Large Sample Methods in Statistics (1994)
An Introduction with Applications
1st Edition
Published on 25. January 2019
Book
Paperback/Softback
394 pages
978-1-138-56081-9 (ISBN)
Description
This text bridges the gap between sound theoretcial developments and practical, fruitful methodology by providing solid justification for standard symptotic statistical methods. It contains a unified survey of standard large sample theory and provides access to more complex statistical models that arise in diverse practical applications.
More details
Series
Language
English
Place of publication
London
United Kingdom
Publishing group
Taylor & Francis Ltd
Target group
Professional and scholarly
Dimensions
Height: 234 mm
Width: 156 mm
Thickness: 21 mm
Weight
600 gr
ISBN-13
978-1-138-56081-9 (9781138560819)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions
Pranab K. Sen | Julio M. Singer
Large Sample Methods in Statistics (1994)
An Introduction with Applications
E-Book
11/2017
CRC Press
€350.99
Available for download
Pranab K. Sen | Julio M. Singer
Large Sample Methods in Statistics (1994)
An Introduction with Applications
E-Book
11/2017
CRC Press
€350.99
Available for download
Pranab K. Sen | Julio M. Singer
Large Sample Methods in Statistics (1994)
An Introduction with Applications
Book
09/2017
1st Edition
CRC Press
€917.30
Shipment within 10-20 days
Persons
Pranab Kumar Sen is a statistician, a professor of statistics and the Cary C. Boshamer Professor of Biostatistics at the University of North Carolina at Chapel Hill.
Content
1 Objectives and Scope: General Introduction 2 Stochastic Convergence 3 Weak Convergence and Central Limit Theorems 4 Large Sample Behavior of Empirical Distributions and Order Statistics 5 Asymptotic Behavior of Estimators and Test Statistics 6 Large Sample Theory for Categorical Data Models 7 Large Sample Theory for Regression Models 8 Invariance Principles in Large Sample Theory