Model-free curve estimation
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Author
Contributions
- Lock, Michael D. - Contributor
Publication
1993 - Chapman & Hall, New York, New York (State)
Language
English
Word Count
75,000 words, Guess
Page Count
300 pages
Physical Format
Hardcover
Identifiers
- Open LibraryOL1427280M
- ISBN-100412042517
- OCLC Control Number29183070
- Library of Congress Control Number93038411
- LibraryThing5164896
and 1 more
- Goodreads2787625
Classifications
- DDC519.5/44
- LCCQA276.8 .T36 1993
Description
Model-free curve estimation details the Fourier series approach to density estimation and explores how model-free technology can be expanded to deal with other statistical curves, such as survival and regression functions. It also describes the implementation of some curves for exploratory data analysis, including 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.
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
Subjects
Topics
Series Statement
- Monographs on statistics and applied probability ;
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