Model-free curve estimation
By: Michael E. Tarter, Michael D. Lock.
Contributors: Lock, Michael D.
Series: Monographs on statistics and applied probability ;
Publisher: Chapman & Hall
Published: 1993
Place of publication: New York
Language: eng
Format: Hardcover
Number of pages: 300
Subjects: Estimation theory.; Curve fitting.
Description: This book details Fourier series approach to density estimation and also explores how model-free technology can be expanded to deal with other statistical curves such as survival and regression functions. Beyond these traditional curves, the book describes the implementation of some new curves for exploratory data analysis.

These include a specialized curve for detecting and analyzing hidden subpopulations in data and a family of curves useful for finding the best transformation and model to use in a statistical analysis. Throughout the emphasis is on the practical aspects of implementing and applying curve-estimation techniques although theoretical matters are addressed when necessary
Notes: Includes bibliographical references (p. 262-276) and indexes.