Applied smoothing techniques for data analysis: the kernel approach with S-Plus illustrations
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Oxford
Clarendon Press
1997
|
| Schriftenreihe: | Oxford statistical science series
18 Oxford science publications |
| Schlagworte: | |
| Online-Zugang: | FAW01 FAW02 Volltext |
| Beschreibung: | Includes bibliographical references (pages 175-186) and indexes The book describes the use of smoothing techniques in statistics, including both density estimation and nonparametric regression. Considerable advances in research in this area have been made in recent years. The aim of this text is to describe a variety of ways in which these methods can be applied to practical problems in statistics. The role of smoothing techniques in exploring data graphically is emphasised, but the use of nonparametric curves in drawing conclusions from data, as an extension of more standard parametric models, is also a major focus of the book. Examples are drawn from a wide range of applications. The book is intended for those who seek an introduction to the area, with an emphasis on applications rather than on detailed theory. It is therefore expected that the book will benefit those attending courses at an advanced undergraduate, or postgraduate, level, as well as researchers, both from statistics and from other disciplines, who wish to learn about and apply these techniques in practical data analysis. The text makes extensive reference to S-Plus, as a computing environment in which examples can be explored.; S-Plus functions and example scripts are provided to implement many of the techniques described. These parts are, however, clearly separate from the main body of text, and can therefore easily be skipped by readers not interested in S-Plus |
| Beschreibung: | 1 Online-Ressource (xi, 193 pages) |
| ISBN: | 0585484104 128037523X 9780585484105 9781280375231 |
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| 245 | 1 | 0 | |a Applied smoothing techniques for data analysis |b the kernel approach with S-Plus illustrations |c Adrian W. Bowman and Adelchi Azzalini |
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Datensatz im Suchindex
| _version_ | 1804175461778980864 |
|---|---|
| any_adam_object | |
| author | Bowman, A. W. |
| author_facet | Bowman, A. W. |
| author_role | aut |
| author_sort | Bowman, A. W. |
| author_variant | a w b aw awb |
| building | Verbundindex |
| bvnumber | BV043074986 |
| collection | ZDB-4-EBA |
| ctrlnum | (OCoLC)53956470 (DE-599)BVBBV043074986 |
| 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 |
| format | Electronic eBook |
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| id | DE-604.BV043074986 |
| illustrated | Not Illustrated |
| indexdate | 2024-07-10T07:16:40Z |
| institution | BVB |
| isbn | 0585484104 128037523X 9780585484105 9781280375231 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-028499178 |
| oclc_num | 53956470 |
| open_access_boolean | |
| owner | DE-1046 DE-1047 |
| owner_facet | DE-1046 DE-1047 |
| physical | 1 Online-Ressource (xi, 193 pages) |
| psigel | ZDB-4-EBA ZDB-4-EBA FAW_PDA_EBA |
| publishDate | 1997 |
| publishDateSearch | 1997 |
| publishDateSort | 1997 |
| publisher | Clarendon Press |
| record_format | marc |
| series2 | Oxford statistical science series Oxford science publications |
| spelling | Bowman, A. W. Verfasser aut Applied smoothing techniques for data analysis the kernel approach with S-Plus illustrations Adrian W. Bowman and Adelchi Azzalini Oxford Clarendon Press 1997 1 Online-Ressource (xi, 193 pages) txt rdacontent c rdamedia cr rdacarrier Oxford statistical science series 18 Oxford science publications Includes bibliographical references (pages 175-186) and indexes The book describes the use of smoothing techniques in statistics, including both density estimation and nonparametric regression. Considerable advances in research in this area have been made in recent years. The aim of this text is to describe a variety of ways in which these methods can be applied to practical problems in statistics. The role of smoothing techniques in exploring data graphically is emphasised, but the use of nonparametric curves in drawing conclusions from data, as an extension of more standard parametric models, is also a major focus of the book. Examples are drawn from a wide range of applications. The book is intended for those who seek an introduction to the area, with an emphasis on applications rather than on detailed theory. It is therefore expected that the book will benefit those attending courses at an advanced undergraduate, or postgraduate, level, as well as researchers, both from statistics and from other disciplines, who wish to learn about and apply these techniques in practical data analysis. The text makes extensive reference to S-Plus, as a computing environment in which examples can be explored.; S-Plus functions and example scripts are provided to implement many of the techniques described. These parts are, however, clearly separate from the main body of text, and can therefore easily be skipped by readers not interested in S-Plus Lissage (Statistique) MATHEMATICS / Probability & Statistics / General bisacsh Smoothing (Statistics) fast Data-analyse gtt Smoothing larpcal Estimação de densidades larpcal Inferência estatística larpcal Datenanalyse swd Glättung swd Nichtparametrische Schätzung swd Smoothing (Statistics) Datenanalyse (DE-588)4123037-1 gnd rswk-swf Nichtparametrische Schätzung (DE-588)4203980-0 gnd rswk-swf Glättung (DE-588)4157404-7 gnd rswk-swf Glättung (DE-588)4157404-7 s Nichtparametrische Schätzung (DE-588)4203980-0 s 1\p DE-604 Datenanalyse (DE-588)4123037-1 s 2\p DE-604 Azzalini, Adelchi Sonstige oth http://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&db=nlabk&AN=98437 Aggregator 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 |
| spellingShingle | Bowman, A. W. Applied smoothing techniques for data analysis the kernel approach with S-Plus illustrations Lissage (Statistique) MATHEMATICS / Probability & Statistics / General bisacsh Smoothing (Statistics) fast Data-analyse gtt Smoothing larpcal Estimação de densidades larpcal Inferência estatística larpcal Datenanalyse swd Glättung swd Nichtparametrische Schätzung swd Smoothing (Statistics) Datenanalyse (DE-588)4123037-1 gnd Nichtparametrische Schätzung (DE-588)4203980-0 gnd Glättung (DE-588)4157404-7 gnd |
| subject_GND | (DE-588)4123037-1 (DE-588)4203980-0 (DE-588)4157404-7 |
| title | Applied smoothing techniques for data analysis the kernel approach with S-Plus illustrations |
| title_auth | Applied smoothing techniques for data analysis the kernel approach with S-Plus illustrations |
| title_exact_search | Applied smoothing techniques for data analysis the kernel approach with S-Plus illustrations |
| title_full | Applied smoothing techniques for data analysis the kernel approach with S-Plus illustrations Adrian W. Bowman and Adelchi Azzalini |
| title_fullStr | Applied smoothing techniques for data analysis the kernel approach with S-Plus illustrations Adrian W. Bowman and Adelchi Azzalini |
| title_full_unstemmed | Applied smoothing techniques for data analysis the kernel approach with S-Plus illustrations Adrian W. Bowman and Adelchi Azzalini |
| title_short | Applied smoothing techniques for data analysis |
| title_sort | applied smoothing techniques for data analysis the kernel approach with s plus illustrations |
| title_sub | the kernel approach with S-Plus illustrations |
| topic | Lissage (Statistique) MATHEMATICS / Probability & Statistics / General bisacsh Smoothing (Statistics) fast Data-analyse gtt Smoothing larpcal Estimação de densidades larpcal Inferência estatística larpcal Datenanalyse swd Glättung swd Nichtparametrische Schätzung swd Smoothing (Statistics) Datenanalyse (DE-588)4123037-1 gnd Nichtparametrische Schätzung (DE-588)4203980-0 gnd Glättung (DE-588)4157404-7 gnd |
| topic_facet | Lissage (Statistique) MATHEMATICS / Probability & Statistics / General Smoothing (Statistics) Data-analyse Smoothing Estimação de densidades Inferência estatística Datenanalyse Glättung Nichtparametrische Schätzung |
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