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Schaum's Outline of Probability and Statistics
ISBN: 9780071350044 | 0071350047
Edition: 2ndFormat: Paperback
Publisher: McGraw-Hill
Pub. Date: 3/17/2000
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Schaum's Outline of Probability and Statistics, 2/e is an introduction to calculus-based statistics and probability, covering all the topics in statistics and probability courses directed to mathematics, natural-science, and engineering students. Probability theory supplies a methodology through which statistics can be used to draw conclusions on the basis of analysis of data like sampling theory, and prediction or forecasting. Since the text is calculus-based, it is above the level of elementary probability and statistics courses taken by a ge... MORE
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.
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.
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