An introduction to the advanced theory of nonparametric econometrics: a replicable approach using R
"An Introduction to the Advanced Theory of Nonparametric Econometrics Interest in nonparametric methodology has grown considerably over the past few decades, stemming in part from vast improvements in computer hardware and the availability of new software that allows practitioners to take full...
Saved in:
| Main Author: | |
|---|---|
| Format: | Electronic eBook |
| Language: | English |
| Published: |
Cambridge, United Kingdom ; New York, NY, USA
Cambridge University Press
2019
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| Subjects: | |
| Online Access: | BSB01 EUV01 FHN01 UBA01 UBG01 Volltext |
| Summary: | "An Introduction to the Advanced Theory of Nonparametric Econometrics Interest in nonparametric methodology has grown considerably over the past few decades, stemming in part from vast improvements in computer hardware and the availability of new software that allows practitioners to take full advantage of these numerically intensive methods. This book is written for advanced undergraduate students, intermediate graduate students, and faculty, and provides a complete teaching and learning course at a more accessible level of theoretical rigor than Racine's earlier book co-authored with Qi Li, Nonparametric Econometrics: Theory and Practice (2007). The open source R platform for statistical computing and graphics is used throughout in conjunction with the R package np. Recent developments in reproducible research is emphasized throughout with appendices devoted to helping the reader get up to speed with R, R Markdown, TeX and Git"-- |
| Physical Description: | 1 Online-Ressource (xxvi, 408 Seiten) Illustrationen |
| ISBN: | 9781108649841 110864984X |
| DOI: | 10.1017/9781108649841 |
Staff View
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| contents | Discrete probability and cumulative probability functions -- Continuous density and cumulative distribution functions -- Mixed-data probability density and cumulative distribution functions -- Conditional probability density and cumulative distribution functions -- Conditional moment functions -- Conditional mean function estimation -- Conditional mean function estimation with endogenous predictors -- Semiparametric conditional mean function estimation -- Conditional variance function estimation |
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| illustrated | Not Illustrated |
| indexdate | 2024-07-10T08:30:00Z |
| institution | BVB |
| isbn | 9781108649841 110864984X |
| language | English |
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| physical | 1 Online-Ressource (xxvi, 408 Seiten) Illustrationen |
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| publishDate | 2019 |
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| spelling | Racine, Jeffrey 1962- Verfasser (DE-588)133144720 aut An introduction to the advanced theory of nonparametric econometrics a replicable approach using R Jeffrey S. Racine (McMaster University, Ontario) The advanced theory of nonparametric econometrics Cambridge, United Kingdom ; New York, NY, USA Cambridge University Press 2019 1 Online-Ressource (xxvi, 408 Seiten) Illustrationen txt rdacontent c rdamedia cr rdacarrier Discrete probability and cumulative probability functions -- Continuous density and cumulative distribution functions -- Mixed-data probability density and cumulative distribution functions -- Conditional probability density and cumulative distribution functions -- Conditional moment functions -- Conditional mean function estimation -- Conditional mean function estimation with endogenous predictors -- Semiparametric conditional mean function estimation -- Conditional variance function estimation "An Introduction to the Advanced Theory of Nonparametric Econometrics Interest in nonparametric methodology has grown considerably over the past few decades, stemming in part from vast improvements in computer hardware and the availability of new software that allows practitioners to take full advantage of these numerically intensive methods. This book is written for advanced undergraduate students, intermediate graduate students, and faculty, and provides a complete teaching and learning course at a more accessible level of theoretical rigor than Racine's earlier book co-authored with Qi Li, Nonparametric Econometrics: Theory and Practice (2007). The open source R platform for statistical computing and graphics is used throughout in conjunction with the R package np. Recent developments in reproducible research is emphasized throughout with appendices devoted to helping the reader get up to speed with R, R Markdown, TeX and Git"-- Nichtparametrisches Verfahren (DE-588)4339273-8 gnd rswk-swf Theorie (DE-588)4059787-8 gnd rswk-swf Ökonometrie (DE-588)4132280-0 gnd rswk-swf Econometrics Nonparametric statistics R (Computer program language) Electronic books Nichtparametrisches Verfahren (DE-588)4339273-8 s Theorie (DE-588)4059787-8 s Ökonometrie (DE-588)4132280-0 s DE-604 Erscheint auch als Druck-Ausgabe, hardback 978-1-108-48340-7 https://doi.org/10.1017/9781108649841 Verlag URL des Erstveröffentlichers Volltext |
| spellingShingle | Racine, Jeffrey 1962- An introduction to the advanced theory of nonparametric econometrics a replicable approach using R Discrete probability and cumulative probability functions -- Continuous density and cumulative distribution functions -- Mixed-data probability density and cumulative distribution functions -- Conditional probability density and cumulative distribution functions -- Conditional moment functions -- Conditional mean function estimation -- Conditional mean function estimation with endogenous predictors -- Semiparametric conditional mean function estimation -- Conditional variance function estimation Nichtparametrisches Verfahren (DE-588)4339273-8 gnd Theorie (DE-588)4059787-8 gnd Ökonometrie (DE-588)4132280-0 gnd |
| subject_GND | (DE-588)4339273-8 (DE-588)4059787-8 (DE-588)4132280-0 |
| title | An introduction to the advanced theory of nonparametric econometrics a replicable approach using R |
| title_alt | The advanced theory of nonparametric econometrics |
| title_auth | An introduction to the advanced theory of nonparametric econometrics a replicable approach using R |
| title_exact_search | An introduction to the advanced theory of nonparametric econometrics a replicable approach using R |
| title_full | An introduction to the advanced theory of nonparametric econometrics a replicable approach using R Jeffrey S. Racine (McMaster University, Ontario) |
| title_fullStr | An introduction to the advanced theory of nonparametric econometrics a replicable approach using R Jeffrey S. Racine (McMaster University, Ontario) |
| title_full_unstemmed | An introduction to the advanced theory of nonparametric econometrics a replicable approach using R Jeffrey S. Racine (McMaster University, Ontario) |
| title_short | An introduction to the advanced theory of nonparametric econometrics |
| title_sort | an introduction to the advanced theory of nonparametric econometrics a replicable approach using r |
| title_sub | a replicable approach using R |
| topic | Nichtparametrisches Verfahren (DE-588)4339273-8 gnd Theorie (DE-588)4059787-8 gnd Ökonometrie (DE-588)4132280-0 gnd |
| topic_facet | Nichtparametrisches Verfahren Theorie Ökonometrie |
| url | https://doi.org/10.1017/9781108649841 |
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