Basics of Modern Mathematical Statistics
This textbook provides a unified and self-contained presentation of the main approaches to and ideas of mathematical statistics. It collects the basic mathematical ideas and tools needed as a basis for more serious studies or even independent research in statistics. The majority of existing textbook...
| Main Authors: | , |
|---|---|
| Corporate Author: | |
| Format: | Electronic eBook |
| Language: | English |
| Published: |
Berlin, Heidelberg :
Springer Berlin Heidelberg : Imprint: Springer,
2015.
|
| Series: | Springer Texts in Statistics,
|
| Subjects: | |
| Online Access: | Full Text via HEAL-Link |
Table of Contents:
- Basic notions
- Parameter Estimation for an i.i.d. Model
- Regression Estimation
- Estimation in Linear Models
- Bayes Estimation
- Testing a Statistical Hypothesis
- Testing in Linear Models
- Some other Testing Methods
- Deviation Probability for Quadratic Forms.
