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Ajouter au panierEtat : Used: Acceptable. Occasion - Etat Correct - Semiparametric regression (2003) - Grand Format.
Edité par Cambridge University Press, 2003
ISBN 10 : 0521785162 ISBN 13 : 9780521785167
Langue: anglais
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ISBN 10 : 0521785162 ISBN 13 : 9780521785167
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Edité par Cambridge University Press CUP, 2003
ISBN 10 : 0521785162 ISBN 13 : 9780521785167
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Edité par Cambridge University Press, 2003
ISBN 10 : 0521785162 ISBN 13 : 9780521785167
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Edité par Cambridge University Press, 2003
ISBN 10 : 0521785162 ISBN 13 : 9780521785167
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Edité par Cambridge University Press, 2003
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Edité par Cambridge University Press, 2003
ISBN 10 : 0521785162 ISBN 13 : 9780521785167
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Edité par Cambridge University Press, 2003
ISBN 10 : 0521785162 ISBN 13 : 9780521785167
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Edité par Cambridge University Press, 2003
ISBN 10 : 0521785162 ISBN 13 : 9780521785167
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Edité par Cambridge University Press, 2003
ISBN 10 : 0521785162 ISBN 13 : 9780521785167
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Edité par Cambridge University Press, 2003
ISBN 10 : 0521785162 ISBN 13 : 9780521785167
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Edité par Cambridge University Press, Cambridge, 2003
ISBN 10 : 0521785162 ISBN 13 : 9780521785167
Langue: anglais
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Ajouter au panierPaperback. Etat : new. Paperback. Science abounds with problems where the data are noisy and the answer is not a straight line. Semiparametric regression analysis helps make sense of such data in application areas that include engineering, finance, medicine and public health. The book is geared towards researchers and professionals with little background in regression as well as statistically oriented scientists (biostatisticians, econometricians, quantitative social scientists, and epidemiologists) with knowledge of regression and the desire to begin using more flexible semiparametric models. Author resource page: / carroll/semiregbook/ Science abounds with problems where the data are noisy and the answer is not a straight line. Semiparametric regression analysis helps make sense of such data in application areas that include engineering, finance, medicine and public health. The book is geared towards researchers and professionals with little background in regression as well as statistically oriented scientists (biostatisticians, econometricians, quantitative social scientists, and epidemiologists) with knowledge of regression and the desire to begin using more flexible semiparametric models. Author resource page: ~carroll/semiregbook/ Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
Edité par Cambridge University Press, 2003
ISBN 10 : 0521785162 ISBN 13 : 9780521785167
Langue: anglais
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Ajouter au panierTaschenbuch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - Science abounds with problems where the data are noisy and the answer is not a straight line. Semiparametric regression analysis helps make sense of such data in application areas that include engineering, finance, medicine and public health. The book is geared towards researchers and professionals with little background in regression as well as statistically oriented scientists (biostatisticians, econometricians, quantitative social scientists, and epidemiologists) with knowledge of regression and the desire to begin using more flexible semiparametric models.
Edité par Cambridge University Press, Cambridge, 2003
ISBN 10 : 0521785162 ISBN 13 : 9780521785167
Langue: anglais
Vendeur : AussieBookSeller, Truganina, VIC, Australie
Edition originale
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Ajouter au panierPaperback. Etat : new. Paperback. Science abounds with problems where the data are noisy and the answer is not a straight line. Semiparametric regression analysis helps make sense of such data in application areas that include engineering, finance, medicine and public health. The book is geared towards researchers and professionals with little background in regression as well as statistically oriented scientists (biostatisticians, econometricians, quantitative social scientists, and epidemiologists) with knowledge of regression and the desire to begin using more flexible semiparametric models. Author resource page: / carroll/semiregbook/ Science abounds with problems where the data are noisy and the answer is not a straight line. Semiparametric regression analysis helps make sense of such data in application areas that include engineering, finance, medicine and public health. The book is geared towards researchers and professionals with little background in regression as well as statistically oriented scientists (biostatisticians, econometricians, quantitative social scientists, and epidemiologists) with knowledge of regression and the desire to begin using more flexible semiparametric models. Author resource page: ~carroll/semiregbook/ Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
Edité par Cambridge University Press, 2003
ISBN 10 : 0521785162 ISBN 13 : 9780521785167
Langue: anglais
Vendeur : Lucky's Textbooks, Dallas, TX, Etats-Unis
EUR 63,16
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Ajouter au panierEtat : New.
Edité par Cambridge University Press, 2003
ISBN 10 : 0521785162 ISBN 13 : 9780521785167
Langue: anglais
Vendeur : BennettBooksLtd, San Diego, NV, Etats-Unis
EUR 102,86
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Ajouter au panierpaperback. Etat : New. In shrink wrap. Looks like an interesting title!
Edité par Cambridge University Press, Cambridge, 2003
ISBN 10 : 0521785162 ISBN 13 : 9780521785167
Langue: anglais
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Edition originale
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Ajouter au panierPaperback. Etat : new. Paperback. Science abounds with problems where the data are noisy and the answer is not a straight line. Semiparametric regression analysis helps make sense of such data in application areas that include engineering, finance, medicine and public health. The book is geared towards researchers and professionals with little background in regression as well as statistically oriented scientists (biostatisticians, econometricians, quantitative social scientists, and epidemiologists) with knowledge of regression and the desire to begin using more flexible semiparametric models. Author resource page: / carroll/semiregbook/ Science abounds with problems where the data are noisy and the answer is not a straight line. Semiparametric regression analysis helps make sense of such data in application areas that include engineering, finance, medicine and public health. The book is geared towards researchers and professionals with little background in regression as well as statistically oriented scientists (biostatisticians, econometricians, quantitative social scientists, and epidemiologists) with knowledge of regression and the desire to begin using more flexible semiparametric models. Author resource page: ~carroll/semiregbook/ Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Vendeur : Revaluation Books, Exeter, Royaume-Uni
EUR 63,17
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Ajouter au panierPaperback. Etat : Brand New. 1st edition. 386 pages. 9.75x6.75x0.75 inches. In Stock. This item is printed on demand.
Edité par Cambridge University Press, 2003
ISBN 10 : 0521785162 ISBN 13 : 9780521785167
Langue: anglais
Vendeur : Majestic Books, Hounslow, Royaume-Uni
EUR 66,06
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Ajouter au panierEtat : New. Print on Demand pp. 404 82 Illus.
Edité par Cambridge University Press, 2003
ISBN 10 : 0521785162 ISBN 13 : 9780521785167
Langue: anglais
Vendeur : THE SAINT BOOKSTORE, Southport, Royaume-Uni
EUR 66,99
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Ajouter au panierPaperback / softback. Etat : New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days 717.
Edité par Cambridge University Press, 2003
ISBN 10 : 0521785162 ISBN 13 : 9780521785167
Langue: anglais
Vendeur : Biblios, Frankfurt am main, HESSE, Allemagne
EUR 67,25
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Ajouter au panierEtat : New. PRINT ON DEMAND pp. 404 Epilogue.
Edité par Cambridge University Press, 2010
ISBN 10 : 0521785162 ISBN 13 : 9780521785167
Langue: anglais
Vendeur : moluna, Greven, Allemagne
EUR 72,40
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Ajouter au panierEtat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. This user-friendly 2003 book explains the techniques and benefits of semiparametric regression in a concise and modular fashion.Inhaltsverzeichnis1. Introduction 2. Parametric regression 3. Scatterplot smoothing 4. Mixed models 5.