Goodness-of-Fit Statistics for Discrete Multivariate Data (Springer Series in Statistics)

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9781461289319: Goodness-of-Fit Statistics for Discrete Multivariate Data (Springer Series in Statistics)
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Book by Read Timothy RC Cressie Noel AC

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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.

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Timothy R. C. Read, Noel A. C. Cressie
Publicado por Springer-Verlag New York Inc., United States (2011)
ISBN 10: 1461289319 ISBN 13: 9781461289319
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Descripción Springer-Verlag New York Inc., United States, 2011. Paperback. Condición: New. Language: English . Brand New Book ***** Print on Demand *****.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. Softcover reprint of the original 1st ed. 1988. Nº de ref. del artículo: AAV9781461289319

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Timothy R. C. Read, Noel A. C. Cressie
Publicado por Springer-Verlag New York Inc., United States (2011)
ISBN 10: 1461289319 ISBN 13: 9781461289319
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Descripción Springer-Verlag New York Inc., United States, 2011. Paperback. Condición: New. Language: English . This book usually ship within 10-15 business days and we will endeavor to dispatch orders quicker than this where possible. Brand New Book. 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. Softcover reprint of the original 1st ed. 1988. Nº de ref. del artículo: LIE9781461289319

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TIMOTHY R.C. READ
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Descripción Springer, 2011. Paperback. Condición: NEW. 9781461289319 This listing is a new book, a title currently in-print which we order directly and immediately from the publisher. For all enquiries, please contact Herb Tandree Philosophy Books directly - customer service is our primary goal. Nº de ref. del artículo: HTANDREE0301142

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Timothy R. C. Read, Noel A. C. Cressie
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ISBN 10: 1461289319 ISBN 13: 9781461289319
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Descripción Springer-Verlag New York Inc., United States, 2011. Paperback. Condición: New. Language: English . Brand New Book ***** Print on Demand *****. 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. Softcover reprint of the original 1st ed. 1988. Nº de ref. del artículo: AAV9781461289319

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Descripción Condición: New. Nº de ref. del artículo: ria9781461289319_ing

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Timothy R.C. Read; Noel Cressie
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Descripción Springer, 1988. Condición: New. This item is printed on demand for shipment within 3 working days. Nº de ref. del artículo: LP9781461289319

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Descripción Springer, 2018. Paperback. Condición: New. Never used! This item is printed on demand. Nº de ref. del artículo: 1461289319

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Descripción Springer-Verlag New York Inc., 2011. PAP. Condición: New. New Book. Shipped from US within 10 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000. Nº de ref. del artículo: IQ-9781461289319

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Descripción Springer New York, 2012. Paperback. Condición: Brand New. reprint edition. 222 pages. 9.25x6.10 inches. In Stock. Nº de ref. del artículo: x-1461289319

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