Confidence distribution

Results: 608



#Item
61Formulation of the Problem First Result: Estimating x0 Under Interval Uncertainty Estimating α Under Interval Uncertainty Algorithm for Computing the Smallest Value of α Algorithm for Computing the Largest Value of α

Formulation of the Problem First Result: Estimating x0 Under Interval Uncertainty Estimating α Under Interval Uncertainty Algorithm for Computing the Smallest Value of α Algorithm for Computing the Largest Value of α

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Source URL: www.cs.utep.edu

Language: English - Date: 2011-02-16 22:02:24
6214 th Symposium on Global Change and Climate Variations  9.6 AMS annual meeting, Feb, Long Beach, CA

14 th Symposium on Global Change and Climate Variations 9.6 AMS annual meeting, Feb, Long Beach, CA

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Source URL: www.iac.ethz.ch

Language: English - Date: 2003-02-25 02:59:06
63Package ‘fdrci’ February 19, 2015 Type Package Title Permutation-based FDR Point and Confidence Interval Estimation Version 2.0 Date

Package ‘fdrci’ February 19, 2015 Type Package Title Permutation-based FDR Point and Confidence Interval Estimation Version 2.0 Date

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Source URL: cran.r-project.org

Language: English - Date: 2015-02-19 17:46:02
64This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike License. Your use of this material constitutes acceptance of that license and the conditions of use of materials on this site. Copyright

This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike License. Your use of this material constitutes acceptance of that license and the conditions of use of materials on this site. Copyright

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Source URL: ocw.jhsph.edu

Language: English - Date: 2010-02-25 10:59:01
65Exercises for Stat II 1. Let X1 , ..., Xn be a sample of iid random variables with the density f (x) = (θ+1)xθ , 0 ≤ x ≤ 1. (a) Find the asymptotic variance of the mle of θ. 2. Let X1 , ..., Xn be a iid sample wit

Exercises for Stat II 1. Let X1 , ..., Xn be a sample of iid random variables with the density f (x) = (θ+1)xθ , 0 ≤ x ≤ 1. (a) Find the asymptotic variance of the mle of θ. 2. Let X1 , ..., Xn be a iid sample wit

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Source URL: cwick.co.nz

Language: English - Date: 2014-03-25 19:42:02
66This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike License. Your use of this material constitutes acceptance of that license and the conditions of use of materials on this site. Copyright

This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike License. Your use of this material constitutes acceptance of that license and the conditions of use of materials on this site. Copyright

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Source URL: ocw.jhsph.edu

Language: English - Date: 2010-02-25 10:59:01
672006 Paper 3 Question 10  Mathematical Methods for Computer Science (a) Suppose that X1 , X2 , . . . is a sequence of random variables. State the Central Limit Theorem, noting any assumptions that you make about the rand

2006 Paper 3 Question 10 Mathematical Methods for Computer Science (a) Suppose that X1 , X2 , . . . is a sequence of random variables. State the Central Limit Theorem, noting any assumptions that you make about the rand

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Source URL: www.cl.cam.ac.uk

Language: English - Date: 2014-06-09 10:18:10
68::opt:: 	
   1.0	
     	
  

::opt::   1.0      

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Source URL: nmr.au.dk

Language: English - Date: 2014-07-31 23:53:28
69Terrain Based Probability Models for SAR Matt Jacobs  May 15, 2015  Contents

Terrain Based Probability Models for SAR Matt Jacobs May 15, 2015 Contents

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Source URL: www.mra.org

Language: English - Date: 2015-05-17 19:36:34
70Introduction to Confidence Intervals and Limit Setting via APEX Center for Cosmology and

Introduction to Confidence Intervals and Limit Setting via APEX Center for Cosmology and

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Source URL: hallaweb.jlab.org

Language: English - Date: 2010-12-08 12:58:19