Introduction to Probability /
Material type:
TextPublication details: Elsevier, 2013ISBN: 9780128000410Online resources: Click here to access online | Item type | Current library | Call number | Status | Date due | Barcode | Item holds |
|---|---|---|---|---|---|---|
e-Books
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Central Library, Sikkim University | Not for loan | E-452 |
Chapter 1 - Some Motivating Examples
Pages 1-5
Chapter 2 - Some Fundamental Concepts
Pages 7-30
Chapter 3 - The Concept of Probability and Basic Results
Pages 31-53
Chapter 4 - Conditional Probability and Independence
Pages 55-78
Chapter 5 - Numerical Characteristics of a Random Variable
Pages 79-97
Chapter 6 - Some Special Distributions
Pages 99-136
Chapter 7 - Joint Probability Density Function of Two Random Variables and Related Quantities
Pages 137-161
Chapter 8 - Joint Moment-Generating Function, Covariance, and Correlation Coefficient of Two Random Variables
Pages 163-177
Chapter 9 - Some Generalizations to k Random Variables, and Three Multivariate Distributions
Pages 179-199
Chapter 10 - Independence of Random Variables and Some Applications
Pages 201-223
Chapter 11 - Transformation of Random Variables
Pages 225-264
Chapter 12 - Two Modes of Convergence, the Weak Law of Large Numbers, the Central Limit Theorem, and Further Results
Pages 265-291
Chapter 13 - An Overview of Statistical Inference
Pages 293-305
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