A Course in Large Sample Theory
โ Thomas S. Ferguson (auth.)
๐ Library
๐
1996
๐ Springer US
๐ English
โฆ LIBER โฆ
๐
A Course in Large Sample Theory
โ Scribed by Thomas S. Ferguson
- Publisher
- Chapman and Hall/CRC
- Year
- 1996
- Tongue
- English
- Leaves
- 253
- Series
- Chapman & Hall/CRC Texts in Statistical Science
- Edition
- 1
- Category
- Library
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โฆ Synopsis
A Course in Large Sample Theory is presented in four parts. The first treats basic probabilistic notions, the second features the basic statistical tools for expanding the theory, the third contains special topics as applications of the general theory, and the fourth covers more standard statistical topics. Nearly all topics are covered in their multivariate setting. The book is intended as a first year graduate course in large sample theory for statisticians. It has been used by graduate students in statistics, biostatistics, mathematics, and related fields. Throughout the book there are many examples and exercises with solutions. It is an ideal text for self study.
๐ SIMILAR VOLUMES
A course in large sample theory
โ Ferguson, Thomas Shelburne
๐ Library
๐
2002
๐ CRC Press
๐ English
A Course in Large Sample Theory is presented in four parts. The first treats basic probabilistic notions, the second features the basic statistical tools for expanding the theory, the third contains special topics as applications of the general theory, and the fourth covers more standard statistical
A course in large sample theory
โ Thomas S. Ferguson
๐ Library
๐
1996
๐ Chapman and Hall/CRC
๐ English
A Course in Mathematical Statistics and
โ Bhattacharya, Rabindra Nath; Lin, Lizhen; Patrangenaru, Victor
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2016
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<div>This graduate-level textbook is primarily aimed at graduate students of statistics, mathematics, science, and engineering who have had an undergraduate course in statistics, an upper division course in analysis, and some acquaintance with measure theoretic probability. It provides a rigorous pr
A Course in Mathematical Statistics and
โ Rabi Bhattacharya, Lizhen Lin, Victor Patrangenaru (auth.)
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2016
๐ Springer-Verlag New York
๐ English
<p>This graduate-level textbook is primarily aimed at graduate students of statistics, mathematics, science, and engineering who have had an undergraduate course in statistics, an upper division course in analysis, and some acquaintance with measure theoretic probability. It provides a rigorous pres
A Course in Large Sample Theory: Texts i
โ Thomas S. Ferguson
๐ Library
๐
1996
๐ English
A Course in Large Sample Theory is presented in four parts. The first treats basic probabilistic notions, the second features the basic statistical tools for expanding the theory, the third contains special topics as applications of the general theory, and the fourth covers more standard statistica