Semiparametric Regression Paperback (Cambridge Series in Statistical and Probabilistic Mathematics)

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9780521785167: Semiparametric Regression Paperback (Cambridge Series in Statistical and Probabilistic Mathematics)

Assuming only a basic familiarity with ordinary parametric regression, this user-friendly 2003 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.

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'I would recommend this book to anyone interested in the field. it is very readable, informative without being heavy, and (excellent news) comes in a paperback version as well as hardback.' Publication of the International Statistical Institute

'I would recommend this book to anyone interested in the field. It is very readable, informative without being heavy, and (excellent news) comes in a paperback version as well as hardback.' Short Book Reviews

'This great book is the first one to remove barriers and to close gaps between advanced statistical methodology and applied research in various fields … I highly recommend this book … It provides a very readable access to modern semiparametric regression, demonstrates its potential in various applications, and is an inspiring source for new ideas. I enjoyed reading this book.' L. Fahrmeir, Ludwig Maximilian University Biometrics

'… contains clear presentations of new developments in the field and also the state of the art in classical methods … I found it an easily readable book; its coverage of material was extensive and well explained and well illustrated … I found the material useful and I recommend it strongly to anyone who is interested in modern nonparametric methods, whether they are expert or not … But here are 500-odd pages of good teaching material, nicely done, culminating in the arc-sine law and the Black-Scholes formula: anyone teaching probability would be glad to have it to hand.' The Journal of the Royal Statistical Society

'This book provides an extensive overview of techniques for semiparametric regression … I think it may be very useful for a more practically oriented audience.' Kwantitatieve Methoden

'… an easily readable book; its coverage of material was extensive and well explained and well illustrated … I recommend it strongly to anyone who is interested in modern nonparametric methods, whether they are expert or not.' Marian Scott, University of Glasgow Journal of the Royal Statistical Society

'… provides a great overview of semiparametric regression and it is a useful guide to practical semiparametric analyses using standard statistical software.' Metrika

'This book is a very nice book for data analysis and indicates how to flexibly develop and analyze complex models using penalized spline functions. The examples are nontrivial and very useful, but there are no attempts to develop an asymptotic theory.' Mathematical Reviews

Sinopsis:

Book by Ruppert David Wand M P Carroll R J

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1.

David Ruppert, M. P. Wand, Raymond J. Carroll
Editorial: CAMBRIDGE UNIVERSITY PRESS, United Kingdom (2003)
ISBN 10: 0521785162 ISBN 13: 9780521785167
Nuevos Paperback Cantidad: 1
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Descripción CAMBRIDGE UNIVERSITY PRESS, United Kingdom, 2003. Paperback. Estado de conservación: New. 251 x 178 mm. Language: English . Brand New Book. 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. Nº de ref. de la librería AAU9780521785167

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David Ruppert, M. P. Wand, R. J. Carroll
Editorial: Cambridge University Press 2003-07-14, Cambridge (2003)
ISBN 10: 0521785162 ISBN 13: 9780521785167
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Descripción Cambridge University Press 2003-07-14, Cambridge, 2003. paperback. Estado de conservación: New. Nº de ref. de la librería 9780521785167

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David Ruppert, M. P. Wand, Raymond J. Carroll
Editorial: CAMBRIDGE UNIVERSITY PRESS, United Kingdom (2003)
ISBN 10: 0521785162 ISBN 13: 9780521785167
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Descripción CAMBRIDGE UNIVERSITY PRESS, United Kingdom, 2003. Paperback. Estado de conservación: New. 251 x 178 mm. Language: English . Brand New Book. 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. Nº de ref. de la librería AAU9780521785167

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Ruppert, David, Wand, M. P., Carroll, R. J.
Editorial: Cambridge University Press (2003)
ISBN 10: 0521785162 ISBN 13: 9780521785167
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Descripción Cambridge University Press, 2003. Estado de conservación: New. This user-friendly 2003 book explains the techniques and benefits of semiparametric regression in a concise and modular fashion. Series Editor(s): Gill, R.; Ripley, Brian D.; Ross, S.; Silverman, B.W. (St Peter's College, Oxford); Stein, M. Series: Cambridge Series in Statistical and Probabilistic Mathematics. Num Pages: 404 pages, 82 b/w illus. BIC Classification: MBNS; PBT. Category: (P) Professional & Vocational; (U) Tertiary Education (US: College). Dimension: 252 x 176 x 18. Weight in Grams: 696. . 2003. 1st Edition. Paperback. . . . . . Nº de ref. de la librería V9780521785167

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David Ruppert, M. P. Wand, Raymond J. Carroll, R. Gill, Brian D. Ripley
Editorial: Cambridge University Press
ISBN 10: 0521785162 ISBN 13: 9780521785167
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Descripción Cambridge University Press. Paperback. Estado de conservación: new. BRAND NEW, Semiparametric Regression, David Ruppert, M. P. Wand, Raymond J. Carroll, R. Gill, Brian D. Ripley, 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. Nº de ref. de la librería B9780521785167

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Ruppert, David, Wand, M. P., Carroll, R. J.
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ISBN 10: 0521785162 ISBN 13: 9780521785167
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Descripción Cambridge University Press. Estado de conservación: New. This user-friendly 2003 book explains the techniques and benefits of semiparametric regression in a concise and modular fashion. Series Editor(s): Gill, R.; Ripley, Brian D.; Ross, S.; Silverman, B.W. (St Peter's College, Oxford); Stein, M. Series: Cambridge Series in Statistical and Probabilistic Mathematics. Num Pages: 404 pages, 82 b/w illus. BIC Classification: MBNS; PBT. Category: (P) Professional & Vocational; (U) Tertiary Education (US: College). Dimension: 252 x 176 x 18. Weight in Grams: 696. . 2003. 1st Edition. Paperback. . . . . Books ship from the US and Ireland. Nº de ref. de la librería V9780521785167

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Descripción Cambridge University Press, 2003. PAP. Estado de conservación: New. New Book. Shipped from UK in 4 to 14 days. Established seller since 2000. Nº de ref. de la librería BB-9780521785167

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Ruppert; Wand; Carroll
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Descripción Cambridge University Press, 2003. Estado de conservación: New. Nº de ref. de la librería EH9780521785167

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Descripción Cambridge University Press, 2003. PAP. Estado de conservación: New. New Book. Shipped from US within 10 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000. Nº de ref. de la librería IQ-9780521785167

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Descripción Cambridge University Press, 2003. PAP. Estado de conservación: New. New Book. Delivered from our UK warehouse in 3 to 5 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000. Nº de ref. de la librería LQ-9780521785167

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