Smoothing Techniques: With Implementation in S
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
New York, NY
Springer New York
1991
|
| Schriftenreihe: | Springer Series in Statistics
|
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Beschreibung: | The author has attempted to present a book that provides a non-technical introduction into the area of non-parametric density and regression function estimation. The application of these methods is discussed in terms of the S computing environment. Smoothing in high dimensions faces the problem of data sparseness. A principal feature of smoothing, the averaging of data points in a prescribed neighborhood, is not really practicable in dimensions greater than three if we have just one hundred data points. Additive models provide a way out of this dilemma; but, for their interactiveness and recursiveness, they require highly effective algorithms. For this purpose, the method of WARPing (Weighted Averaging using Rounded Points) is described in great detail |
| Beschreibung: | 1 Online-Ressource (XII, 262 p) |
| ISBN: | 9781461244325 9781461287681 |
| ISSN: | 0172-7397 |
| DOI: | 10.1007/978-1-4612-4432-5 |
Internformat
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Datensatz im Suchindex
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| author | Härdle, Wolfgang |
| author_facet | Härdle, Wolfgang |
| author_role | aut |
| author_sort | Härdle, Wolfgang |
| author_variant | w h wh |
| building | Verbundindex |
| bvnumber | BV042420289 |
| classification_tum | MAT 000 |
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| dewey-full | 519.5 |
| dewey-hundreds | 500 - Natural sciences and mathematics |
| dewey-ones | 519 - Probabilities and applied mathematics |
| dewey-raw | 519.5 |
| dewey-search | 519.5 |
| dewey-sort | 3519.5 |
| dewey-tens | 510 - Mathematics |
| discipline | Mathematik |
| doi_str_mv | 10.1007/978-1-4612-4432-5 |
| format | Electronic eBook |
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| illustrated | Not Illustrated |
| indexdate | 2024-07-10T01:21:06Z |
| institution | BVB |
| isbn | 9781461244325 9781461287681 |
| issn | 0172-7397 |
| language | English |
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| physical | 1 Online-Ressource (XII, 262 p) |
| psigel | ZDB-2-SMA ZDB-2-BAE ZDB-2-SMA_Archive |
| publishDate | 1991 |
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| publisher | Springer New York |
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| series2 | Springer Series in Statistics |
| spelling | Härdle, Wolfgang Verfasser aut Smoothing Techniques With Implementation in S by Wolfgang Härdle New York, NY Springer New York 1991 1 Online-Ressource (XII, 262 p) txt rdacontent c rdamedia cr rdacarrier Springer Series in Statistics 0172-7397 The author has attempted to present a book that provides a non-technical introduction into the area of non-parametric density and regression function estimation. The application of these methods is discussed in terms of the S computing environment. Smoothing in high dimensions faces the problem of data sparseness. A principal feature of smoothing, the averaging of data points in a prescribed neighborhood, is not really practicable in dimensions greater than three if we have just one hundred data points. Additive models provide a way out of this dilemma; but, for their interactiveness and recursiveness, they require highly effective algorithms. For this purpose, the method of WARPing (Weighted Averaging using Rounded Points) is described in great detail Statistics Statistics, general Statistik Glättung (DE-588)4157404-7 gnd rswk-swf S Programmiersprache (DE-588)4234472-4 gnd rswk-swf Programm (DE-588)4047394-6 gnd rswk-swf Schätztheorie (DE-588)4121608-8 gnd rswk-swf Exponential smoothing (DE-588)4153384-7 gnd rswk-swf Glättung (DE-588)4157404-7 s S Programmiersprache (DE-588)4234472-4 s Programm (DE-588)4047394-6 s 1\p DE-604 Exponential smoothing (DE-588)4153384-7 s 2\p DE-604 Schätztheorie (DE-588)4121608-8 s 3\p DE-604 https://doi.org/10.1007/978-1-4612-4432-5 Verlag Volltext 1\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk 2\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk 3\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk |
| spellingShingle | Härdle, Wolfgang Smoothing Techniques With Implementation in S Statistics Statistics, general Statistik Glättung (DE-588)4157404-7 gnd S Programmiersprache (DE-588)4234472-4 gnd Programm (DE-588)4047394-6 gnd Schätztheorie (DE-588)4121608-8 gnd Exponential smoothing (DE-588)4153384-7 gnd |
| subject_GND | (DE-588)4157404-7 (DE-588)4234472-4 (DE-588)4047394-6 (DE-588)4121608-8 (DE-588)4153384-7 |
| title | Smoothing Techniques With Implementation in S |
| title_auth | Smoothing Techniques With Implementation in S |
| title_exact_search | Smoothing Techniques With Implementation in S |
| title_full | Smoothing Techniques With Implementation in S by Wolfgang Härdle |
| title_fullStr | Smoothing Techniques With Implementation in S by Wolfgang Härdle |
| title_full_unstemmed | Smoothing Techniques With Implementation in S by Wolfgang Härdle |
| title_short | Smoothing Techniques |
| title_sort | smoothing techniques with implementation in s |
| title_sub | With Implementation in S |
| topic | Statistics Statistics, general Statistik Glättung (DE-588)4157404-7 gnd S Programmiersprache (DE-588)4234472-4 gnd Programm (DE-588)4047394-6 gnd Schätztheorie (DE-588)4121608-8 gnd Exponential smoothing (DE-588)4153384-7 gnd |
| topic_facet | Statistics Statistics, general Statistik Glättung S Programmiersprache Programm Schätztheorie Exponential smoothing |
| url | https://doi.org/10.1007/978-1-4612-4432-5 |
| work_keys_str_mv | AT hardlewolfgang smoothingtechniqueswithimplementationins |