Sample Size Choice

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A01=Martin Fox
A01=Robert E. Odeh
ANOVA Table
Author_Martin Fox
Author_Robert E. Odeh
Auxiliary Functions
Category=PBT
Continued Fraction
Continued Fraction Expansion
Cumulative Distribution Function
eq_isMigrated=1
eq_isMigrated=2
eq_nobargain
Error Search
experimental design methods
FORTRAN Program
General Linear Hypothesis
Higher Order Analysis
Hypothesis Testing Problem
hypothesis testing strategies
If F2
Independent
Latin Squares
Latin Squares Designs
linear model experiment sample size
MSE
MSH
Neyman Pearson Theory
Noncentral X2
Noncentrality Parameter
Percentage Points
quantitative research statistics
Randomized Block Experiments
regression analysis techniques
Sample Size Choice
Sample Size Computations
SHI
SSE
statistical power analysis
variance estimation

Product details

  • ISBN 9780367402921
  • Weight: 453g
  • Dimensions: 156 x 234mm
  • Publication Date: 23 Oct 2019
  • Publisher: Taylor & Francis Ltd
  • Publication City/Country: GB
  • Product Form: Paperback
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A guide to testing statistical hypotheses for readers familiar with the Neyman-Pearson theory of hypothesis testing including the notion of power, the general linear hypothesis (multiple regression) problem, and the special case of analysis of variance. The second edition (date of first not mentione
Robert E. Odeh is Professor of Statistics at the University of Victoria, British Columbia, Canada. He is the coauthor (with Donald B. Owen, Z. W. Birnbaum, and Lloyd Fisher) of Pocketbook of Statistical Tables and (with Donald B. Owen) of Tables for Normal Tolerance Limits, Sampling Plans, and Screening; Attribute Sampling Plans, Tables of Tests and Confidence Limits for Proportions; and Parts per Million Values for Estimating Quality Levels (all titles, Marcel Dekker, Inc.). An editorial board member of Communications in Statistics: Theory and Methods (Marcel Dekker, Inc.) and coeditor of Selected Tables in Mathematical Statistics, he is a Fellow of the Royal Statistical Society, American Statistical Association, and Institute of Mathematical Statistics, and a member of the Statistical Society of Canada and International Statistical Institute . Dr. Odeh received the Ph.D. degree (1962) in mathematics from the Carnegie Institute of Technology (now Carnegie-Mellon University) in Pittsburgh, Pennsylvania. Martin Fox is Professor of Statistics at Michigan State University, East Lansing. The author or coauthor of over 15 journal articles, he is a Fellow of the Institute of Mathematical Statistics, and a member of the American Mathematical Society, Mathematical Association of America, and American Statistical Association, among others. Dr. Fox received the AB. degree (1951) in mathematics and  Ph.D. degree (1959) in statistics from the University of California, Berkeley.

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