Fisher information

Results: 521



#Item
121FISHER HOUSE FOUNDATION, INC. FINANCIAL STATEMENTS AND SUPPLEMENTARY FINANCIAL INFORMATION DECEMBER 31, 2013

FISHER HOUSE FOUNDATION, INC. FINANCIAL STATEMENTS AND SUPPLEMENTARY FINANCIAL INFORMATION DECEMBER 31, 2013

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Source URL: www.fisherhouse.org

Language: English - Date: 2014-07-31 16:04:49
122Part A Statistics  HT 2015 Problem Sheet 1 1. Let X1 , . . . , Xn be a random sample from a uniform distribution with probability density

Part A Statistics HT 2015 Problem Sheet 1 1. Let X1 , . . . , Xn be a random sample from a uniform distribution with probability density

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Source URL: www.stats.ox.ac.uk

Language: English - Date: 2015-01-13 11:05:42
123Part A Statistics  HT 2015 Problem Sheet 2 1. What is the connection between Fisher’s information and the asymptotic distribution of the

Part A Statistics HT 2015 Problem Sheet 2 1. What is the connection between Fisher’s information and the asymptotic distribution of the

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Source URL: www.stats.ox.ac.uk

Language: English - Date: 2015-01-28 12:03:12
124North American Journal of Fisheries Management 22:727–736, 2002 q Copyright by the American Fisheries Society 2002 Tag Reporting Rate Estimation: 2. Use of High-Reward Tagging and Observers in Multiple-Component Fisher

North American Journal of Fisheries Management 22:727–736, 2002 q Copyright by the American Fisheries Society 2002 Tag Reporting Rate Estimation: 2. Use of High-Reward Tagging and Observers in Multiple-Component Fisher

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Source URL: www.vims.edu

Language: English - Date: 2015-05-07 02:11:45
125Part A Statistics  HT 2015 Problem Sheet 4 1. Suppose that X1 , . . . , Xn each have a geometric distribution with probability mass function f (x | θ) = (1 − θ)x θ for x = 0, 1, . . . . Suppose that the prior for θ

Part A Statistics HT 2015 Problem Sheet 4 1. Suppose that X1 , . . . , Xn each have a geometric distribution with probability mass function f (x | θ) = (1 − θ)x θ for x = 0, 1, . . . . Suppose that the prior for θ

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Source URL: www.stats.ox.ac.uk

Language: English - Date: 2015-02-06 07:36:40
126Deliverable D2.2  Project acronym Project full title  SIMBAD

Deliverable D2.2 Project acronym Project full title SIMBAD

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Source URL: simbad-fp7.eu

Language: English - Date: 2009-10-26 07:56:22
127The Expectation Maximization Algorithm Frank Dellaert College of Computing, Georgia Institute of Technology Technical Report number GIT-GVUFebruary 2002 Abstract

The Expectation Maximization Algorithm Frank Dellaert College of Computing, Georgia Institute of Technology Technical Report number GIT-GVUFebruary 2002 Abstract

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Source URL: aass.oru.se

Language: English - Date: 2005-06-14 12:10:45
128Reasoning About Lock Placements Peter Hawkins, Alex Aiken? , Kathleen Fisher?? , Martin Rinard, and Mooly Sagiv Stanford University, Tufts University, MIT, Tel Aviv University Abstract. A lock placement describes, for ea

Reasoning About Lock Placements Peter Hawkins, Alex Aiken? , Kathleen Fisher?? , Martin Rinard, and Mooly Sagiv Stanford University, Tufts University, MIT, Tel Aviv University Abstract. A lock placement describes, for ea

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Source URL: theory.stanford.edu

Language: English - Date: 2012-03-22 12:39:47
129Score, Pseudo-Score and Residual Diagnostics for Spatial Point Process Models

Score, Pseudo-Score and Residual Diagnostics for Spatial Point Process Models

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Source URL: people.math.aau.dk

Language: English - Date: 2012-03-01 03:01:33
130Rates of Convergence for Data Augmentation on Finite Sample Spaces by Jeffrey S. Rosenthal School of Mathematics, University of Minnesota, Minneapolis, MN 55455, USA (Appeared in Annals of Applied Probability), 8

Rates of Convergence for Data Augmentation on Finite Sample Spaces by Jeffrey S. Rosenthal School of Mathematics, University of Minnesota, Minneapolis, MN 55455, USA (Appeared in Annals of Applied Probability), 8

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Source URL: probability.ca

Language: English - Date: 2006-10-04 20:51:05