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

Series Statement

  • Monographs on statistics and applied probability ;

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