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nonparametric statistics for non-statisticians [pdf] corder foreman

# Nonparametric Statistics for Non Statisticians A Step by Step Approach, Gregory Corder and Dale Foreman

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Nonparametric Statistics for Non Statisticians written by Gregory Corder and Dale Foreman
This main purpose of this volume is to provide an overview of the key ideas that have shaped RSM, and to bring attention to recent research directions and developments in RSM, which can have many useful applications in a variety of fields. The volume will be very helpful to researchers as well as practitioners interested in RSM's theory and potential applications. It will be particularly useful to individuals who have used RSM methods in the past, but have not kept up with its recent developments, both in theory and applications.
Response surface methodology (RSM) began with the work of Box and Wilson (1951) in the Journal of the Royal Statistical Society, Series B. That work was motivated by the need to run experiments efficiently, by a proper choice of design, and to determine operating conditions on a set of controllable variables that give rise to an optimal response. The key ideas in the so-called classical RSM were developed using linear polynomial models, mainly first-degree and second-degree models, with continuous response variables assumed, for the most part, to be independently and normally distributed with constant error variances. Since the 1970's, RSM has gone through several stages of development that were aimed at making it more applicable to wider experimental situations under less stringent assumptions. The purpose of this volume is to provide an exposition of a variety of topics covering a wide range of methods and techniques used in RSM, including the more recent advances made in the field.

Book Detail :-
Title: Nonparametric Statistics for Non Statisticians A Step by Step Approach
Edition:
Author(s): Gregory W. Corder, Dale Ale I. Foreman
Publisher:
Series:
Year: 1972
Pages: 264
Type: PDF
Language: English
ISBN: 9780470454619
Country: US
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The author Andre I. Khuri is a PHD and Professor Emeritus of Statistics at the University of Florida. He is the author of Advanced Calculus with Applications in Statistics, Second Edition and co-author of Statistical Tests for Mixed Linear Models, all published by Wiley. Dr. Khuri is a member of numerous academic associations, among them the American Statistical Association and the Institute of Mathematical Statistics.

All Famous Books of this Author :-
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• Download PDF Matrix Algebra Useful for Statistics, 2E by Shayle R. Searle, Andre I. Khuri
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Book Contents :- Nonparametric Statistics for Non Statisticians written by Gregory Corder and Dale Foreman cover the following topics. '
1. Nonparametric Statistics: An Introduction
2. Testing Data for Normality
3. Comparing Two Related Samples: The Wilcoxon Signed Ranks Test
4. Comparing Two Unrelated Samples: The Mann-Whitney U-Test
5. Comparing More Than Two Related Samples: The Friedman Test
6. Comparing More than Two Unrelated Samples:
7. Comparing Variables of Ordinal or Dichotomous Scales: Spearman Rank-Order, Point-Biserial, and Biserial Correlations
8. Tests for Nominal Scale Data: Chi-Square and Fisher Exact Test
9. Test For Randomness: The Runs Test
Appendix A: SPSS at a Glance
A.l Introduction
A.2 Opening SPSS
A.3 Inputting Data
A.4 Analyzing Data
A.5 The SPSS Output
Appendix B: Tables of Critical Values
Table B.l: The Normal Distribution
Table B.2: The Chi-Square Distribution
Table B.3: Critical Values for the Wilcoxon Signed Ranks Test Statistics, T
Table B.4: Critical Values for the Mann-Whitney {/-Test Statistic
Table B.5: Critical Values for the Friedman Test Statistic, FT
Table B.6: The Critical Values for the Kruskal-Wallis //-Test Statistic
Table B.7: Critical Values for the Spearman Rank-Order Correlation Coefficient, rs
Table B.8: Critical Values for the Pearson Product-Moment Correlation Coefficient, r
Table B.9: Factorials
Table B.10: Critical Values for the Runs Test for Randomness
Bibliography
Index

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