Large Sample Techniques for Statistics

• Main Author: Jiang, Jiming (Author)
• Corporate Author: SpringerLink (Online service)
• Format: Electronic eBook
• Language: English
• Published: New York, NY : Springer New York, 2010.
• Edition: 1.
• Series: Springer Texts in Statistics,
• Subjects: Mathematics.; Probabilities.; Statistics.; Probability Theory and Stochastic Processes.; Statistical Theory and Methods.

This book offers a comprehensive guide to large sample techniques in statistics. More importantly, it focuses on thinking skills rather than just what formulae to use; it provides motivations, and intuition, rather than detailed proofs; it begins with very simple techniques, and connects theory and...

Table of Contents:

• The ?-? Arguments
• Modes of Convergence
• Big O, Small o, and the Unspecified c
• Asymptotic Expansions
• Inequalities
• Sums of Independent Random Variables
• Empirical Processes
• Martingales
• Time and Spatial Series
• Stochastic Processes
• Nonparametric Statistics
• Mixed Effects Models
• Small-Area Estimation
• Jackknife and Bootstrap
• Markov-Chain Monte Carlo.