کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
415754 681232 2006 25 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Dimension reduction in functional regression with applications
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر نظریه محاسباتی و ریاضیات
پیش نمایش صفحه اول مقاله
Dimension reduction in functional regression with applications
چکیده انگلیسی

Two dimensional reduction regression methods to predict a scalar response from a discretized sample path of a continuous time covariate process are presented. The methods take into account the functional nature of the predictor and are both based on appropriate wavelet decompositions. Using such decompositions, prediction methods are devised that are similar to minimum average variance estimation (MAVE) or functional sliced inverse regression (FSIR). Their practical implementation is described, together with their application both to simulated and on real data analyzing three calibration examples of near infrared spectra.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Computational Statistics & Data Analysis - Volume 50, Issue 9, 1 May 2006, Pages 2422–2446
نویسندگان
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