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Nuisance parameter
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#	Item
1	Properties of Doubly Robust Estimators when Nuisance Functions are Estimated Nonparametrically Christoph Rothe and Sergio Firpo Abstract An estimator of a finite-dimensional parameter is said to be doubly robust (DR) Add to Reading List Source URL: www.christophrothe.net Language: English - Date: 2018-01-18 06:11:41
2	Testing Spatial Dependence When a Nuisance Parameter is not Identified Under the Null Hypothesis Sheena Kao and Anil K. Bera Department of Economics, University of Illinois at Urbana-Champaign Add to Reading List Source URL: www.real.illinois.edu Language: English - Date: 2014-12-11 08:33:04
3	Introduction to Confidence Intervals and Limit Setting via APEX Center for Cosmology and Add to Reading List Source URL: hallaweb.jlab.org Language: English - Date: 2010-12-08 12:58:19 Statistical tests Statistical inference Normal distribution Nuisance parameter Maximum likelihood Likelihood function Statistical hypothesis testing Parameter Thomas Jefferson National Accelerator Facility Statistics Estimation theory Statistical theory
4	Some Problems Connected with Statistical Inference D. R. Cox The Annals of Mathematical Statistics, Vol. 29, No. 2. (Jun., 1958), ppStable URL: http://links.jstor.org/sici?sici=%%2929%3A2%3C35 Add to Reading List Source URL: www.phil.vt.edu Language: English - Date: 2011-03-10 20:01:08 Fiducial inference Confidence interval Interval estimation Nuisance parameter Behrens–Fisher problem Statistical hypothesis testing Confidence distribution Statistical power Prior probability Statistics Statistical inference Statistical theory
5	The Return of the Prodigal: Bayesian Inference For Astrophysics Thomas J. Loredo Department of Astronomy, Space Sciences Building, Cornell University, Ithaca, New York 14853 Add to Reading List Source URL: www.astro.cornell.edu Language: English - Date: 2010-05-17 14:20:55 Bayesian statistics Psychometrics Philosophy of science Frequentist inference Bayes factor Bayesian inference Nuisance parameter Confidence interval Statistical hypothesis testing Statistics Statistical inference Statistical theory
6	Draft version March 26, 2015 Preprint typeset using LATEX style emulateapj vESTIMATING THE GALACTIC MASS PROFILE IN THE PRESENCE OF INCOMPLETE DATA Gwendolyn M. Eadie1 , William E. Harris1 , and Lawrence M. Widr Add to Reading List Source URL: lanl.arxiv.org Language: English - Date: 2015-03-26 00:39:45 Statistical inference Bayesian statistics Econometrics Maximum likelihood Markov chain Confidence interval Bayesian inference Nuisance parameter Bayes estimator Statistics Estimation theory Statistical theory
7	Why Try Bayesian Methods? (Lecture 5) Tom Loredo Dept. of Astronomy, Cornell University http://www.astro.cornell.edu/staff/loredo/bayes/ Add to Reading List Source URL: www.astro.cornell.edu Language: English - Date: 2002-10-18 06:37:39 Estimation theory Bayesian statistics Nuisance parameter Confidence interval Bayesian inference Statistical hypothesis testing Statistics Statistical inference Statistical theory
8	PDF Document Add to Reading List Source URL: www.spatial-statistics.com Language: English - Date: 2000-10-13 17:24:39 Statistical theory Statistical inference Regression analysis Spatial analysis Bayesian inference Hyperparameter Linear regression Nuisance parameter Prior probability Statistics Bayesian statistics Estimation theory
9	PDF Document Add to Reading List Source URL: www.astro.cornell.edu Language: English - Date: 2010-05-17 14:22:44 Statistical inference Markov chain Monte Carlo Nuisance parameter Bayesian inference Confidence interval Bayes factor Frequentist inference Credible interval Prior probability Statistics Bayesian statistics Statistical theory
10	Hypothesis testing when a nuisance parameter is present only under the alternative - linear model case Add to Reading List Source URL: www.robertnz.net Language: English - Date: 2010-02-24 03:24:45 Logical syntax Metalogic Philosophical logic Propositional calculus Symbol Hájek–Le Cam convolution theorem Logic Deduction Entailment