| Edition |
Second edition. |
| Description |
1 online resource (xiv, 606 pages) : illustrations |
|
text txt rdacontent |
|
computer c rdamedia |
|
online resource cr rdacarrier |
| Contents |
Some motivating examples and some fundamental concepts -- The concept of probability and some basic results -- Numerical characteristics of a random variable, some special random variables -- Joint and conditional P.D.F.'s, conditional expectation and variance, moment generating function, covariance and correlation coefficient -- Independence of random variables and some applications -- Transformation of random variables -- Some modes of convergence of random variables, applications -- An overview of statistical inference -- Point estimation -- Confidence intervals and confidence regions -- Testing hypotheses -- More about testing hypotheses -- A simple linear regression model -- Two analysis of variance models -- Some topics in nonparametric inference. |
| Note |
Description based on print version record. |
| Subject |
Probabilities -- Textbooks.
|
|
Mathematical statistics.
|
| Genre/Form |
Electronic books.
|
| Other Form: |
Print version: Roussas, George G. Introduction to probability and statistical inference. Second edition. Amsterdam : Elsevier, c2015 xiv, 606 pages 9780128001141 (DLC) 2014025745 |
| ISBN |
9780128001141 |
|
9780128004371 (electronic bk.) |
|
