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Download Introduction to Statistics Through Resampling Methods and R/S-PLUS ePub

by Phillip I. Good

Download Introduction to Statistics Through Resampling Methods and R/S-PLUS ePub
  • ISBN 0471715751
  • ISBN13 978-0471715757
  • Language English
  • Author Phillip I. Good
  • Publisher Wiley-Interscience; 1 edition (July 13, 2005)
  • Pages 248
  • Formats rtf doc mbr txt
  • Category Math
  • Subcategory Mathematics
  • Size ePub 1220 kb
  • Size Fb2 1911 kb
  • Rating: 4.8
  • Votes: 694

Stimulate learning through discovery

With its emphasis on the discovery method, this book allows readers to discover solutions on their own rather than simply copy answers or apply a formula by rote. Readers will quickly master and learn to apply statistical methods, such as bootstrap, decision trees, and permutations, to better characterize, report, test, and classify their research findings. In addition to traditional methods, specialized methods are covered, allowing readers to select and apply the most effective method for their research, including:

Tests and estimation procedures for one, two, and multiple samples Model building Multivariate analysis Complex experimental design

Throughout the text, the R programming language is used to illustrate new concepts and assist readers in completing exercises. Readers may download the freely available R programming language from the Internet or take advantage of the menu-driven S-PLUS® program.

Written in an informal, highly accessible style, this text is an excellent guide to descriptive statistics, estimation, testing hypotheses, and model building. All the pedagogical tools needed to facilitate quick learning are provided:

More than two hundred exercises scattered throughout the text stimulate readers' thinking and actively engage them in applying their newfound skills Companion FTP site provides access to all data sets and programs discussed in the text Dozens of thought-provoking questions in the final chapter, Problem Solving, assist readers in applying statistics to address real-life problems Instructor's manual provides answers to exercises Helpful appendices include an introduction to S-PLUS® features

This text serves as an excellent introduction to statistics for students in all disciplines. The accessible style and focus on real-life problem solving are perfectly suited for both students and practitioners.


Learn statistical methods quickly and easily with the discovery method. This text serves as an excellent introduction to statistics for students in all disciplines

Learn statistical methods quickly and easily with the discovery method. With its emphasis on the discovery method, this publication encourages readers to discover solutions on their own rather than simply copy answers or apply a formula by rote. This text serves as an excellent introduction to statistics for students in all disciplines.

This book is fine if you want to learn about resampling, but if you . The title of the book would have been more accurate if it said "Introduction to Statistics Through Resampling Methods and using Add-ins for Microsoft Excel".

This book is fine if you want to learn about resampling, but if you are interested in learning how to program the algorithms in Excel this is not the book for you. The author is using the book to promote certain Excel ad-ins and if that is what you want then that's great.

Features include: The R and S-PLUS? programming are used to illustrate the concepts and to aid the reader in completing the exercises

Authors and affiliations. First Online: 28 June 2006.

Authors and affiliations. Authors and Affiliations.

Request PDF On Dec 1, 2014, Michail Tsagris and others published Statistics through resampling methods .

This book provides students and others with a firm foundation in a wide range of statistical and probabilistic methods for the modelling of risk, including short-term risk modelling, model-based pricing, risk-sharing, ruin theory and credibility. It covers much of the international syllabuses for professional actuarial examinations in risk models, but goes into further depth, with worked examples, exercises and detailed case studies.

Introduction to Statistics Through Resampling Methods and R/S-PLUS. Phillip I. Good," The American Statistician, American Statistical Association, vol. 60, pages 343-344, November. Handle: RePEc:bes:amstat:v:60:y:2006:m:november:p:343-344. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

Introduction to Statistics Through Resampling Methods and R/S-PLUS aspires to introduce statistical methodology to a wide audience, simply, intuitively, and efficiently, through resampling from data at hand and by way of the computer programs R and S-PLUS

Introduction to Statistics Through Resampling Methods and R/S-PLUS aspires to introduce statistical methodology to a wide audience, simply, intuitively, and efficiently, through resampling from data at hand and by way of the computer programs R and S-PLUS.

Phillip Good - Phillip I. Good (born in 1937) is a Canadian American mathematical statistician, a cell biologist, and novelist.

Talk about Introduction to Statistics Through Resampling Methods and R/S-PLUS


Quemal
Even though the preface reads, "Intended for class use or self-study, this text aspires to introduce statistical methodology to a wide audience, simply and intuitively, through resampling from the data at hand", this book falls short of its goal - it is neither simple enough for those beginning in Statistics, nor a good first choice for those beginning in R/S-Plus (the software used in the examples).

The book may work for classroom use (where the instructor will fill in the gaps) but not as a first read for self-study. A chapter with solutions to the exercises or an independent solutions volume would certainly make self-study easier in this case.

However, notice that one already familiar with Statistics and R/S-Plus will be able to benefit from the book.

Look for other options if you are beginning both in Statistics and R/S-Plus - there are many. If you are specifically interested in resampling, check "Resampling: The New Statistics" by Julian Simon.
Fararala
I must say that the title overpromises what the actual content is, you are better off reading tutorials online. I know how to use R but wanted to learn more about resampling it turned out this book is too basic and definitely not worth the listed price.