When inflation causes no increase in claim amounts.

Brazauskas, Vytaras; Jones, Bruce L.; Zitikis, Ričardas

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Displaying similar documents to “When inflation causes no increase in claim amounts.”

Estimation of log-linear-binomial distribution with applications.

Habib, Elsayed Ali (2010)

Journal of Probability and Statistics

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A note on confidence interval for the power of the one sample $t$ test.

Wong, A. (2010)

Journal of Probability and Statistics

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Quantile Estimation for the Generalized Pareto Distribution With Application to Finance

Jelena Jocković (2012)

The Yugoslav Journal of Operations Research

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Comparing estimation methods for the FPLD.

Tarsitano, Agostino (2010)

Journal of Probability and Statistics

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Information-type divergence when the likelihood ratios are bounded

Andrew Rukhin (1997)

Applicationes Mathematicae

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The so-called ϕ-divergence is an important characteristic describing "dissimilarity" of two probability distributions. Many traditional measures of separation used in mathematical statistics and information theory, some of which are mentioned in the note, correspond to particular choices of this divergence. An upper bound on a ϕ-divergence between two probability distributions is derived when the likelihood ratio is bounded. The usefulness of this sharp bound is illustrated by several...

On the existence and uniqueness of the maximum likelihood estimators of normal and lognormal population parameters with grouped data.

Xia, Jin, Mi, Jie, Zhou, Yanyan (2009)

Journal of Probability and Statistics

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On the compound Poisson-gamma distribution

Christopher Withers, Saralees Nadarajah (2011)

Kybernetika

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The compound Poisson-gamma variable is the sum of a random sample from a gamma distribution with sample size an independent Poisson random variable. It has received wide ranging applications. In this note, we give an account of its mathematical properties including estimation procedures by the methods of moments and maximum likelihood. Most of the properties given are hitherto unknown.

The likelihood ratio test for general mixture models with or without structural parameter

Jean-Marc Azaïs, Élisabeth Gassiat, Cécile Mercadier (2009)

ESAIM: Probability and Statistics

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This paper deals with the likelihood ratio test (LRT) for testing hypotheses on the mixing measure in mixture models with or without structural parameter. The main result gives the asymptotic distribution of the LRT statistics under some conditions that are proved to be almost necessary. A detailed solution is given for two testing problems: the test of a single distribution against any mixture, with application to Gaussian, Poisson and binomial distributions; the test of the number...