Beschreibung
The Wiley Classics Library consists of selected books that have become recognized classics in their respective fields. With these new unabridged and inexpensive editions, Wiley hopes to extend the life of these important works by making them available to future generations of mathematicians and scientists.
Currently available in the Series:
T. W. Anderson
The Statistical Analysis of Time SeriesT. S. Arthanari& Yadolah Dodge
Mathematical Programming in StatisticsEmil Artin
Geometric AlgebraNorman T. J. Bailey
The Elements of Stochastic Processeswith Applications to the Natural SciencesRobert G. Bartle
The Elements of Integration and Lebesgue MeasureGeorge E. P. Box& Norman R. Draper
Evolutionary Operation: A Statistical Method for Process ImprovementGeorge E. P. Box& George C. Tiao
Bayesian Inference in Statistical AnalysisR. W. Carter
Finite Groups of Lie Type: Conjugacy Classes and Complex CharactersR. W. Carter
Simple Groups of Lie TypeWilliam G. Cochran& Gertrude M. Cox
Experimental Designs, Second EditionRichard Courant
Differential and Integral Calculus, Volume IRichard Courant
Differential and Integral Calculus, Volume IIRichard Courant& D. Hilbert
Methods of Mathematical Physics, Volume IRichard Courant& D. Hilbert
Methods of Mathematical Physics, Volume IID. R. Cox
Planning of ExperimentsHarold S. M. Coxeter
Introduction to Geometry, Second EditionCharles W. Curtis& Irving Reiner
Representation Theory of Finite Groups andAssociative AlgebrasCharles W. Curtis& Irving Reiner
Methods of Representation Theory with Applications to Finite Groups and Orders, Volume ICharles W. Curtis& Irving Reiner
Methods of Representation Theory with Applications to Finite Groups and Orders, Volume IICuthbert Daniel& Fred S. Wood
Fitting Equations to Data: Computer Analysis of Multifactor Data, Second EditionBruno de Finetti
Theory of Probability, Volume IBruno de Finetti
Theory of Probability, Volume IIMorris H. DeGroot
Optimal Statistical DecisionsW. Edwards Deming
Sample Design in Business ResearchAmos de Shalit& Herman Feshbach
Theoretical Nuclear Physics, Volume 1Nuclear StructureHarold F. Dodge& Harry G. Romig
Sampling Inspection Tables: Single and Double SamplingJ. L. Doob
Stochastic Processes Autorenportrait
BYRON WILLIAM BROWN JR., PhD, was a professor in and former chair of the Department of Health Policy and Research at Stanford University. For over 30 years, he made significant contributions to the university's research and teachings on various areas of study such as cancer treatment and the design of clinical trials. Dr. Brown is now deceased.
MYLES HOLLANDER, PhD, is Robert O. Lawton Distinguished Professor of Statistics at Florida State University in Tallahassee. He served as editor of the Theory and Methods Section of the Journal of the American Statistical Association from 1993-96.
Inhalt
CHAPTER 1: Introduction 1
CHAPTER 2: Elementary Rules of Probability 13
CHAPTER 3: Populations, Samples, and the Distribution of the Sample Mean 37
1. Populations and Distributions 38
2. Sampling from Finite Populations 64
3. The Distribution of the Sample Mean 72
CHAPTER 4: Analysis of Matched Pairs Using Sample Means 85
1. A Confidence Interval for the Treatment Effect 86
2. A Hypothesis Test for the Treatment Effect 96
3. Determining the Sample Size 102
CHAPTER 5: Analysis of the Two-Sample Location Problem Using Sample Means 109
1. A Confidence Interval for the Difference Between the Population Means 110
2. A Hypothesis Test for the Difference Between the Population Means 116
3. Determining Sample Sizes 119
4. Testing the Assumption of Equal Population Variances 122
CHAPTER 6: Surveys and Experiments in Medical Research 131
Application of Statistics in Laboratory and Clinical Studies 131
Randomized Clinical Experiments 134
Ethics and Statistical Aspects of the Clinical Trial 137
Retrospective Studies, Prospective Studies, and Randomized Clinical Experiments 140
CHAPTER 7: Statistical Inference for Dichotomous Variables 149
A Confidence Interval for a Success Probability p 150
Hypothesis Tests for a Success Probability p 156
CHAPTER 8: Comparing Two Success Probabilities 173
A Confidence Interval for the Difference Between the Success Probabilities 174
A Hypothesis Test for the Difference Between the Success probabilities 178
CHAPTER 9: Chi-Squared Tests 195
The Chi-Squared Test for k Probabilities (Goodness of Fit) 196
r x k Tables: Chi-Squared Tests of Homogeneity and Independence 201
A Test for Trend in Proportions 211
CHAPTER 10: Analysis of& Sample Problems 225
The Completely Randomized Experiment 226
The Randomized Blocks Experiment 241
CHAPTER 11: Linear Regression and Correlation 261
1. Linear Regression 262
2. Correlation 281
3. Rank Correlation 292
CHAPTER 12: Analysis of Matched Pairs Using Ranks 309
1. The Wilcoxon Signed Rank Test 310
2. A Nonparametric Confidence Interval Based on the Signed Rank Test 317
CHAPTER 13: Analysis of the Two-Sample Location Problem Using Ranks 327
1. The Wilcoxon Two-Sample Rank Sum Test 328
2. A Nonparametric Confidence Interval Based on the Rank Sum Test 333
CHAPTER 14: Methods for Censored Data 341
APPENDIX A: Glossary 361
APPENDIX B: Answers to Selected Questions and Solutions to Selected Problems 375
APPENDIX C: Mathematical and Statistical Tables 407
INDEX 451
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