A Course in Large Sample Theory
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Published By Routledge

9781315136288
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Functions of the Sample Moments

2017 ◽  
pp. 44-50
Author(s):  
Thomas S. Ferguson

5 Central Limit Theorems

2017 ◽  
pp. 26-35
Author(s):  
Thomas S. Ferguson
Keyword(s):  
Central Limit ◽  
Limit Theorems ◽  
Central Limit Theorems

A Uniform Strong Law of Large Numbers

2017 ◽  
pp. 107-111
Author(s):  
Thomas S. Ferguson
Keyword(s):  
Law Of Large Numbers ◽  
Strong Law ◽  
Large Numbers

Asymptotic Power of the Pearson Chi-Square Test

2017 ◽  
pp. 61-66
Author(s):  
Thomas S. Ferguson
Keyword(s):  
Asymptotic Power ◽  
Chi Square ◽  
Chi Square Test

Slutsky Theorems

2017 ◽  
pp. 39-43
Author(s):  
Thomas S. Ferguson

Convergence in Law

2017 ◽  
pp. 13-18
Author(s):  
Thomas S. Ferguson
Keyword(s):  
Convergence In Law

Minimum Chi-Square Estimates

2017 ◽  
pp. 151-162
Author(s):  
Thomas S. Ferguson
Keyword(s):  
Chi Square

Asymptotic Normality of Posterior Distributions

2017 ◽  
pp. 140-143
Author(s):  
Thomas S. Ferguson
Keyword(s):  
Asymptotic Normality ◽  
Posterior Distributions

Strong Consistency of Maximum-Likelihood Estimates

2017 ◽  
pp. 112-118
Author(s):  
Thomas S. Ferguson
Keyword(s):  
Maximum Likelihood ◽  
Strong Consistency ◽  
Maximum Likelihood Estimates

Asymptotic Joint Distributions of Extrema

2017 ◽  
pp. 101-104 ◽  
Author(s):  
Thomas S. Ferguson
Keyword(s):  
Joint Distributions
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