Introduction to probability and statistical inference /
""The text is wonderfully written and has the mostcomprehensive range of exercise problems that I have ever seen.""--Tapas K. Das, University of South Florida""The exposition is great; a
| Kaituhi matua: | |
|---|---|
| Hōputu: | Licensed eBooks |
| Reo: | Ingarihi |
| I whakaputaina: |
Amsterdam ; Boston :
Academic Press,
©2003.
|
| Urunga tuihono: | https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=195530 |
Rārangi ihirangi:
- Chapter 1 Some Motivating Examples and Some; Fundamental Concepts; Chapter 2 The Concept of Probability and Some Basic Results; Chapter 3 Numerical Characteristics of a Random Variable, Some Special Random Variables; Chapter 4 Joint and Conditionalp.d.f:s, Conditional Expectation and Variance, Moment Generating Function, Covariance and Correlation Coefficient; Chapter 5 Independence of Random Variables and Some Applications; Chapter 6 Transformation of Random Variables; Chapter 7 Some Modes of Convergence of Random Variables, Applications; Chapter 8 An Overview of Statistical Inference; Chapter 9 Point Estimation; Chapter 10 Confidence Intervals and Confidence Regions; Chapter 11 Testing Hypotheses; Chapter 12 More About Testing Hypotheses; Chapter 13 A Simple Linear Regression Model; Chapter 14 Two Analysis of Variance Models; Chapter 15 Some Topics in Nonparametric Inference