Anbieter: NEPO UG, Rüsselsheim am Main, Deutschland
Zustand: 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.
Anbieter: Moe's Books, Berkeley, CA, USA
Soft Cover. Zustand: Very Good. No Jacket. Great condition! No markings. Some minor shelf and handling wear.
Anbieter: Ria Christie Collections, Uxbridge, Vereinigtes Königreich
EUR 58,91
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In den WarenkorbZustand: New. In.
Zustand: New. pp. 156.
Anbieter: Revaluation Books, Exeter, Vereinigtes Königreich
EUR 76,74
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In den WarenkorbPaperback. Zustand: Brand New. 1st edition. 148 pages. 9.25x6.25x0.50 inches. In Stock.
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
Taschenbuch. Zustand: 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.
Sprache: Englisch
Verlag: Springer, Springer Apr 1994, 1994
ISBN 10: 0387942637 ISBN 13: 9780387942636
Anbieter: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Deutschland
Taschenbuch. Zustand: 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.
Anbieter: Majestic Books, Hounslow, Vereinigtes Königreich
EUR 76,41
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In den WarenkorbZustand: 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.
Anbieter: Biblios, Frankfurt am main, HESSE, Deutschland
Zustand: New. PRINT ON DEMAND pp. 156.
Anbieter: moluna, Greven, Deutschland
EUR 48,37
Anzahl: Mehr als 20 verfügbar
In den WarenkorbZustand: 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 .
Sprache: Englisch
Verlag: Springer, Copernicus Apr 1994, 1994
ISBN 10: 0387942637 ISBN 13: 9780387942636
Anbieter: buchversandmimpf2000, Emtmannsberg, BAYE, Deutschland
Taschenbuch. Zustand: 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 KG, Sachsenplatz 4-6, 1201 Wien 156 pp. Englisch.