Statistical Analysis of Curve Data
Chapman & Hall/CRC (Publisher)
Will be published approx. on 31. December 2050
Book
Hardback
450 pages
978-1-58488-081-3 (ISBN)
Description
Mathematically oriented yet rich in applications, this monograph discusses not only the analysis of single curves, but also of samples of curves--a topic of both practical and theoretical interest. Rapid progress in recent years with respect to bandwidth choice, local polynomials, multidimensional designs, and algorithms make the topics in the first section both timely and valuable. Much of the material in the last two sections appears here in book form for the first time. Written on a level accessible to graduate students in statistics and mathematics, this will be an important reference for a broad audience of researchers and statisticians working in many fields of applications.
More details
Language
English
Place of publication
United Kingdom
Publishing group
Taylor & Francis Ltd
Target group
Professional and scholarly
Dimensions
Height: 234 mm
Width: 156 mm
ISBN-13
978-1-58488-081-3 (9781584880813)
Copyright in bibliographic data is held by Nielsen Book Services Limited or its licensors: all rights reserved.
Schweitzer Classification
Persons
Content
NONPARAMETRIC REGRESSION: Introduction and Overview. Basic Methods in One Dimension. Choice of Kernels and Treatment of Boundary. Optimality Results. Residual Variance and Confidence Bands. Bandwidth Choice. Multidimensional Designs. Theoretical Results. Reduction of Complexity by Model Selection. STRUCTURAL ANALYSIS OF SAMPLES OF CURVES: Introduction. Feature Extraction. Structural Analysis and a Valid Curve Average. Functiona; PCA and Related Approaches. SELF-MODELING REGRESSION (SEMOR): Introduction. Description of the Method. Shape-Invariant Models. Identifying a Best Linear Regression Model.