Bayesian Analysis of Statistical Distribution in Open BUGS: An Introduction to Open BUGS - Tapa blanda
Sinopsis
Bayesian method in statistics is very widely used in solving variety of complex problem. Bayesian method provides an important computational and methodological advantage over classical technique. The Markov Chain Monte Carlo (MCMC) method provides an alternative method for parameter estimation of the model. The book extensively uses Markov Chain Monte Carlo (MCMC) simulation method in Open BUGS to estimate the parameters of the model. A procedure is developed to estimate the scale and shape parameter of the model on a complete sample in Open BUGS. A module (Code) is incorporated in an Open BUGS. R-Functions are developed to study the statistical properties of the model. One real data set is analyzed for illustration in the book. Two distributions viz. Generalized Exponential and Inverse Weibull have been used for analyzing the reliability of the distribution .The MCMC methods in Open BUGS were found to be more simple and reliable as compared to tradition method like Maximum Likelihood Method.
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Reseña del editor
Bayesian method in statistics is very widely used in solving variety of complex problem. Bayesian method provides an important computational and methodological advantage over classical technique. The Markov Chain Monte Carlo (MCMC) method provides an alternative method for parameter estimation of the model. The book extensively uses Markov Chain Monte Carlo (MCMC) simulation method in Open BUGS to estimate the parameters of the model. A procedure is developed to estimate the scale and shape parameter of the model on a complete sample in Open BUGS. A module (Code) is incorporated in an Open BUGS. R-Functions are developed to study the statistical properties of the model. One real data set is analyzed for illustration in the book. Two distributions viz. Generalized Exponential and Inverse Weibull have been used for analyzing the reliability of the distribution .The MCMC methods in Open BUGS were found to be more simple and reliable as compared to tradition method like Maximum Likelihood Method.
Biografía del autor
A PhD in Statistics, currently an Associate Professor, in Maharashtra College,(affiliated to Mumbai University) Mumbai, India, with teaching experience of 22 years. Has papers published in national and international journals. His main research interests are Bayesian Statistics, reliability models and computational Statistics using Open BUGS and R.
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Bayesian Analysis of Statistical Distribution in Open BUGS
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LAP LAMBERT Academic Publishing Dez 2012, 2012
ISBN 10: 3843359628
ISBN 13: 9783843359627
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Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Bayesian method in statistics is very widely used in solving variety of complex problem. Bayesian method provides an important computational and methodological advantage over classical technique. The Markov Chain Monte Carlo (MCMC) method provides an alternative method for parameter estimation of the model. The book extensively uses Markov Chain Monte Carlo (MCMC) simulation method in Open BUGS to estimate the parameters of the model. A procedure is developed to estimate the scale and shape parameter of the model on a complete sample in Open BUGS. A module (Code) is incorporated in an Open BUGS. R-Functions are developed to study the statistical properties of the model. One real data set is analyzed for illustration in the book. Two distributions viz. Generalized Exponential and Inverse Weibull have been used for analyzing the reliability of the distribution .The MCMC methods in Open BUGS were found to be more simple and reliable as compared to tradition method like Maximum Likelihood Method. 160 pp. Englisch. Nº de ref. del artículo: 9783843359627
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Bayesian Analysis of Statistical Distribution in Open BUGS
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LAP LAMBERT Academic Publishing, 2012
ISBN 10: 3843359628
ISBN 13: 9783843359627
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Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Khan Mahmood AlamA PhD in Statistics, currently an Associate Professor, in Maharashtra College,(affiliated to Mumbai University) Mumbai, India, with teaching experience of 22 years. Has papers published in national and international . Nº de ref. del artículo: 5465933
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Bayesian Analysis of Statistical Distribution in Open BUGS
Publicado por
LAP LAMBERT Academic Publishing Dez 2012, 2012
ISBN 10: 3843359628
ISBN 13: 9783843359627
Nuevo
Taschenbuch
Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemania
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Taschenbuch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Bayesian method in statistics is very widely used in solving variety of complex problem. Bayesian method provides an important computational and methodological advantage over classical technique. The Markov Chain Monte Carlo (MCMC) method provides an alternative method for parameter estimation of the model. The book extensively uses Markov Chain Monte Carlo (MCMC) simulation method in Open BUGS to estimate the parameters of the model. A procedure is developed to estimate the scale and shape parameter of the model on a complete sample in Open BUGS. A module (Code) is incorporated in an Open BUGS. R-Functions are developed to study the statistical properties of the model. One real data set is analyzed for illustration in the book. Two distributions viz. Generalized Exponential and Inverse Weibull have been used for analyzing the reliability of the distribution .The MCMC methods in Open BUGS were found to be more simple and reliable as compared to tradition method like Maximum Likelihood Method.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 160 pp. Englisch. Nº de ref. del artículo: 9783843359627
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Bayesian Analysis of Statistical Distribution in Open BUGS : An Introduction to Open BUGS
Publicado por
LAP LAMBERT Academic Publishing, 2012
ISBN 10: 3843359628
ISBN 13: 9783843359627
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Taschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Bayesian method in statistics is very widely used in solving variety of complex problem. Bayesian method provides an important computational and methodological advantage over classical technique. The Markov Chain Monte Carlo (MCMC) method provides an alternative method for parameter estimation of the model. The book extensively uses Markov Chain Monte Carlo (MCMC) simulation method in Open BUGS to estimate the parameters of the model. A procedure is developed to estimate the scale and shape parameter of the model on a complete sample in Open BUGS. A module (Code) is incorporated in an Open BUGS. R-Functions are developed to study the statistical properties of the model. One real data set is analyzed for illustration in the book. Two distributions viz. Generalized Exponential and Inverse Weibull have been used for analyzing the reliability of the distribution .The MCMC methods in Open BUGS were found to be more simple and reliable as compared to tradition method like Maximum Likelihood Method. Nº de ref. del artículo: 9783843359627
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Bayesian Analysis of Statistical Distribution in Open BUGS | An Introduction to Open BUGS
Publicado por
LAP LAMBERT Academic Publishing, 2012
ISBN 10: 3843359628
ISBN 13: 9783843359627
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Taschenbuch. Condición: Neu. Bayesian Analysis of Statistical Distribution in Open BUGS | An Introduction to Open BUGS | Mahmood Alam Khan | Taschenbuch | 160 S. | Englisch | 2012 | LAP LAMBERT Academic Publishing | EAN 9783843359627 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. Nº de ref. del artículo: 106144605
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Bayesian Analysis of Statistical Distribution in Open BUGS: An Introduction to Open BUGS
Publicado por
LAP LAMBERT Academic Publishing, 2012
ISBN 10: 3843359628
ISBN 13: 9783843359627
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