An introduction to probability and statistical inference
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| Format: | eBook |
| Language: | English |
| Published: |
London, U.K.
Academic Press
2015, 2015
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| Edition: | Second edition |
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| Online Access: | |
| Collection: | Elsevier ScienceDirect eBooks - Collection details see MPG.ReNa |
Table of 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 models of analysis of variance
- Some topics in nonparametric inference