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Logistic Regression with Missing Values in the Covariates: 86 (Lecture Notes in Statistics, 86) - Tapa blanda
Sinopsis
In many areas of science a basic task is to assess the influence of several factors on a quantity of interest. If this quantity is binary logistic, regression models provide a powerful tool for this purpose. This monograph presents an account of the use of logistic regression in the case where missing values in the variables prevent the use of standard techniques. Such situations occur frequently across a wide range of statistical applications.
The emphasis of this book is on methods related to the classical maximum likelihood principle. The author reviews the essentials of logistic regression and discusses the variety of mechanisms which might cause missing values while the rest of the book covers the methods which may be used to deal with missing values and their effectiveness. Researchers across a range of disciplines and graduate students in statistics and biostatistics will find this a readable account of this.
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In many areas of science a basic task is to assess the influence of several factors on a quantity of interest. If this quantity is binary logistic, regression models provide a powerful tool for this purpose. This monograph presents an account of the use of logistic regression in the case where missing values in the variables prevent the use of standard techniques. Such situations occur frequently across a wide range of statistical applications.
The emphasis of this book is on methods related to the classical maximum likelihood principle. The author reviews the essentials of logistic regression and discusses the variety of mechanisms which might cause missing values while the rest of the book covers the methods which may be used to deal with missing values and their effectiveness. Researchers across a range of disciplines and graduate students in statistics and biostatistics will find this a readable account of this.
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Logistic Regression with Missing Values in the Covariates (Lecture Notes in Statistics)
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Springer New York, 1994
ISBN 10: 0387942637
ISBN 13: 9780387942636
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Librería: NEPO UG, Rüsselsheim am Main, Alemania
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Condición: Sehr gut. 158 Seiten nice ex library book Sprache: Englisch Gewicht in Gramm: 356 21,4 x 14,9 x 1,9 cm, Taschenbuch Auflage: Softcover reprint of the original 1st ed. 1994. Nº de ref. del artículo: 344220
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Logistic Regression with Missing Values in the Covariates (Lecture Notes in Statistics, 86)
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Logistic Regression with Missing Values in the Covariates
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Springer New York, 1994
ISBN 10: 0387942637
ISBN 13: 9780387942636
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Kartoniert / Broschiert. Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. In many areas of science a basic task is to assess the influence of several factors on a quantity of interest. If this quantity is binary logistic, regression models provide a powerful tool for this purpose. This monograph presents an account of the use of . Nº de ref. del artículo: 5911942
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Logistic Regression with Missing Values in the Covariates
Publicado por
Springer New York, Springer US, 1994
ISBN 10: 0387942637
ISBN 13: 9780387942636
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Librería: AHA-BUCH GmbH, Einbeck, Alemania
Calificación del vendedor: 5 de 5 estrellas
Taschenbuch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - In many areas of science a basic task is to assess the influence of several factors on a quantity of interest. If this quantity is binary logistic, regression models provide a powerful tool for this purpose. This monograph presents an account of the use of logistic regression in the case where missing values in the variables prevent the use of standard techniques. Such situations occur frequently across a wide range of statistical applications. The emphasis of this book is on methods related to the classical maximum likelihood principle. The author reviews the essentials of logistic regression and discusses the variety of mechanisms which might cause missing values while the rest of the book covers the methods which may be used to deal with missing values and their effectiveness. Researchers across a range of disciplines and graduate students in statistics and biostatistics will find this a readable account of this. Nº de ref. del artículo: 9780387942636
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Logistic Regression with Missing Values in the Covariates
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Springer-Verlag New York Inc., 1994
ISBN 10: 0387942637
ISBN 13: 9780387942636
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Logistic Regression with Missing Values in the Covariates
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Condición: New. pp. 156. Nº de ref. del artículo: 263889299
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Logistic Regression with Missing Values in the Covariates
Impresión bajo demandaLibrería: Majestic Books, Hounslow, Reino Unido
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Condición: New. Print on Demand pp. 156 49:B&W 6.14 x 9.21 in or 234 x 156 mm (Royal 8vo) Perfect Bound on White w/Gloss Lam. Nº de ref. del artículo: 5039948
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Logistic Regression With Missing Values in the Covariates
Librería: Revaluation Books, Exeter, Reino Unido
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Paperback. Condición: Brand New. 1st edition. 148 pages. 9.25x6.25x0.50 inches. In Stock. Nº de ref. del artículo: x-0387942637
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Logistic Regression with Missing Values in the Covariates
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Springer New York, Springer US Apr 1994, 1994
ISBN 10: 0387942637
ISBN 13: 9780387942636
Nuevo
Taschenbuch
Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemania
Calificación del vendedor: 5 de 5 estrellas
Taschenbuch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -In many areas of science a basic task is to assess the influence of several factors on a quantity of interest. If this quantity is binary logistic, regression models provide a powerful tool for this purpose. This monograph presents an account of the use of logistic regression in the case where missing values in the variables prevent the use of standard techniques. Such situations occur frequently across a wide range of statistical applications.The emphasis of this book is on methods related to the classical maximum likelihood principle. The author reviews the essentials of logistic regression and discusses the variety of mechanisms which might cause missing values while the rest of the book covers the methods which may be used to deal with missing values and their effectiveness. Researchers across a range of disciplines and graduate students in statistics and biostatistics will find this a readable account of this.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 156 pp. Englisch. Nº de ref. del artículo: 9780387942636
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Logistic Regression with Missing Values in the Covariates
Impresión bajo demandaLibrería: Biblios, Frankfurt am main, HESSE, Alemania
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Condición: New. PRINT ON DEMAND pp. 156. Nº de ref. del artículo: 183889305
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