Distribution-free methods for non-parametric problems
Read Online
Share

Distribution-free methods for non-parametric problems a classified and selected bibliography by Singer, Bernard

  • 206 Want to read
  • ·
  • 86 Currently reading

Published by British Psychological Society in Leicester .
Written in English

Subjects:

  • Nonparametric statistics -- Bibliography,
  • Psychometrics -- Bibliography

Book details:

Edition Notes

StatementBernard Singer.
Classifications
LC ClassificationsZ6654.N67 S56, QA278.8 S56
The Physical Object
Pagination66 p. ;
Number of Pages66
ID Numbers
Open LibraryOL4179231M
ISBN 100901715107
LC Control Number80456981

Download Distribution-free methods for non-parametric problems

PDF EPUB FB2 MOBI RTF

The first meaning of nonparametric covers techniques that do not rely on data belonging to any particular parametric family of probability distributions.. These include, among others: distribution free methods, which do not rely on assumptions that the data are drawn from a given parametric family of probability such it is the opposite of parametric statistics. There are some problems included at the end of each section; you could definitely use the book to learn nonparametric statistics. For a treatment that is much more introductory: Higgins, J. (). distribution free methods, which do not rely on assumptions that the data are drawn from a given probability distribution. As such it is the opposite of parametric statistics. It includes non-parametric statistical models, inference and statistical tests. "Distribution-Free" or "Non-parametric" Methods Preface [November, , by jh] The second Edition of Moore and McCabe, which I used until , did not have a section on these methods. The 3rd and 4th edition devote Chapter 14 to these. The chapter is not in the text per se, but rather in a document in pdf format in the CD that comes with the File Size: 67KB.

• Nonparametric or distribution-free statistical methods – Make very few assumptions about the form of the population distribution from which the data are sampled – Based on ranks so they can be used on ordinal data • Will concentrate on hypothesis tests but will also mention confidence interval procedures. nonparametric methods in statistics Download nonparametric methods in statistics or read online books in PDF, EPUB, Tuebl, and Mobi Format. Click Download or Read Online button to get nonparametric methods in statistics book now. This site is like a library, Use . Praise for the Second Edition “This book should be an essential part of the personal library of every practicing statistician.”—Technometrics Thoroughly revised and updated, the new edition of Nonparametric Statistical Methods includes additional modern topics and procedures, more practical data sets, and new problems from real-life situations.. The book continues to emphasize the. introduction to nonparametric regression Download introduction to nonparametric regression or read online books in PDF, EPUB, Tuebl, and Mobi Format. Click Download or Read Online button to get introduction to nonparametric regression book now. This site is like a library, Use search box in the widget to get ebook that you want.

Nonparametric: Distribution-Free, Not Assumption-Free. By Robert Cardone. 4 comments. Nonparametric or distribution-free methods have several advantages or benefits. They may be used on all types of data including nominal, ordinal, interval and ratio scaled. They make fewer and less stringent assumptions than their parametric counterparts. Applied Nonparametric Statistical Methods is an exception. Sprent and Smeeton have taken an accessible and well-regarded work and expanded, reorganized, and improved on it. Sprent and Smeeton offer a strong connection with respect to the how and why of the techniques. The book’s major strength is its prioritization of by:   It is for this reason that nonparametric methods are also referred to as distribution-free methods. Nonparametric methods are growing in popularity and influence for a number of reasons. The main reason is that we are not constrained as much as when we use a parametric method. Praise for the Second Edition “This book should be an essential part of the personal library of every practicing statistician.”—Technometrics Thoroughly revised and updated, the new edition of Nonparametric Statistical Methods includes additional modern topics and procedures, more practical data sets, and new problems from real-life situations. The book continues to emphasize the.