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  • Search: subject:"Fiducial inference"
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Year of publication
Subject
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Fiducial inference 3 fiducial inference 3 Bootstrap Methods 2 Confidence Intervals and Sets 2 Coverage Accuracy and Expected Length 2 Fiducial Inference 2 Markov-chain Monte Carlo 2 Structural Breaks 2 coverage probability 2 pivotal quantity 2 unbalanced one-way random effects model 2 variance components 2 Bayesian inference 1 Binomial distribution 1 Confidence distributions 1 Correct level 1 Cost-benefit 1 Coverage probability 1 Dempster–Shafer calculus 1 Generalized confidence intervals 1 Generalized fiducial inference 1 Gibbs sampler 1 Inverse sampling 1 Negative binomial distribution 1 Poisson distribution 1 Research and Development/Tech Change/Emerging Technologies 1 Testing constancy 1 Varying-coefficient regression model 1 cost-benefit 1 p-value 1 risk 1 tolerance package 1 uncertainty 1
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Online availability
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Free 5 Undetermined 4 CC license 1
Type of publication
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Article 6 Book / Working Paper 3
Type of publication (narrower categories)
All
Article 1 Article in journal 1 Aufsatz in Zeitschrift 1
Language
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Undetermined 7 English 2
Author
All
Eo, Yunjong 2 Jiratampradab, Arisa 2 Morley, James C. 2 Suntornchost, Jiraphan 2 Supapakorn, Thidaporn 2 Auda, Hesham 1 Beare, Stephen 1 Chambers, Raymond 1 Hannig, Jan 1 Ismail, Sanaa 1 Lai, Randy C.S. 1 Lee, Thomas C.M. 1 Li, Na 1 Liu, Xuhua 1 Mathew, Thomas 1 Xu, Xingzhong 1 Young, Derek S. 1
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Institution
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Volkswirtschaftliche Fakultät, Ludwig-Maximilians-Universität München 2 Australian Agricultural and Resource Economics Society - AARES 1
Published in...
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Computational Statistics & Data Analysis 2 MPRA Paper 2 2012 Conference (56th), February 7-10, 2012, Freemantle, Australia 1 Journal of Applied Statistics 1 Metrika 1 Statistics in Transition new series (SiTns) 1 Statistics in transition : an international journal of the Polish Statistical Association and Statistics Poland 1
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Source
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RePEc 7 ECONIS (ZBW) 1 EconStor 1
Showing 1 - 9 of 9
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Comparison of confidence intervals for variance components in an unbalanced one-way random effects model
Jiratampradab, Arisa; Supapakorn, Thidaporn; … - In: Statistics in Transition new series (SiTns) 23 (2022) 4, pp. 149-160
quantity, a fiducial inference and a fiducial generalised pivotal quantity. The comparison of criteria involves the empirical … interval. The simulation results show that the method based on the generalised pivotal quantity and the fiducial inference …
Persistent link: https://www.econbiz.de/10015051626
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Comparison of confidence intervals for variance components in an unbalanced one-way random effects model
Jiratampradab, Arisa; Supapakorn, Thidaporn; … - In: Statistics in transition : an international journal of … 23 (2022) 4, pp. 149-160
quantity, a fiducial inference and a fiducial generalised pivotal quantity. The comparison of criteria involves the empirical … interval. The simulation results show that the method based on the generalised pivotal quantity and the fiducial inference …
Persistent link: https://www.econbiz.de/10014287916
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Fiducial cost-benefit analysis research: with an application to weather modification
Beare, Stephen; Chambers, Raymond - Australian Agricultural and Resource Economics Society … - 2012
Environmental intervention is often seen as being high risk and high return. Traditional scientific hypothesis testing provides limited guidance to policy makers unless there is a high level of certainty in the supporting scientific evidence. Traditional cost-benefit analysis under uncertainty...
Persistent link: https://www.econbiz.de/10010915506
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Likelihood-Based Confidence Sets for the Timing of Structural Breaks
Eo, Yunjong; Morley, James C. - Volkswirtschaftliche Fakultät, … - 2008
In this paper, we propose a new approach to constructing confidence sets for the timing of structural breaks. This approach involves using Markov-chain Monte Carlo methods to simulate marginal “fiducial” distributions of break dates from the likelihood function. We compare our proposed...
Persistent link: https://www.econbiz.de/10005620167
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Likelihood-Based Confidence Sets for the Timing of Structural Breaks
Eo, Yunjong; Morley, James C. - Volkswirtschaftliche Fakultät, … - 2008
In this paper, we propose a new approach to constructing confidence sets for the timing of structural breaks. This approach involves using Markov-chain Monte Carlo methods to simulate marginal “fiducial” distributions of break dates from the likelihood function. We compare our proposed...
Persistent link: https://www.econbiz.de/10005619602
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Computational issues of generalized fiducial inference
Hannig, Jan; Lai, Randy C.S.; Lee, Thomas C.M. - In: Computational Statistics & Data Analysis 71 (2014) C, pp. 849-858
Generalized fiducial inference is closely related to the Dempster–Shafer theory of belief functions. It is a general … unknown or hard to obtain. A new computational method for conducting generalized fiducial inference without knowing the exact … theoretical and empirical properties. Consequently, with this proposed method the applicability of generalized fiducial inference …
Persistent link: https://www.econbiz.de/10010871372
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Fiducial-based tolerance intervals for some discrete distributions
Mathew, Thomas; Young, Derek S. - In: Computational Statistics & Data Analysis 61 (2013) C, pp. 38-49
Fiducial quantities are proposed to construct approximate tolerance limits and intervals for functions of some discrete random variables. Using established fiducial quantities for binomial proportions, Poisson rates, and negative binomial proportions, an approach is demonstrated to handle...
Persistent link: https://www.econbiz.de/10010617236
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Testing the constancy in varying-coefficient regression models
Li, Na; Xu, Xingzhong; Liu, Xuhua - In: Metrika 74 (2011) 3, pp. 409-438
Persistent link: https://www.econbiz.de/10009324792
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Bayesian and fiducial inference for the inverse gaussian distribution via Gibbs sampler
Ismail, Sanaa; Auda, Hesham - In: Journal of Applied Statistics 33 (2006) 8, pp. 787-805
This paper presents a kernel estimation of the distribution of the scale parameter of the inverse Gaussian distribution under type II censoring together with the distribution of the remaining time. Estimation is carried out via the Gibbs sampling algorithm combined with a missing data approach....
Persistent link: https://www.econbiz.de/10005141254
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