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Logistic Regression with Missing Values in the Covariates: 86 (Lecture Notes in Statistics, 86) - Softcover
Synopsis
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
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Springer-Verlag, New York, 1994
ISBN 10: 0387942637
ISBN 13: 9780387942636
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Seller: Friends of the Salem Public Library, Salem, OR, U.S.A.
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Soft cover. Condition: Very Good. First printing of the assumed first edition in English. Trade paperback format. Large 8vo. 138 numbered pages. Illustrated with tables and formulas. References. Notation Index. Subject Index. No signs of previous ownership. Not a library discard. A sound copy in very good+ condition. Volume 86 in the publisher's series "Lecture Notes in Statistics.". Seller Inventory # 002800
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Logistic Regression With Missing Values in the Covariates
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Logistic Regression with Missing Values in the Covariates (Lecture Notes in Statistics)
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Soft Cover. Condition: Very Good. No Jacket. Great condition! No markings. Some minor shelf and handling wear. Seller Inventory # 1113702
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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
Published by
Springer, Springer Apr 1994, 1994
ISBN 10: 0387942637
ISBN 13: 9780387942636
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Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - 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. 156 pp. Englisch. Seller Inventory # 9780387942636
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Logistic Regression With Missing Values in the Covariates
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Logistic Regression with Missing Values in the Covariates
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Logistic Regression With Missing Values in the Covariates
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