Schaum's Outline of Probability and Statistics
by Spiegel, MurrayEdition: 2nd
Format: Paperback
Pub. Date: 2000-03-17
Publisher(s): McGraw-Hill
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Summary
Selling over 220,000 copies in its first edition, Schaum's Outline of Probability and Statistics has become a vital resource for the more than 977,000 college students who enroll in related probability and statistics courses each year. Its big-picture, calculus-based approach makes it an especially authoriatative reference for engineering and science majors. Now thoroughly update, this second edition includes vital new coverage of order statistics, best critical regions, likelihood ratio tests, and other key topics.
Author Biography
John J. Schiller, is an Associate Professor of Mathematics at Temple University. He received his Ph.D. at the University of Pennsylvania and has published research papers in the areas of Riemann surfaces, discrete mathematics biology. He has also coauthored texts in finite mathematics, precalculus, and calculus.
Alu Srinivasan is Professor of Mathematics at Temple University. He received an M.S. in statistics and a Ph.D. in Mathematics from Wayne State University, and was Chair of Temple's Mathematics Department from 1990 to 1998. His primary research interests are in applied and mathematical statistics, combinatorics and probability. He has published some seventy papers in these areas and has supervised a dozen Ph.D. dissertations in statistical inference and biostatistics.
Table of Contents
Part I: Probability. Chapter 1: Basic Probability. Chapter 2: Random Variables and Probability Distributions. Chapter 3: Mathematical Expectation. Chapter 4: Special Probability Distributions. Part II: Statistics. Chapter 5: Sampling Theory. Chapter 6: Estimation Theory. Chapter 7: Tests of Hypotheses and Significance. Chapter 8: Curve Fitting, Regression, and Correlation. Chapter 9: Analysis of Variance. Chapter 10: Nonparametric Tests. Appendices. Index. Index for Solved Problems.
Chapter 2: Random Variables and Probability Distributions. Chapter 3: Mathematical Expectation. Chapter 4: Special Probability Distributions. Part II: Statistics. Chapter 5: Sampling Theory. Chapter 6: Estimation Theory. Chapter 7: Tests of Hypotheses and Significance. Chapter 8: Curve Fitting, Regression, and Correlation. Chapter 9: Analysis of Variance. Chapter 10: Nonparametric Tests. Appendices. Index. Index for Solved Problems.
Chapter 4: Special Probability Distributions. Part II: Statistics. Chapter 5: Sampling Theory. Chapter 6: Estimation Theory. Chapter 7: Tests of Hypotheses and Significance. Chapter 8: Curve Fitting, Regression, and Correlation. Chapter 9: Analysis of Variance. Chapter 10: Nonparametric Tests. Appendices. Index. Index for Solved Problems.
Chapter 5: Sampling Theory. Chapter 6: Estimation Theory. Chapter 7: Tests of Hypotheses and Significance. Chapter 8: Curve Fitting, Regression, and Correlation. Chapter 9: Analysis of Variance. Chapter 10: Nonparametric Tests. Appendices. Index. Index for Solved Problems.
Chapter 7: Tests of Hypotheses and Significance. Chapter 8: Curve Fitting, Regression, and Correlation. Chapter 9: Analysis of Variance. Chapter 10: Nonparametric Tests. Appendices. Index. Index for Solved Problems.
Chapter 9: Analysis of Variance. Chapter 10: Nonparametric Tests. Appendices. Index. Index for Solved Problems.
Appendices. Index. Index for Solved Problems.
Index for Solved Problems.
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