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Characterizations, Models and Applications Book

Characterizations, Models and Applications
Characterizations, Models and Applications, , Characterizations, Models and Applications has a rating of 3.5 stars
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Characterizations, Models and Applications, , Characterizations, Models and Applications
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  • Characterizations, Models and Applications
  • Written by author N. Balakrishnan
  • Published by Taylor & Francis, Inc., May 2005
  • Statistical distributions are one of the most important applied mathematical tools across a wide spectrum of disciplines, including engineering, biological sciences, and health and social sciences. Since they are used to model observed data and ultimately
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Ch. 1The shapes of the probability density, hazard and reverse hazard functions1
Ch. 2Stochastic ordering of risks, influence of dependence, and A.S. constructions19
Ch. 3The q-factorial moments of discrete q-distributions and a characterization of the Euler distribution57
Ch. 4On the characterization of distributions through the properties of conditional expectations of order statistics73
Ch. 5Characterization of the exponential distribution by conditional expectations of generalized spacings83
Ch. 6Some characterizations of exponential distribution based on progressively censored order statistics97
Ch. 7A note on regressing order statistics and record values111
Ch. 8Generalized Pareto distributions and their characterizations121
Ch. 9On some characteristic properties of the uniform distribution153
Ch. 10Characterizations of multivariate distributions involving conditional specification and/or hidden truncation161
Ch. 11Bivariate Matsumoto-Yor property and related characterizations177
Ch. 12First principal component characterization of a continuous random variable189
Ch. 13The Lawless-Wang's operational ridge regression estimator under the LINEX loss function201
Ch. 14On the distribution of the reference dose and its application in health risk assessment215


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