Markov Chain Monte Carlo Methods for Parameter Estimation of a New Modified Weibull Distribution

Kun Zhang

doi:10.12733/jics20103338

Markov Chain Monte Carlo Methods for Parameter Estimation of a New Modified Weibull Distribution

Journal of Information and Computational Science ◽

10.12733/jics20103338 ◽

2014 ◽

Vol 11 (7) ◽

pp. 2241-2252

Author(s):

Kun Zhang

Keyword(s):

Monte Carlo ◽

Parameter Estimation ◽

Markov Chain ◽

Markov Chain Monte Carlo ◽

Weibull Distribution ◽

Monte Carlo Methods ◽

Modified Weibull Distribution ◽

Modified Weibull

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Markov chain Monte Carlo methods for parameter estimation of the modified Weibull distribution

Journal of Applied Statistics ◽

10.1080/02664760801920846 ◽

2008 ◽

Vol 35 (6) ◽

pp. 647-658 ◽

Cited By ~ 17

Author(s):

H. Jiang ◽

M. Xie ◽

L.C. Tang

Keyword(s):

Monte Carlo ◽

Parameter Estimation ◽

Markov Chain ◽

Markov Chain Monte Carlo ◽

Weibull Distribution ◽

Monte Carlo Methods ◽

Modified Weibull Distribution ◽

Modified Weibull

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A Bayes analysis of modified Weibull distribution via Markov chain Monte Carlo simulation

Journal of Statistical Computation and Simulation ◽

10.1080/00949650802600730 ◽

2010 ◽

Vol 80 (3) ◽

pp. 241-254 ◽

Cited By ~ 34

Author(s):

S. K. Upadhyay ◽

Ashutosh Gupta

Keyword(s):

Monte Carlo Simulation ◽

Monte Carlo ◽

Markov Chain ◽

Markov Chain Monte Carlo ◽

Weibull Distribution ◽

Modified Weibull Distribution ◽

Bayes Analysis ◽

Modified Weibull

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Posterior and predictive inferences for Marshall Olkin bivariate Weibull distribution via Markov chain Monte Carlo methods

International Journal of Systems Assurance Engineering and Management ◽

10.1007/s13198-019-00903-9 ◽

2019 ◽

Vol 10 (6) ◽

pp. 1535-1543

Author(s):

Rakesh Ranjan ◽

Vastoshpati Shastri

Keyword(s):

Monte Carlo ◽

Markov Chain ◽

Markov Chain Monte Carlo ◽

Weibull Distribution ◽

Monte Carlo Methods ◽

Predictive Inferences ◽

Bivariate Weibull Distribution

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A COMPARISON OF PARAMETER ESTIMATION OF LOGISTIC REGRESSION MODEL BY MAXIMUM LIKELIHOOD, RIDGE REGRESSION, MARKOV CHAIN MONTE CARLO METHODS

Proceedings of the 35th International Academic Conference, Barcelona ◽

10.20472/iac.2018.935.004 ◽

2018 ◽

Author(s):

Autcha Araveeporn

Keyword(s):

Monte Carlo ◽

Logistic Regression ◽

Parameter Estimation ◽

Markov Chain ◽

Markov Chain Monte Carlo ◽

Maximum Likelihood ◽

Regression Model ◽

Monte Carlo Methods ◽

Ridge Regression ◽

Logistic Regression Model

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Parameter estimation of the modified Weibull distribution using Monte Carlo Expectation Maximization algorithm

Model Assisted Statistics and Applications ◽

10.3233/mas-150361 ◽

2016 ◽

Vol 11 (2) ◽

pp. 171-178

Author(s):

Santosh Sutar

Keyword(s):

Monte Carlo ◽

Parameter Estimation ◽

Weibull Distribution ◽

Expectation Maximization ◽

Expectation Maximization Algorithm ◽

Modified Weibull Distribution ◽

Monte Carlo Expectation Maximization ◽

Modified Weibull

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Parameter Estimation for Stock Models with Non-Constant Volatility Using Markov Chain Monte Carlo Methods

Operations Research Proceedings - Operations Research Proceedings 2006 ◽

10.1007/978-3-540-69995-8_38 ◽

2007 ◽

pp. 227-232

Author(s):

Markus Hahn ◽

Wolfgang Putschögl ◽

Jörn Sass

Keyword(s):

Monte Carlo ◽

Parameter Estimation ◽

Markov Chain ◽

Markov Chain Monte Carlo ◽

Monte Carlo Methods

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Markov Chain Monte Carlo Methods for Parameter Estimation in Multidimensional Continuous Time Markov Switching Models

Journal of Financial Econometrics ◽

10.1093/jjfinec/nbp026 ◽

2009 ◽

Vol 8 (1) ◽

pp. 88-121 ◽

Cited By ~ 15

Author(s):

M. Hahn ◽

S. Fruhwirth-Schnatter ◽

J. Sass

Keyword(s):

Monte Carlo ◽

Parameter Estimation ◽

Markov Chain ◽

Markov Chain Monte Carlo ◽

Monte Carlo Methods ◽

Continuous Time ◽

Markov Switching ◽

Markov Switching Models ◽

Switching Models

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Markov Chain Monte Carlo Methods for Reserves Estimation

10.2523/10065-ms ◽

2005 ◽

Cited By ~ 3

Author(s):

Andrew W. Wadsley

Keyword(s):

Monte Carlo ◽

Markov Chain ◽

Markov Chain Monte Carlo ◽

Monte Carlo Methods

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Statistical Inference for Coherent Systems from Partial Information and Markov Chain Monte Carlo Methods.

10.21236/ada305676 ◽

1996 ◽

Author(s):

Hani Doss

Keyword(s):

Monte Carlo ◽

Markov Chain ◽

Markov Chain Monte Carlo ◽

Statistical Inference ◽

Monte Carlo Methods ◽

Partial Information ◽

Coherent Systems

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An Aspect Oriented Framework to Applying Markov Chain Monte Carlo Methods with Dynamic Models

TMS/DEVS Symposium on Theory of Modeling & Simulation (TMS/DEVS 2016) ◽

10.22360/springsim.2016.tmsdevs.040 ◽

2016 ◽

Keyword(s):

Monte Carlo ◽

Markov Chain ◽

Markov Chain Monte Carlo ◽

Monte Carlo Methods ◽

Dynamic Models

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