Efficient estimator

Results: 122



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41Journal of Machine Learning Research[removed]Submitted 3/13; Published[removed]Communication-Efficient Algorithms for Statistical Optimization

Journal of Machine Learning Research[removed]Submitted 3/13; Published[removed]Communication-Efficient Algorithms for Statistical Optimization

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Source URL: arxiv.org

Language: English - Date: 2013-10-13 22:21:29
421  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
431  Chapter 8 Bootstrap and Jackknife Estimation of Sampling Distributions 1. A General View of the Bootstrap

1 Chapter 8 Bootstrap and Jackknife Estimation of Sampling Distributions 1. A General View of the Bootstrap

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Source URL: www.stat.washington.edu

Language: English - Date: 2011-05-18 15:13:01
44Statistics 582, Problem Set 4 Wellner; [removed]Reading: Lehmann, TPE, Chapter 5, sections 5.1 and 5.2. Course Notes, Chapter 5, sections 4-7. Due: Wednesday, February 4, 2015.

Statistics 582, Problem Set 4 Wellner; [removed]Reading: Lehmann, TPE, Chapter 5, sections 5.1 and 5.2. Course Notes, Chapter 5, sections 4-7. Due: Wednesday, February 4, 2015.

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Source URL: www.stat.washington.edu

Language: English - Date: 2015-01-28 11:07:46
4538. Statistics[removed]STATISTICS Revised September 2013 by G. Cowan (RHUL). This chapter gives an overview of statistical methods used in high-energy physics. In statistics, we are interested in using a given sample of d

38. Statistics[removed]STATISTICS Revised September 2013 by G. Cowan (RHUL). This chapter gives an overview of statistical methods used in high-energy physics. In statistics, we are interested in using a given sample of d

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Source URL: www-pdg.lbl.gov

Language: English - Date: 2014-08-21 16:39:21
46Ann Inst Stat Math[removed]:93–127 DOI[removed]s10463[removed]y Sparse and efficient estimation for partial spline models with increasing dimension Guang Cheng · Hao Helen Zhang · Zuofeng Shang

Ann Inst Stat Math[removed]:93–127 DOI[removed]s10463[removed]y Sparse and efficient estimation for partial spline models with increasing dimension Guang Cheng · Hao Helen Zhang · Zuofeng Shang

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Source URL: www.ism.ac.jp

Language: English - Date: 2015-01-29 19:19:35
47Large Sample Properties of Generalized Method of Moments Estimators Author(s): Lars Peter Hansen Reviewed work(s): Source: Econometrica, Vol. 50, No. 4 (Jul., 1982), pp[removed]Published by: The Econometric Society St

Large Sample Properties of Generalized Method of Moments Estimators Author(s): Lars Peter Hansen Reviewed work(s): Source: Econometrica, Vol. 50, No. 4 (Jul., 1982), pp[removed]Published by: The Econometric Society St

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Source URL: teach.business.uq.edu.au

Language: English - Date: 2015-02-05 22:25:33
48Technical Report Series GO[removed]Technical Report on Developing More Efficient and Accurate Methods for the Use of Remote Sensing in Agricultural

Technical Report Series GO[removed]Technical Report on Developing More Efficient and Accurate Methods for the Use of Remote Sensing in Agricultural

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Source URL: www.gsars.org

Language: English - Date: 2014-09-04 03:37:34
49Statistics Lecture 2 August 7, 2000 Frank Porter Caltech The plan for these lectures:

Statistics Lecture 2 August 7, 2000 Frank Porter Caltech The plan for these lectures:

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Source URL: www-group.slac.stanford.edu

Language: English - Date: 2007-03-17 12:42:37
50This article was downloaded by: [University of Washington Libraries] On: 25 April 2013, At: 10:42 Publisher: Taylor & Francis Informa Ltd Registered in England and Wales Registered Number: [removed]Registered office: Mort

This article was downloaded by: [University of Washington Libraries] On: 25 April 2013, At: 10:42 Publisher: Taylor & Francis Informa Ltd Registered in England and Wales Registered Number: [removed]Registered office: Mort

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Source URL: www.stat.washington.edu

Language: English - Date: 2013-04-25 15:05:48