Hájek–Le Cam convolution theorem

Results: 26



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1Some notes on efficient computing and setting up high performance computing environments Andrew O. Finley Department of Forestry, Michigan State University, Lansing, Michigan.  February 4, 2015

Some notes on efficient computing and setting up high performance computing environments Andrew O. Finley Department of Forestry, Michigan State University, Lansing, Michigan. February 4, 2015

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Source URL: blue.for.msu.edu

Language: English - Date: 2015-02-04 12:22:50
2A geometric characterization of c-optimal designs for heteroscedastic regression Holger Dette Tim Holland-Letz

A geometric characterization of c-optimal designs for heteroscedastic regression Holger Dette Tim Holland-Letz

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Source URL: www.statistik.tu-dortmund.de

Language: English - Date: 2009-01-12 11:08:18
3

PDF Document

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Source URL: www.stat.washington.edu

Language: English - Date: 2014-02-23 20:18:30
4Hypothesis testing when a nuisance parameter is present only under the alternative - linear model case

Hypothesis testing when a nuisance parameter is present only under the alternative - linear model case

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Source URL: www.robertnz.net

Language: English - Date: 2010-02-24 03:24:45
5c 2008 International Press COMMUNICATIONS IN INFORMATION AND SYSTEMS Vol. 8, No. 3, pp, 2008

c 2008 International Press COMMUNICATIONS IN INFORMATION AND SYSTEMS Vol. 8, No. 3, pp, 2008

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Source URL: www.ims.cuhk.edu.hk

Language: English - Date: 2009-02-19 09:29:58
61  Chapter 3 Lower Bounds for Estimation 1. Introduction and Examples 2. Cram´

1 Chapter 3 Lower Bounds for Estimation 1. Introduction and Examples 2. Cram´

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Source URL: www.stat.washington.edu

Language: English - Date: 2007-03-06 20:02:20
71  Chapter 4 Efficient Likelihood Estimation and Related Tests 1. Maximum likelihood and efficient likelihood estimation

1 Chapter 4 Efficient Likelihood Estimation and Related Tests 1. Maximum likelihood and efficient likelihood estimation

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Source URL: www.stat.washington.edu

Language: English - Date: 2010-02-02 19:46:28
8M- and Z- theorems; GMM and Empirical Likelihood Wellner; [removed], [removed], [removed], [removed]Z-theorems: Notation and Context Suppose that Θ ⊂ Rk , and that Ψn : Θ → Rk , random maps

M- and Z- theorems; GMM and Empirical Likelihood Wellner; [removed], [removed], [removed], [removed]Z-theorems: Notation and Context Suppose that Θ ⊂ Rk , and that Ψn : Θ → Rk , random maps

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Source URL: www.stat.washington.edu

Language: English - Date: 2015-01-23 14:41:12
91  Chapter 4 Efficient Likelihood Estimation and Related Tests 1. Maximum likelihood and efficient likelihood estimation

1 Chapter 4 Efficient Likelihood Estimation and Related Tests 1. Maximum likelihood and efficient likelihood estimation

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Source URL: www.stat.washington.edu

Language: English - Date: 2015-02-09 12:24:35
101  Chapter 3 Lower Bounds for Estimation 1. Introduction and Examples 2. Cram´

1 Chapter 3 Lower Bounds for Estimation 1. Introduction and Examples 2. Cram´

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Source URL: www.stat.washington.edu

Language: English - Date: 2010-12-08 16:14:10