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...
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| Main Authors: | , |
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| Corporate Author: | |
| Format: | eBook |
| Language: | English |
| Published: |
Berlin, Heidelberg
Springer Berlin Heidelberg Imprint: Springer,
2015.
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| Series: | Springer Texts in Statistics,
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| Subjects: | |
| Online Access: | Click here to view the full text content |
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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.