Statistical inference and modeling with the S distribution

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dc.creatorAksenov, Sergej V.
dc.creatorSavageau, Michael A.
dc.date2001-12-17
dc.date.accessioned2026-07-07T05:46:51Z
dc.date.available2026-07-07T05:46:51Z
dc.descriptionWe consider the problem of statistical inference for the S distribution and introduce new minimum distance estimators for the four parameters of the S distribution using Kolmogorov-Smirnov, Cramer-von Mises and related distance metrics. Approximate goodness-of-fit and confidence intervals for parameters are calculated using bootstrap methods. We discuss further how the S distribution can be used to solve various problems of statistical modeling associated with parameter inference, including goodness-of-fit tests, Monte Carlo simulations and modeling trends in the distributions.
dc.description22 pages, 1 Postscript figure, uses rotating.sty, harvard.sty Submitted to Journal of Statistical Computation and Simulation
dc.identifierhttps://arxiv.org/abs/physics/0112046
dc.identifierhttp://arxiv.org/abs/physics/0112046
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/84491
dc.subjectData Analysis, Statistics and Probability
dc.titleStatistical inference and modeling with the S distribution
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