@techreport{
 title = {Regression Methods to Estimate Environmental Variables For Valencia Lake, Venezuela},
 type = {techreport},
 year = {2009},
 pages = {8},
 institution = {Claremont Graduate University},
 id = {edf633a1-1bdd-39a0-81d5-df13ca6544c6},
 created = {2016-04-28T20:06:59.000Z},
 file_attached = {false},
 profile_id = {ef52f833-b61a-3930-8f4c-9bf1e2e805d7},
 group_id = {21e763bb-7c4c-325f-8f40-0dcc50aa6eda},
 last_modified = {2017-03-14T17:06:48.682Z},
 read = {false},
 starred = {false},
 authored = {false},
 confirmed = {false},
 hidden = {false},
 citation_key = {Garcia2009},
 private_publication = {false},
 abstract = {Time series data available for several environmental variables measured at Valencia Lake – Venezuela are used to build prediction models. To induce a prediction model the problem is formulated as a functional regression. This document describes the analysis and processing of the data and compares the results obtained by the application of three numerical regression techniques: ordinary least squares, Hildreth – Lu method and ridge regression. As part of the processing, different tools for data completion are discussed. Ridge regression is also applied to the estimation of a function for the spatial distribution of different variables in the lake. Index},
 bibtype = {techreport},
 author = {Garcia, Crsitina and Garcia, Mariangel}
}

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