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.
| ISBN: | 9780412042515 |
| Publication date: | 16th December 1993 |
| Author: | Michael E Tarter, Michael D Lock |
| Publisher: | Chapman & Hall/CRC an imprint of Taylor and Francis |
| Format: | Hardback |
| Pagination: | 290 pages |
| Series: | Monographs on Statistics and Applied Probability |
| Genres: |
Probability and statistics |
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.
Model-Free Curve Estimation features in the following genres: Probability and statistics
Hardback. Not Available.
Model-Free Curve Estimation was written by Michael E Tarter, Michael D Lock and published by Chapman & Hall/CRC an imprint of Taylor and Francis
Model-Free Curve Estimation has 290 pages
Yes it is part of Monographs on Statistics and Applied Probability series