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Probability and Mathematical Statistics : an Introduction.
Probability and Mathematical Statistics.
| Clasificación: | Libro Electrónico |
|---|---|
| Autor principal: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Burlington :
Elsevier Science,
2014.
|
| Temas: | |
| Acceso en línea: | Texto completo |
MARC
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| 003 | OCoLC | ||
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| 100 | 1 | |a Lukacs, Eugene. | |
| 245 | 1 | 0 | |a Probability and Mathematical Statistics : |b an Introduction. |
| 260 | |a Burlington : |b Elsevier Science, |c 2014. | ||
| 300 | |a 1 online resource (255 pages) | ||
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| 505 | 0 | |a Front Cover; Probability and Mathematical Statistics: An Introduction; Copyright Page; Table of Contents; Preface; Introduction; References; PART I: PROBABILITY THEORY; Chapter 1. The Probability Space; 1.1 The Outcome Space; 1.2 Probabilities; 1.3 The Axioms; 1.4 Problems; References; Chapter 2. Elementary Properties of Probability Spaces; 2.1 Simple Consequences of the Axioms; 2.2 Conditional Probability and Independence; 2.3 Finite Probability Spaces; 2.4 Problems; Chapter 3. Random Variables and Their Probability Distributions; 3.1 Random Variables; 3.2 Distribution Functions. | |
| 505 | 8 | |a 3.3 Examples of Discrete Distributions3.4 Examples of Absolutely Continuous Distributions; 3.5 Multivariate Distributions; 3.6 Problems; References; Chapter 4. Typical Values; 4.1 The Mathematical Expectation of a Random Variable; 4.2 Expectations of Functions of Random Variables; 4.3 Properties of Expectations; 4.4 Moments; 4.5 Regression; 4.6 Problems; Reference; Chapter 5. Limit Theorems; 5.1 Laws of Large Numbers; 5.2 The Central Limit Theorem; 5.3 The Poisson Approximation to the Binomial; 5.4 Problems; References; Chapter 6. Some Important Distributions. | |
| 505 | 8 | |a 6.1 The Distribution of the Sum of Independent, Absolutely Continuous Random Variables6.2 Addition of Independent Normal Random Variables; 6.3 The Chi-Square Distribution; 6.3 The Chi-Square Distribution; 6.5 Problems; PART II: MATHEMATICAL STATISTICS; Chapter 7. Sampling; 7.1 Statistical Data; 7.2 Sample Characteristics; 7.3 Moments and Distributions of Sample Characteristics; 7.4 Problems; References; Chapter 8. Estimation; 8.1 Properties of Estimates; 8.2 Point Estimation; 8.3 Interval Estimation; 8.4 Problems; References; Chapter 9. Testing Hypotheses; 9.1 Statistical Hypotheses. | |
| 505 | 8 | |a 9.2 The Power of a Test9.3 The /-Test; 9.4 Nonparametric Methods; 9.5 Problems; References; Appendix A. Some Combinatorial Formulas; Appendix B. The Gamma Function; Appendix C. Proof of the Central Limit Theorem; Appendix D. Tables; Answers to Selected Problems; Index. | |
| 520 | |a Probability and Mathematical Statistics. | ||
| 590 | |a ProQuest Ebook Central |b Ebook Central Academic Complete | ||
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| 650 | 0 | |a Mathematical statistics. | |
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| 650 | 7 | |a Probabilities |2 fast | |
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| 776 | 0 | 8 | |i Print version: |a Lukacs, Eugene. |t Probability and Mathematical Statistics : An Introduction. |d Burlington : Elsevier Science, ©2014 |z 9780124598508 |
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