Information content of data and variables and types of weighting in least-squares regression methods

作者: J.J.Baeza Baeza , G.Ramis Ramos , C.Mongay Fernández

DOI: 10.1016/S0003-2670(00)83951-3

关键词:

摘要: Abstract Algorithms are given for evaluating the relative amount of useful information related to a particular parameter which is carried by individual data points and intervals variables. The algorithms provide an efficient means using contained in set data. Applications optimization weighting regression methods described. Several informational combined informational-statistical types studied as improving accuracy precision parameters obtained non-linear regression.

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