Applied nonparametric regression (Record no. 39921)

MARC details
000 -LEADER
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
Holdings
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
Reference Main Library Main Library Reference 20/10/2016 Purchased 6117.45 519.536 HAR 011327 Reference Books

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