A note on probability weighted moment inequalities for reliability measures.
Oluyede, Broderick O. (2006)
JIPAM. Journal of Inequalities in Pure & Applied Mathematics [electronic only]
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Oluyede, Broderick O. (2006)
JIPAM. Journal of Inequalities in Pure & Applied Mathematics [electronic only]
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Oluyede, B.O. (2002)
Journal of Inequalities and Applications [electronic only]
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Chanchal Kundu (2014)
Applications of Mathematics
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In survival studies and life testing, the data are generally truncated. Recently, authors have studied a weighted version of Kerridge inaccuracy measure for truncated distributions. In the present paper we consider weighted residual and weighted past inaccuracy measure and study various aspects of their bounds. Characterizations of several important continuous distributions are provided based on weighted residual (past) inaccuracy measure.
Osama Mohareb Khaled, Haroon Mohamed Barakat, Nourhan Khalil Rakha (2022)
Kybernetika
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We discuss three estimation methods: the method of moments, probability weighted moments, and L-moments for the scale parameter and the extreme value index in the generalized Pareto distribution under linear normalization. Moreover, we adapt these methods to use for the generalized Pareto distribution under power and exponential normalizations. A simulation study is conducted to compare the three methods on the three models and determine which is the best, which turned out to be the...
Ondřej Vencálek (2013)
Acta Universitatis Palackianae Olomucensis. Facultas Rerum Naturalium. Mathematica
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In the present paper we investigate performance of the -depth-nearest classifier. This classifier, proposed recently by Vencálek, uses the concept of data depth to improve the classification method known as the -nearest neighbour. Simulation study which is presented here deals with the two-class classification problem in which the considered distributions belong to the family of skewed normal distributions.
Kanchan Jain, Neetu Singla, Rameshwar D. Gupta (2014)
Discussiones Mathematicae Probability and Statistics
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Weighted Gamma (WG), a weighted version of Gamma distribution, is introduced. The hazard function is increasing or upside-down bathtub depending upon the values of the parameters. This distribution can be obtained as a hidden upper truncation model. The expressions for the moment generating function and the moments are given. The non-linear equations for finding maximum likelihood estimators (MLEs) of parameters are provided and MLEs have been computed through simulations and also for...
Martial Guillaud, Jean-Marc Chassery (1991)
Statistique et analyse des données
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