Semiparametric regression /:
Semiparametric regression is concerned with the flexible incorporation of non-linear functional relationships in regression analyses. Any application area that benefits from regression analysis can also benefit from semiparametric regression. Assuming only a basic familiarity with ordinary parametri...
Gespeichert in:
Hauptverfasser: | , , |
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Format: | Elektronisch E-Book |
Sprache: | English |
Veröffentlicht: |
Cambridge ; New York :
Cambridge University Press,
2003.
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Schriftenreihe: | Cambridge series on statistical and probabilistic mathematics.
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Schlagworte: | |
Online-Zugang: | Volltext |
Zusammenfassung: | Semiparametric regression is concerned with the flexible incorporation of non-linear functional relationships in regression analyses. Any application area that benefits from regression analysis can also benefit from semiparametric regression. Assuming only a basic familiarity with ordinary parametric regression, this user-friendly book explains the techniques and benefits of semiparametric regression in a concise and modular fashion. The authors make liberal use of graphics and examples plus case studies taken from environmental, financial, and other applications. They include practical advice on implementation and pointers to relevant software. The 2003 book is suitable as a textbook for students with little background in regression as well as a reference book for statistically oriented scientists such as biostatisticians, econometricians, quantitative social scientists, epidemiologists, with a good working knowledge of regression and the desire to begin using more flexible semiparametric models. Even experts on semiparametric regression should find something new here. |
Beschreibung: | 1 online resource (xvi, 386 pages) : illustrations. |
Bibliographie: | Includes bibliographical references (pages 361-374) and indexes. |
ISBN: | 9780511066832 051106683X 9780511755453 0511755457 9780511203435 0511203438 9780511060526 0511060521 1107129028 9781107129023 1280417900 9781280417900 9786610417902 6610417903 0511179480 9780511179488 0511323794 9780511323799 0511068964 9780511068966 |
Internformat
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245 | 1 | 0 | |a Semiparametric regression / |c David Ruppert, Cornell University, M.P. Wand, Harvard University, R.J. Carroll, Texas A & M University. |
264 | 1 | |a Cambridge ; |a New York : |b Cambridge University Press, |c 2003. | |
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520 | |a Semiparametric regression is concerned with the flexible incorporation of non-linear functional relationships in regression analyses. Any application area that benefits from regression analysis can also benefit from semiparametric regression. Assuming only a basic familiarity with ordinary parametric regression, this user-friendly book explains the techniques and benefits of semiparametric regression in a concise and modular fashion. The authors make liberal use of graphics and examples plus case studies taken from environmental, financial, and other applications. They include practical advice on implementation and pointers to relevant software. The 2003 book is suitable as a textbook for students with little background in regression as well as a reference book for statistically oriented scientists such as biostatisticians, econometricians, quantitative social scientists, epidemiologists, with a good working knowledge of regression and the desire to begin using more flexible semiparametric models. Even experts on semiparametric regression should find something new here. | ||
504 | |a Includes bibliographical references (pages 361-374) and indexes. | ||
505 | 0 | |a Introduction -- Parametric regression -- Scatterplot smoothing -- Mixed models -- Automatic scatterplot smoothing -- Inference -- Simple semiparametric models -- Additive models -- Semiparametric mixed models -- Generalized parametric regression -- Generalized additive models -- Interaction models -- Bivariate smoothing -- Variance function estimation -- Measurement error -- Bayesian semiparametric regression -- Spatially adaptive smoothing -- Analyses -- Epilogue -- Technical complements -- Computational issues. | |
588 | 0 | |a Print version record. | |
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650 | 0 | |a Nonparametric statistics. |0 http://id.loc.gov/authorities/subjects/sh85092349 | |
650 | 6 | |a Analyse de régression. | |
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700 | 1 | |a Carroll, Raymond J., |e author. | |
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Datensatz im Suchindex
DE-BY-FWS_katkey | ZDB-4-EBA-ocm57204727 |
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adam_text | |
any_adam_object | |
author | Ruppert, David, 1948- Wand, M. P. (Matt P.) Carroll, Raymond J. |
author_GND | http://id.loc.gov/authorities/names/n82073618 http://id.loc.gov/authorities/names/nr95015863 |
author_facet | Ruppert, David, 1948- Wand, M. P. (Matt P.) Carroll, Raymond J. |
author_role | aut aut aut |
author_sort | Ruppert, David, 1948- |
author_variant | d r dr m p w mp mpw r j c rj rjc |
building | Verbundindex |
bvnumber | localFWS |
callnumber-first | Q - Science |
callnumber-label | QA278 |
callnumber-raw | QA278.2 .R87 2003eb |
callnumber-search | QA278.2 .R87 2003eb |
callnumber-sort | QA 3278.2 R87 42003EB |
callnumber-subject | QA - Mathematics |
collection | ZDB-4-EBA |
contents | Introduction -- Parametric regression -- Scatterplot smoothing -- Mixed models -- Automatic scatterplot smoothing -- Inference -- Simple semiparametric models -- Additive models -- Semiparametric mixed models -- Generalized parametric regression -- Generalized additive models -- Interaction models -- Bivariate smoothing -- Variance function estimation -- Measurement error -- Bayesian semiparametric regression -- Spatially adaptive smoothing -- Analyses -- Epilogue -- Technical complements -- Computational issues. |
ctrlnum | (OCoLC)57204727 |
dewey-full | 519.5/36 |
dewey-hundreds | 500 - Natural sciences and mathematics |
dewey-ones | 519 - Probabilities and applied mathematics |
dewey-raw | 519.5/36 |
dewey-search | 519.5/36 |
dewey-sort | 3519.5 236 |
dewey-tens | 510 - Mathematics |
discipline | Mathematik |
format | Electronic eBook |
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genre | Electronic books. |
genre_facet | Electronic books. |
id | ZDB-4-EBA-ocm57204727 |
illustrated | Illustrated |
indexdate | 2024-11-27T13:15:39Z |
institution | BVB |
isbn | 9780511066832 051106683X 9780511755453 0511755457 9780511203435 0511203438 9780511060526 0511060521 1107129028 9781107129023 1280417900 9781280417900 9786610417902 6610417903 0511179480 9780511179488 0511323794 9780511323799 0511068964 9780511068966 |
language | English |
oclc_num | 57204727 |
open_access_boolean | |
owner | MAIN DE-863 DE-BY-FWS |
owner_facet | MAIN DE-863 DE-BY-FWS |
physical | 1 online resource (xvi, 386 pages) : illustrations. |
psigel | ZDB-4-EBA |
publishDate | 2003 |
publishDateSearch | 2003 |
publishDateSort | 2003 |
publisher | Cambridge University Press, |
record_format | marc |
series | Cambridge series on statistical and probabilistic mathematics. |
series2 | Cambridge series in statistical and probabilistic mathematics |
spelling | Ruppert, David, 1948- author. https://id.oclc.org/worldcat/entity/E39PCjtwXdXWMy8jtDbJrH7q43 http://id.loc.gov/authorities/names/n82073618 Semiparametric regression / David Ruppert, Cornell University, M.P. Wand, Harvard University, R.J. Carroll, Texas A & M University. Cambridge ; New York : Cambridge University Press, 2003. ©2003 1 online resource (xvi, 386 pages) : illustrations. text txt rdacontent computer c rdamedia online resource cr rdacarrier Cambridge series in statistical and probabilistic mathematics Semiparametric regression is concerned with the flexible incorporation of non-linear functional relationships in regression analyses. Any application area that benefits from regression analysis can also benefit from semiparametric regression. Assuming only a basic familiarity with ordinary parametric regression, this user-friendly book explains the techniques and benefits of semiparametric regression in a concise and modular fashion. The authors make liberal use of graphics and examples plus case studies taken from environmental, financial, and other applications. They include practical advice on implementation and pointers to relevant software. The 2003 book is suitable as a textbook for students with little background in regression as well as a reference book for statistically oriented scientists such as biostatisticians, econometricians, quantitative social scientists, epidemiologists, with a good working knowledge of regression and the desire to begin using more flexible semiparametric models. Even experts on semiparametric regression should find something new here. Includes bibliographical references (pages 361-374) and indexes. Introduction -- Parametric regression -- Scatterplot smoothing -- Mixed models -- Automatic scatterplot smoothing -- Inference -- Simple semiparametric models -- Additive models -- Semiparametric mixed models -- Generalized parametric regression -- Generalized additive models -- Interaction models -- Bivariate smoothing -- Variance function estimation -- Measurement error -- Bayesian semiparametric regression -- Spatially adaptive smoothing -- Analyses -- Epilogue -- Technical complements -- Computational issues. Print version record. English. Regression analysis. http://id.loc.gov/authorities/subjects/sh85112392 Nonparametric statistics. http://id.loc.gov/authorities/subjects/sh85092349 Analyse de régression. Statistique non paramétrique. MATHEMATICS Probability & Statistics Regression Analysis. bisacsh Nonparametric statistics. cct Regression analysis. cct Nonparametric statistics fast Regression analysis fast Electronic books. Wand, M. P. (Matt P.), author. https://id.oclc.org/worldcat/entity/E39PBJpjgvQCCg6MGpx3XqgYfq http://id.loc.gov/authorities/names/nr95015863 Carroll, Raymond J., author. has work: Semiparametric regression (Text) https://id.oclc.org/worldcat/entity/E39PCGDqPW7WpHDTgv8dXP9Dhd https://id.oclc.org/worldcat/ontology/hasWork Print version: Ruppert, David, 1948- Semiparametric regression. Cambridge ; New York : Cambridge University Press, 2003 0521780500 0521785162 (DLC) 2002041460 (OCoLC)51222299 Cambridge series on statistical and probabilistic mathematics. http://id.loc.gov/authorities/names/n96064948 FWS01 ZDB-4-EBA FWS_PDA_EBA https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=120396 Volltext |
spellingShingle | Ruppert, David, 1948- Wand, M. P. (Matt P.) Carroll, Raymond J. Semiparametric regression / Cambridge series on statistical and probabilistic mathematics. Introduction -- Parametric regression -- Scatterplot smoothing -- Mixed models -- Automatic scatterplot smoothing -- Inference -- Simple semiparametric models -- Additive models -- Semiparametric mixed models -- Generalized parametric regression -- Generalized additive models -- Interaction models -- Bivariate smoothing -- Variance function estimation -- Measurement error -- Bayesian semiparametric regression -- Spatially adaptive smoothing -- Analyses -- Epilogue -- Technical complements -- Computational issues. Regression analysis. http://id.loc.gov/authorities/subjects/sh85112392 Nonparametric statistics. http://id.loc.gov/authorities/subjects/sh85092349 Analyse de régression. Statistique non paramétrique. MATHEMATICS Probability & Statistics Regression Analysis. bisacsh Nonparametric statistics. cct Regression analysis. cct Nonparametric statistics fast Regression analysis fast |
subject_GND | http://id.loc.gov/authorities/subjects/sh85112392 http://id.loc.gov/authorities/subjects/sh85092349 |
title | Semiparametric regression / |
title_auth | Semiparametric regression / |
title_exact_search | Semiparametric regression / |
title_full | Semiparametric regression / David Ruppert, Cornell University, M.P. Wand, Harvard University, R.J. Carroll, Texas A & M University. |
title_fullStr | Semiparametric regression / David Ruppert, Cornell University, M.P. Wand, Harvard University, R.J. Carroll, Texas A & M University. |
title_full_unstemmed | Semiparametric regression / David Ruppert, Cornell University, M.P. Wand, Harvard University, R.J. Carroll, Texas A & M University. |
title_short | Semiparametric regression / |
title_sort | semiparametric regression |
topic | Regression analysis. http://id.loc.gov/authorities/subjects/sh85112392 Nonparametric statistics. http://id.loc.gov/authorities/subjects/sh85092349 Analyse de régression. Statistique non paramétrique. MATHEMATICS Probability & Statistics Regression Analysis. bisacsh Nonparametric statistics. cct Regression analysis. cct Nonparametric statistics fast Regression analysis fast |
topic_facet | Regression analysis. Nonparametric statistics. Analyse de régression. Statistique non paramétrique. MATHEMATICS Probability & Statistics Regression Analysis. Nonparametric statistics Regression analysis Electronic books. |
url | https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=120396 |
work_keys_str_mv | AT ruppertdavid semiparametricregression AT wandmp semiparametricregression AT carrollraymondj semiparametricregression |