Applied nonparametric regression (Record no. 39921)
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000 -LEADER | |
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fixed length control field | 01916nam a2200217 a 4500 |
020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
ISBN | 9780521429504 |
020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
ISBN | 0521429501 |
020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
ISBN | 9780521382489 |
020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
ISBN | 0521382483 |
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER | |
Classification number | 519.536 |
Item number | HAR |
100 ## - MAIN ENTRY--AUTHOR NAME | |
Personal name | Hardle,Wolfgang |
245 ## - TITLE STATEMENT | |
Title | Applied nonparametric regression |
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) | |
Place of publication | Cambridge, U.K. : |
Name of publisher | Cambridge University Press, |
Year of publication | 1991 |
300 ## - PHYSICAL DESCRIPTION | |
Number of Pages | xv, 333 pages : |
Other physical details | illustrations ; |
490 ## - SERIES STATEMENT | |
Series statement | Econometric Society monographs, no. 19. |
500 ## - GENERAL NOTE | |
General note | Includes Index |
505 ## - FORMATTED CONTENTS NOTE | |
Formatted contents note | Preface; Part I. Regression Smoothing: 1. Introduction; 2. Basic idea of smoothing 3. Smoothing techniques; Part II. The Kernel Method: 4. How close is the smooth to the true curve?; 5. Choosing the smoothing parameter; 6. Data sets with outliers; 7. Smoothing with correlated data; 8. Looking for special features (qualitative smoothing); 9. Incorporating parametric components and alternatives; Part III. Smoothing in High Dimensions: 10. Investigating multiple regression by additive models; Appendices; References; List of symbols and notation. |
520 ## - SUMMARY, ETC. | |
Summary, etc | Applied Nonparametric Regression brings together in one place the techniques for regression curve smoothing involving more than one variable. The computer and the development of interactive graphics programs has made curve estimation popular. This volume focuses on the applications and practical problems of two central aspects of curve smoothing: the choice of smoothing parameters and the construction of confidence bounds. The methods covered in this text have numerous applications in many areas using statistical analysis. Examples are drawn from economics--such as the estimation of Engel curves--as well as other disciplines including medicine and engineering. For practical applications of these methods a computing environment for exploratory Regression--XploRe--is described. |
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
Topical Term | Regression analysis. |
942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
Koha item type | Reference Books |
Collection code | Home library | Current library | Shelving location | Date acquired | Source of acquisition | Cost, normal purchase price | Full call number | Accession Number | Koha item type |
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Reference | Main Library | Main Library | Reference | 20/10/2016 | Purchased | 6117.45 | 519.536 HAR | 011327 | Reference Books |