Large Sample Methods in Statistics (1994): An Introduction with Applications / Edition 1

by Pranab K. Sen, Julio M. Singer

Overview

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.

Product Details

ISBN-13:	9781138560819
Publisher:	Taylor & Francis
Publication date:	01/25/2019
Series:	CRC Press Revivals
Pages:	394
Product dimensions:	6.12(w) x 9.19(h) x (d)

About the Author

Pranab K. Sen, Julio M. Singer

Table of Contents

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