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Exponential Models: Approximations for Probabilities
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نویسنده
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Fraser D. A. S. ,Naderi A. ,Ji Kexin ,Wei Lin ,Jie Su
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منبع
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journal of the iranian statistical society - 2011 - دوره : 10 - شماره : 2 - صفحه:95 -107
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چکیده
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Welch & peers (1963) used a root-information prior to obtain posterior probabilities for a scalar parameter exponential model and showed that these bayes probabilities had the confidence property to second order asymptotically. an important undercurrent of this indicates that the constant information reparameterization provides location model structure, for which the confidence property was and is well known. this paper examines the role of the scalar-parameter exponential model for obtaining approximate probabilities and approximate confidence levels, and then addresses the extension for the vector-parameter exponential model
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کلیدواژه
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Approximation ,approximate probabilities ,asymptotics ,exponential model ,likelihood ,likelihood ratio ,maximum likelihood departure ,p-value
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آدرس
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University of Toronto, Department of Statistics, Canada. University of Western Ontario, Department of Statistical and Actuarial Sciences, Canada, isfahan university of technology, Department of Mathematical Sciences, ایران, University of Toronto, Department of Statistics, Canada, University of Toronto, Department of Statistics, Canada, University of Toronto, Department of Statistics, Canada
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پست الکترونیکی
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sujie2000@hotmail.com
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Authors
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