Introduction to probability and statistical inference / George Roussas.
Material type:![Text](/opac-tmpl/lib/famfamfam/BK.png)
- text
- computer
- online resource
- 9780080495750
- 0080495753
- 1281012203
- 9781281012203
- 9786611012205
- 6611012206
- 519.2 22
- QA273 .R865 2003eb
Item type | Home library | Collection | Call number | Materials specified | Status | Date due | Barcode | |
---|---|---|---|---|---|---|---|---|
![]() |
OPJGU Sonepat- Campus | E-Books EBSCO | Available |
Includes index.
Print version record.
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
""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
English.
eBooks on EBSCOhost EBSCO eBook Subscription Academic Collection - Worldwide
There are no comments on this title.