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Basics of modern mathematical statistics

By: Contributor(s): Material type: TextTextSeries: Springer texts in StatisticsPublication details: New York Springer 2015Description: xviii, 296 pISBN:
  • 9783642399084
Subject(s): DDC classification:
  • 519.5 S7B2
Summary: 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 study or even independent research in statistics. The majority of existing textbooks in mathematical statistics follow the classical asymptotic framework. Yet, as modern statistics has changed rapidly in recent years, new methods and approaches have appeared. The emphasis is on finite sample behavior, large parameter dimensions, and model misspecifications. The present book provides a fully self-contained introduction to the world of modern mathematical statistics, collecting the basic knowledge, concepts and findings needed for doing further research in the modern theoretical and applied statistics. This textbook is primarily intended for graduate and postdoc students and young researchers who are interested in modern statistical methods. (http://www.springer.com/in/book/9783642399084)
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Item type Current library Item location Collection Shelving location Call number Status Date due Barcode
Books Vikram Sarabhai Library Rack 28-B / Slot 1416 (0 Floor, East Wing) Non-fiction General Stacks 519.5 S7B2 (Browse shelf(Opens below)) Available 190745

Table of Contents:

1. Basic Notions
2. Parameter Estimation for an i.i.d. Model
3. Regression Estimation
4. Estimation in Linear Models
5. Bayes Estimation
6. Testing a Statistical Hypothesis
7. Testing in Linear Models
8. Some Other Testing Methods

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 study or even independent research in statistics. The majority of existing textbooks in mathematical statistics follow the classical asymptotic framework. Yet, as modern statistics has changed rapidly in recent years, new methods and approaches have appeared. The emphasis is on finite sample behavior, large parameter dimensions, and model misspecifications. The present book provides a fully self-contained introduction to the world of modern mathematical statistics, collecting the basic knowledge, concepts and findings needed for doing further research in the modern theoretical and applied statistics. This textbook is primarily intended for graduate and postdoc students and young researchers who are interested in modern statistical methods.


(http://www.springer.com/in/book/9783642399084)

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