJVU Format | Introduction to Statistics Through Resampling Methods and R.pdf | Language: ENGLISH
    Phillip I. Good(Author)

    Book details

A highly accessible alternative approach to basic statistics Praise for the First Edition:  "Certainly one of the most impressive little paperback 200-page introductory statistics books that I will ever see . . . it would make a good nightstand book for every statistician."—Technometrics 

Written in a highly accessible style, Introduction to Statistics through Resampling Methods and R, Second Edition guides students in the understanding of descriptive statistics, estimation, hypothesis testing, and model building. The book emphasizes the discovery method, enabling readers to ascertain solutions on their own rather than simply copy answers or apply a formula by rote.  The Second Edition utilizes the R programming language to simplify tedious computations, illustrate new concepts, and assist readers in completing exercises. The text facilitates quick learning through the use of: 

More than 250 exercises—with selected "hints"—scattered throughout to stimulate readers' thinking and to actively engage them in applying their newfound skills 

An increased focus on why a method is introduced 

Multiple explanations of basic concepts 

Real-life applications in a variety of disciplines 

Dozens of thought-provoking, problem-solving questions in the final chapter to assist readers in applying statistics to real-life applications 

Introduction to Statistics through Resampling Methods and R, Second Edition is an excellent resource for students and practitioners in the fields of agriculture, astrophysics, bacteriology, biology, botany, business, climatology, clinical trials, economics, education, epidemiology, genetics, geology, growth processes, hospital administration, law, manufacturing, marketing, medicine, mycology, physics, political science, psychology, social welfare, sports, and toxicology who want to master and learn to apply statistical methods.

PHILLIP I. GOOD, PhD, is Operations Manager of Information Research, a consulting firm specializing in statistical solutions for private and public organizations. He has published over thirty scholarly works, more than 600 articles, and forty-four books, including Common Errors in Statistics (and How to Avoid Them) and A Manager's Guide to the Design and Conduct of Clinical Trials, both published by Wiley.

2.4 (11085)
  • Pdf

*An electronic version of a printed book that can be read on a computer or handheld device designed specifically for this purpose.

Formats for this Ebook

Required Software Any PDF Reader, Apple Preview
Supported Devices Windows PC/PocketPC, Mac OS, Linux OS, Apple iPhone/iPod Touch.
# of Devices Unlimited
Flowing Text / Pages Pages
Printable? Yes

Book details

  • PDF | 224 pages
  • Phillip I. Good(Author)
  • Wiley; 2 edition (February 11, 2013)
  • English
  • 2
  • Science & Math

Read online or download a free book: Introduction to Statistics Through Resampling Methods and R


Review Text

  • By King Kong on September 12, 2015

    You wouldn't be able to use it for self-study unless you already know a fair amount about statistics (an intro level course, say). Which fortunately I do (I've been teaching it for 30 years), but be aware if you don't that the words Introduction to Statistics in the title are misleading. A more appropriate title would have been Introduction to Resampling Methods Using R. If you're not familiar with R, don't count on learning it here! You're going to need another source for that. I'd recommend Dalgaard's Introductory Statistics With R. Oftentimes, Good leaves the reader uniformed about the syntax of an R function, essentially reducing the learning process to "just type this and don't ask why." Finally, in places the R code just gets freakishly bizarre, taking a good many lines of code to do something that could be done much more simply with two or three lines. I read about half of it and then decided there were more productive ways I could be spending my time.

  • By metasoft on January 26, 2016

    i like the writing style.

  • Name:
    The message text*: