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• W1976810329 abstract "Methods are developed for finding an optimal model for a non-Gaussian stationary stochastic process or homogeneous random field under limited information. The available information consists of: (i) one or more finite length samples of the process or field; and (ii) knowledge that the process or field takes values in a bounded interval of the real line whose ends may or may not be known. The methods are developed and applied to the special case of non-Gaussian processes or fields belonging to the class of beta translation processes. Beta translation processes provide a flexible model for representing physical phenomena taking values in a bounded range, and are therefore useful for many applications. Numerical examples are presented to illustrate the utility of beta translation processes and the proposed methods for model selection." @default.
• W1976810329 created "2016-06-24" @default.
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• W1976810329 date "2009-07-01" @default.
• W1976810329 modified "2023-10-16" @default.
• W1976810329 title "Model selection for a class of stochastic processes or random fields with bounded range" @default.
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• W1976810329 doi "https://doi.org/10.1016/j.probengmech.2008.08.003" @default.
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