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Bayesian Inference for Skew-normal Linear Mixed Models
Arellano-Valle, R.B.; Bolfarine, H.; Lachos, V.H. - In: Journal of Applied Statistics 34 (2007) 6, pp. 663-682
, which includes the normal ones as a special case and provides robust estimation in mixed models. The MCMC scheme is derived …
Persistent link: https://www.econbiz.de/10005492194
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A Bayesian approach for estimating antiviral efficacy in HIV dynamic models
Huang, Yangxin; Wu, Hulin - In: Journal of Applied Statistics 33 (2006) 2, pp. 155-174
The study of HIV dynamics is one of the most important developments in recent AIDS research. It has led to a new understanding of the pathogenesis of HIV infection. Although important findings in HIV dynamics have been published in prestigious scientific journals, the statistical methods for...
Persistent link: https://www.econbiz.de/10005492196
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A Bayesian Adjustment for Covariate Misclassification with Correlated Binary Outcome Data
Ren, Dianxu; Stone, Roslyn - In: Journal of Applied Statistics 34 (2007) 9, pp. 1019-1034
model when a gold standard is not available. This Markov Chain Monte Carlo (MCMC) approach uses two imperfect measures of a …
Persistent link: https://www.econbiz.de/10005495305
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Bayesian inference for the mean and standard deviation of a normal population when only the sample size, mean and range are observed
Alba, Enrique De; Fernandez-Duran, Juan; … - In: Journal of Applied Statistics 33 (2006) 1, pp. 89-99
Chain Monte Carlo (MCMC) algorithm to simulate samples from the intractable joint posterior distribution of the mean and …
Persistent link: https://www.econbiz.de/10005458325
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A Bayesian Analysis for Accelerated Lifetime Tests Under an Exponential Power Law Model with Threshold Stress
Tojeiro, Cynthia; Louzada-Neto, Francisco; Bolfarine, Heleno - In: Journal of Applied Statistics 31 (2004) 6, pp. 685-691
relationship with a threshold stress. Both Laplace and MCMC methods are considered. The methodology is described in detail for the …
Persistent link: https://www.econbiz.de/10005278891
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Bayesian analysis of panel data using an MTAR model
Jung, Yoon Young; Shin, Dong Wan; Oh, Man-Suk - In: Journal of Applied Statistics 32 (2005) 8, pp. 841-854
. Posterior estimation of parameters of the MTAR models is done by using a simple Markov Chain Monte Carlo (MCMC) algorithm …
Persistent link: https://www.econbiz.de/10005278929
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Bayesian statistical inference for start-up demonstration tests with rejection of units upon observing d failures
Scollnik, David - In: Journal of Applied Statistics 37 (2010) 7, pp. 1113-1121
tests are corrected. The method developed in this paper is a Markov chain Monte Carlo (MCMC) method incorporating data …
Persistent link: https://www.econbiz.de/10008674910
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On estimating the distribution of data envelopment analysis efficiency scores: an application to nursing homes' care planning process
Gajewski, B. J.; Lee, R.; Bott, M.; Piamjariyakul, U.; … - In: Journal of Applied Statistics 36 (2009) 9, pp. 933-944
Data envelopment analysis (DEA) is a deterministic econometric model for calculating efficiency by using data from an observed set of decision-making units (DMUs). We propose a method for calculating the distribution of efficiency scores. Our framework relies on estimating data from an...
Persistent link: https://www.econbiz.de/10008466713