國家衛生研究院 NHRI:Item 3990099045/1687
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    Please use this identifier to cite or link to this item: http://ir.nhri.org.tw/handle/3990099045/1687


    Title: Functional response models
    Authors: Chiou, JM;Muller, HG;Wang, JL
    Contributors: Division of Biostatistics and Bioinformatics
    Abstract: We review functional regression models and discuss in more detail the situation where the predictor is a vector or scalar, such as a dose, and the response is a random trajectory. These models incorporate the influence of the predictor either through the mean response function, through the random components of a Karhunen-Loeve or functional principal components expansion, or by means of a combination of both. In a case study, we analyze dose-response data with functional responses from an experiment on the age-specific reproduction of medflies. Daily egg-laying was recorded for a sample of 874 medflies in response to dietary dose provided to the flies. we compare several functional response models for these data. A useful criterion to evaluate models is a model's ability to predict the response at a new dose. we quantify this notion by means of a conditional prediction error that is obtained through a leave-one-dose-out technique.
    Keywords: Statistics & Probability
    Date: 2004-07
    Relation: Statistica Sinica. 2004 Jul;14(3):675-693.
    Link to: http://www3.stat.sinica.edu.tw/statistica/J14N3/J14N33/J14N33.html
    JIF/Ranking 2023: http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=NHRI&SrcApp=NHRI_IR&KeyISSN=1017-0405&DestApp=IC2JCR
    Cited Times(WOS): https://www.webofscience.com/wos/woscc/full-record/WOS:000223652100005
    Cited Times(Scopus): http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=8644267673
    Appears in Collections:[Jeng-Min Chiou(2000-2004)] Conference Papers/Meeting Abstract

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