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eBook Distribution-Free Tests ePub

by Henry R. Neave

eBook Distribution-Free Tests ePub
Author: Henry R. Neave
Language: English
ISBN: 0415084180
ISBN13: 978-0415084185
Publisher: Routledge; New edition edition (March 1, 1989)
Pages: 448
Category: Mathematics
Subcategory: Science
Rating: 4.9
Votes: 319
Formats: docx lit mbr txt
ePub file: 1868 kb
Fb2 file: 1438 kb

Distribution-Free Tests book.

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Distribution Free Tests. by Peter L. Worthington and Henry R. Neave. A text, aimed at students, on the application of statistics in behavioural sciences, attempting to explain some important advances made in non-parametric methods since the mid-1950s. Chapters deal with specific topics with two tests presented for each - one sophisticated, the other simple.

Distribution free tests of independence based on the sample distribution function, by J. R. Blum, J. Kiefer, and . osenblatt by Blum, J. and a great selection of related . Distribution-Free Tests. Neave, Henry R. Published by Routledge (1989).

Distribution-Free Tests. ISBN 10: 0415084180 ISBN 13: 9780415084185.

For three decades, Henry Neave’s Statistics Tables has been the gold standard for all students taking an introductory statistical methods course as part of their wider degree in a host of disciplines including mathematics, economics, business and management, geography an. .

For three decades, Henry Neave’s Statistics Tables has been the gold standard for all students taking an introductory statistical methods course as part of their wider degree in a host of disciplines including mathematics, economics, business and management, geography and psychology. The period has seen a large increase in the level of mathematics and statistics required to achieve these qualifications and Statistics Tables has helped several generations of students meet their goals. Allan G. Prys-Williams, Henry R. Neave, Philip L. Worthington. The binomial distribution: individual probabilities The bionomia distribution: cumulative probabilities Charts giving confidence intervals for p and critical values for the sample fractio. More).

Henry Robert Neave, British mathematician, statistician, management educator Distribution-Free Tests

Henry Robert Neave, British mathematician, statistician, management educator. Museum director Beeston Operatic Society, Nottingham, 1976-1983, West Bridgford Operatic Society, Nottingham, 1983-1985. This book, designed for students taking a basic introductory course in statistical analysis, is far more than just a book of tables. Each table is accompanied by a careful but concise explanation and useful worked examples. This text, aimed at undergraduate and postgraduate students, looks at a selection of distribution-free methods and tests. London, England: Routledge & Kegan Paul Ltd; 1988. Campbell MJ, Gardner MJ. BMJ. 1997;315:1533-1537. Farmer R, Miller D. Lecture Notes on Epidemiology and Public Health Medicine. Oxford, England: Blackwell Scientific Publications Ltd; 1991. Langhorne P, Wagenaar R, Partridge C. Physiotherapy after stroke: more is better? Physiother Res Int. 1996;1:75-88.

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Mobile version (beta). If you did not find the book or it was closed, try to find it on the site: GO. Exact matches. Elementary Statistics Tables (Open University Text).

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Henry R. Neave spent the first half of his career as lecturer in the Mathematics Department of the University of Nottingham. During the second half of his career he became increasingly involved with statistical contributions to the field of quality improvement

This text, aimed at undergraduate and postgraduate students, looks at a selection of distribution-free methods and tests. The authors have attempted to explain the techniques carefully and to give numerical examples for each. Each chapter deals with a specific topic. For most of these topics two tests are presented: a relatively sophisticated one with power properties, and a simple one where ease of execution is the main priority. Apart from the chi-squared and sign tests which date from the beginning of the century, the origins of the techniques lie within the period from the late 1930s to the present day. The tests have been chosen on the basis of usefulness and ease of application. Also covered are some of the important advances which have been made since the mid-1950s. Introductory chapters examine the necessary statistical background and general ideas about hypotheses-testing. The book may be of interest not only to statistics students but also those who use statistical techniques covering a wider span.
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