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In den WarenkorbZustand: Good. Ships from the UK. Used book that is in clean, average condition without any missing pages.
Verlag: Springer Verlag, New York, 1988
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In den WarenkorbHardcover. Zustand: Good+ with no dust jacket. A unified analysis of the traditional goodness-of-fit tests, their behaior and relative merits, as well as introducing some new test statistics. 211 pages. the usual library markings: pocket at rear, stamps, labels; call label inked out on spine.; 6 1/4 x 9 1/2 ''.
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In den WarenkorbZustand: Good. This is an ex-library book and may have the usual library/used-book markings inside.This book has hardback covers. In good all round condition. No dust jacket. Please note the Image in this listing is a stock photo and may not match the covers of the actual item,550grams, ISBN:038796682X.
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In den WarenkorbZustand: New. This is a Brand-new US Edition. This Item may be shipped from US or any other country as we have multiple locations worldwide.
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In den WarenkorbZustand: Brand New. New. US edition. Expediting shipping for all USA and Europe orders excluding PO Box. Excellent Customer Service.
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In den WarenkorbZustand: New.
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In den WarenkorbZustand: New.
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In den WarenkorbZustand: New. pp. 228.
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In den WarenkorbZustand: New.
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In den WarenkorbBrand new book. Fast ship. Please provide full street address as we are not able to ship to P O box address.
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In den WarenkorbHardcover. Zustand: Near Fine. Rear sticker scar else fine ; Springer Series In Statistics; 9.6 X 6.3 X 0.6 inches; 224 pages.
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In den WarenkorbHardback or Cased Book. Zustand: New. Goodness-Of-Fit Statistics for Discrete Multivariate Data 1.06. Book.
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In den WarenkorbZustand: New. pp. 228 7 Figures, 52:B&W 6.14 x 9.21in or 234 x 156mm (Royal 8vo) Case Laminate on White w/Gloss Lam.
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In den WarenkorbZustand: As New. Unread book in perfect condition.
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In den WarenkorbZustand: New. pp. 228.
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In den WarenkorbZustand: New. In.
Verlag: Springer New York 1988-01-01, 1988
ISBN 10: 1461289319 ISBN 13: 9781461289319
Sprache: Englisch
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In den WarenkorbZustand: New. pp. 228.
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In den Warenkorbhardcover. Zustand: New. In shrink wrap. Looks like an interesting title!
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In den WarenkorbZustand: As New. Unread book in perfect condition.
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In den WarenkorbZustand: New.
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In den WarenkorbZustand: New.
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In den WarenkorbPaperback. Zustand: Brand New. reprint edition. 222 pages. 9.25x6.10x0.50 inches. In Stock.
Verlag: Springer New York Aug 1988, 1988
ISBN 10: 038796682X ISBN 13: 9780387966823
Sprache: Englisch
Anbieter: buchversandmimpf2000, Emtmannsberg, BAYE, Deutschland
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In den WarenkorbBuch. Zustand: Neu. Neuware -The statistical analysis of discrete multivariate data has received a great deal of attention in the statistics literature over the past two decades. The develop ment ofappropriate models is the common theme of books such as Cox (1970), Haberman (1974, 1978, 1979), Bishop et al. (1975), Gokhale and Kullback (1978), Upton (1978), Fienberg (1980), Plackett (1981), Agresti (1984), Goodman (1984), and Freeman (1987). The objective of our book differs from those listed above. Rather than concentrating on model building, our intention is to describe and assess the goodness-of-fit statistics used in the model verification part of the inference process. Those books that emphasize model development tend to assume that the model can be tested with one of the traditional goodness-of-fit tests 2 2 (e.g., Pearson's X or the loglikelihood ratio G ) using a chi-squared critical value. However, it is well known that this can give a poor approximation in many circumstances. This book provides the reader with a unified analysis of the traditional goodness-of-fit tests, describing their behavior and relative merits as well as introducing some new test statistics. The power-divergence family of statistics (Cressie and Read, 1984) is used to link the traditional test statistics through a single real-valued parameter, and provides a way to consolidate and extend the current fragmented literature. As a by-product of our analysis, a new 2 2 statistic emerges 'between' Pearson's X and the loglikelihood ratio G that has some valuable properties.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 228 pp. Englisch.
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In den WarenkorbTaschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - The statistical analysis of discrete multivariate data has received a great deal of attention in the statistics literature over the past two decades. The develop ment ofappropriate models is the common theme of books such as Cox (1970), Haberman (1974, 1978, 1979), Bishop et al. (1975), Gokhale and Kullback (1978), Upton (1978), Fienberg (1980), Plackett (1981), Agresti (1984), Goodman (1984), and Freeman (1987). The objective of our book differs from those listed above. Rather than concentrating on model building, our intention is to describe and assess the goodness-of-fit statistics used in the model verification part of the inference process. Those books that emphasize model development tend to assume that the model can be tested with one of the traditional goodness-of-fit tests 2 2 (e.g., Pearson's X or the loglikelihood ratio G ) using a chi-squared critical value. However, it is well known that this can give a poor approximation in many circumstances. This book provides the reader with a unified analysis of the traditional goodness-of-fit tests, describing their behavior and relative merits as well as introducing some new test statistics. The power-divergence family of statistics (Cressie and Read, 1984) is used to link the traditional test statistics through a single real-valued parameter, and provides a way to consolidate and extend the current fragmented literature. As a by-product of our analysis, a new 2 2 statistic emerges 'between' Pearson's X and the loglikelihood ratio G that has some valuable properties.
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
EUR 58,55
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In den WarenkorbBuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - The statistical analysis of discrete multivariate data has received a great deal of attention in the statistics literature over the past two decades. The develop ment ofappropriate models is the common theme of books such as Cox (1970), Haberman (1974, 1978, 1979), Bishop et al. (1975), Gokhale and Kullback (1978), Upton (1978), Fienberg (1980), Plackett (1981), Agresti (1984), Goodman (1984), and Freeman (1987). The objective of our book differs from those listed above. Rather than concentrating on model building, our intention is to describe and assess the goodness-of-fit statistics used in the model verification part of the inference process. Those books that emphasize model development tend to assume that the model can be tested with one of the traditional goodness-of-fit tests 2 2 (e.g., Pearson's X or the loglikelihood ratio G ) using a chi-squared critical value. However, it is well known that this can give a poor approximation in many circumstances. This book provides the reader with a unified analysis of the traditional goodness-of-fit tests, describing their behavior and relative merits as well as introducing some new test statistics. The power-divergence family of statistics (Cressie and Read, 1984) is used to link the traditional test statistics through a single real-valued parameter, and provides a way to consolidate and extend the current fragmented literature. As a by-product of our analysis, a new 2 2 statistic emerges 'between' Pearson's X and the loglikelihood ratio G that has some valuable properties.
Anbieter: Antiquariat Bookfarm, Löbnitz, Deutschland
EUR 104,70
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In den WarenkorbHardcover. xi, 211 p. Ex-library with stamp and library-signature. GOOD condition, some traces of use. Ehem. Bibliotheksexemplar mit Signatur und Stempel. GUTER Zustand, ein paar Gebrauchsspuren. C-05416 354096682X Sprache: Englisch Gewicht in Gramm: 550.