Nonparametric Binary Recursive Partitioning for Deterioration Prediction of Infrastructure Elements
نویسندگان
چکیده
منابع مشابه
A Recursive Partitioning Decision Rule for Nonparametric Lassification *
A new criterion for driving a recursive partitioning decision rule for nonparametric classification is presented. The criterion is both conceptually and computationally simple, and can be shown to have strong statistical merit. The resulting decision rule is asymptotically Bayes risk efficient. The notion of adaptively generated features is introduced and methods are presented for dealing with ...
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Binary recursive partitioning (BRP) is a computationally-intensive statistical method that can be used in situations where linear models are often used. Instead of imposing many assumptions to arrive at a tractable statistical model, BRP simply seeks to accurately predict a response variable based on values of predictor variables. The method outputs a decision tree depicting the predictor varia...
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Recursive partitioning is embedded into the general and well-established class of parametric models that can be fitted using M-type estimators (including maximum likelihood). An algorithm for model-based recursive partitioning is suggested for which the basic steps are: (1) fit a parametric model to a data set, (2) test for parameter instability over a set of partitioning variables, (3) if ther...
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ژورنال
عنوان ژورنال: Advances in Civil Engineering
سال: 2009
ISSN: 1687-8086,1687-8094
DOI: 10.1155/2009/809767