| Description |
1 online resource : text file, PDF |
| Series |
Statistics, textbooks and monographs ; Volume 157 |
|
Statistics, textbooks and monographs ; Volume 157.
|
| Contents |
880-01 What is a good estimator?; series estimators; kernel estimators; smoothing splines; least-square splines |
|
880-01/(S 4.8 Asymptotic Distribution Theory4.9 Partially Linear Models; 4.10 Random t's; 4.11 Extensions; 4.12 Exercises; 5 Smoothing Splines; 5.1 Introduction; 5.2 Form of the Estimator; 5.3 Selection of λ; 5.4 Computation; 5.5 Large Sample Properties; 5.6 Smoothing Splines as Bayes Estimators; 5. 7 Extensions; 5.8 Appendix; 5.9 Exercises; 6 Least-Squares Splines; 6.1 Introduction; 6.2 Form of the Estimator; 6.3 Selecting λ; 6.4 Computational Considerations; 6.5 Asymptotic Analysis; 6.6 Extensions; 6. 7 Exercises; Bibliography; Index |
| Summary |
"Provides a unified account of the most popular approaches to nonparametric regression smoothing. This edition contains discussions of boundary corrections for trigonometric series estimators; detailed asymptotics for polynomial regression; testing goodness-of-fit; estimation in partially linear models; practical aspects, problems and methods for confidence intervals and bands; local polynomial regression; and form and asymptotic properties of linear smoothing splines."--Provided by publisher |
| Bibliography |
Includes bibliographical references (pages 311-334) and index |
| Subject |
Mathematical statistics.
|
|
Mathematical physics.
|
|
Mechanics, Applied.
|
|
Mathematical physics
|
|
Mathematical statistics
|
|
Mechanics, Applied
|
| Form |
Electronic book
|
| ISBN |
9781482273144 |
|
1482273144 |
|
