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Introduction to probability and statistics / Vijay K. Rohatgi and A. K. Md. Ehsanes Saleh.

By: Contributor(s): Material type: TextTextSeries: Wiley series in probability and statisticsPublication details: Delhi : Wiley, 2014.Edition: 2nd edDescription: xv, 716 p. ; illISBN:
  • 9788126519262
Subject(s): DDC classification:
  • 519.2 23 R737
Contents:
1. Probability -- 2. Random variables and their probability distributions -- 3. Moments and generating functions -- 4. Multiple random variables -- 5. Some special distributions -- 6. Limit theorems -- 7. Sample moments and their distributions -- 8. Parametric point estimation -- 9. Neyman-Pearson theory of testing of hypotheses -- 10. Some further results of hypothesis testing -- 11. Confidence estimation -- 12. General linear hypothesis -- 13. Nonparametric statistical inference.
Summary: The second edition now has an updated statistical inference section (chapters 8 to 13). Many revisions have been made, the references have been updated, and many new problems and worked examples have been added. · Probability · Random Variables and Their Probability Distributions · Moments and Generating Functions · Multiple Random Variables · Some Special Distributions · Limit Theorems · Sample Moments and Their Distributions · Parametric Point Estimation · Neyman-Pearson Theory of Testing of Hypotheses · Some Further Results of Hypothesis Testing · Confidence Estimation · General Linear Hypothesis · Nonparametric Statistical Inference · References · Frequently Used Symbols and Abbreviations · Statistical Tables.
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Includes bibliographical references and index.

1. Probability --
2. Random variables and their probability distributions --
3. Moments and generating functions --
4. Multiple random variables --
5. Some special distributions --
6. Limit theorems --
7. Sample moments and their distributions --
8. Parametric point estimation --
9. Neyman-Pearson theory of testing of hypotheses --
10. Some further results of hypothesis testing --
11. Confidence estimation --
12. General linear hypothesis --
13. Nonparametric statistical inference.

The second edition now has an updated statistical inference section (chapters 8 to 13). Many revisions have been made, the references have been updated, and many new problems and worked examples have been added. · Probability · Random Variables and Their Probability Distributions · Moments and Generating Functions · Multiple Random Variables · Some Special Distributions · Limit Theorems · Sample Moments and Their Distributions · Parametric Point Estimation · Neyman-Pearson Theory of Testing of Hypotheses · Some Further Results of Hypothesis Testing · Confidence Estimation · General Linear Hypothesis · Nonparametric Statistical Inference · References · Frequently Used Symbols and Abbreviations · Statistical Tables.

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