Analysis of Incomplete Multivariate Data (Chapman & Hall/CRC Monographs on Statistics & Applied Probability)
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1
Analysis of Incomplete Multivariate Data
ENISBN: 9780412040610 bzw. 0412040611, in Englisch, CRC Press.
Lieferung aus: Vereinigte Staaten von Amerika, In Stock.
Analysis of Incomplete Multivariate Data Schafer, J. L. The last two decades have seen enormous developments in statistical methods for incomplete data. The EM algorithm and its extensions, multiple imputation, and Markov Chain Monte Carlo provide a set of flexible and reliable tools from inference in large classes of missing-data problems. Yet, in practical terms, those developments have had surprisingly little impact on the way most data analysts handle missing values on a routine basis. Analysis of Incomplete Multivariate Data helps bridge the gap between theory and practice, making these missing-data tools accessible to a broad audience. It presents a unified, Bayesian approach to the analysis of incomplete multivariate data, covering datasets in which the variables are continuous, categorical, or both. The focus is applied, where necessary, to help readers thoroughly understand the statistical properties of those methods, and the behavior of the accompanying algorithms. All techniques are illustrated with real data examples, with extended discussion and practical advice. All of the algorithms described in this book have been implemented by the author for general use in the statistical languages S and S Plus. The software is available free of charge on the Internet.
Analysis of Incomplete Multivariate Data Schafer, J. L. The last two decades have seen enormous developments in statistical methods for incomplete data. The EM algorithm and its extensions, multiple imputation, and Markov Chain Monte Carlo provide a set of flexible and reliable tools from inference in large classes of missing-data problems. Yet, in practical terms, those developments have had surprisingly little impact on the way most data analysts handle missing values on a routine basis. Analysis of Incomplete Multivariate Data helps bridge the gap between theory and practice, making these missing-data tools accessible to a broad audience. It presents a unified, Bayesian approach to the analysis of incomplete multivariate data, covering datasets in which the variables are continuous, categorical, or both. The focus is applied, where necessary, to help readers thoroughly understand the statistical properties of those methods, and the behavior of the accompanying algorithms. All techniques are illustrated with real data examples, with extended discussion and practical advice. All of the algorithms described in this book have been implemented by the author for general use in the statistical languages S and S Plus. The software is available free of charge on the Internet.
2
Analysis of Incomplete Multivariate Data (Chapman & Hall/CRC Monographs on Statistics & Applied Probability) (1997)
EN HC US FEISBN: 9780412040610 bzw. 0412040611, in Englisch, 444 Seiten, Chapman and Hall/CRC, gebundenes Buch, gebraucht, Erstausgabe.
Lieferung aus: Vereinigte Staaten von Amerika, Usually ships in 1-2 business days.
Von Händler/Antiquariat, Any Book.
The last two decades have seen enormous developments in statistical methods for incomplete data. The EM algorithm and its extensions, multiple imputation, and Markov Chain Monte Carlo provide a set of flexible and reliable tools from inference in large classes of missing-data problems. Yet, in practical terms, those developments have had surprisingly little impact on the way most data analysts handle missing values on a routine basis. Analysis of Incomplete Multivariate Data helps bridge the gap between theory and practice, making these missing-data tools accessible to a broad audience. It presents a unified, Bayesian approach to the analysis of incomplete multivariate data, covering datasets in which the variables are continuous, categorical, or both. The focus is applied, where necessary, to help readers thoroughly understand the statistical properties of those methods, and the behavior of the accompanying algorithms. All techniques are illustrated with real data examples, with extended discussion and practical advice. All of the algorithms described in this book have been implemented by the author for general use in the statistical languages S and S Plus. The software is available free of charge on the Internet. Hardcover, Ausgabe: 1, Label: Chapman and Hall/CRC, Chapman and Hall/CRC, Produktgruppe: Book, Publiziert: 1997-08-01, Studio: Chapman and Hall/CRC, Verkaufsrang: 803573.
Von Händler/Antiquariat, Any Book.
The last two decades have seen enormous developments in statistical methods for incomplete data. The EM algorithm and its extensions, multiple imputation, and Markov Chain Monte Carlo provide a set of flexible and reliable tools from inference in large classes of missing-data problems. Yet, in practical terms, those developments have had surprisingly little impact on the way most data analysts handle missing values on a routine basis. Analysis of Incomplete Multivariate Data helps bridge the gap between theory and practice, making these missing-data tools accessible to a broad audience. It presents a unified, Bayesian approach to the analysis of incomplete multivariate data, covering datasets in which the variables are continuous, categorical, or both. The focus is applied, where necessary, to help readers thoroughly understand the statistical properties of those methods, and the behavior of the accompanying algorithms. All techniques are illustrated with real data examples, with extended discussion and practical advice. All of the algorithms described in this book have been implemented by the author for general use in the statistical languages S and S Plus. The software is available free of charge on the Internet. Hardcover, Ausgabe: 1, Label: Chapman and Hall/CRC, Chapman and Hall/CRC, Produktgruppe: Book, Publiziert: 1997-08-01, Studio: Chapman and Hall/CRC, Verkaufsrang: 803573.
3
Analysis of Incomplete Multivariate Data (Chapman & Hall/CRC Monographs on Statistics & Applied Probability) (1997)
EN HC NW FEISBN: 9780412040610 bzw. 0412040611, in Englisch, 444 Seiten, Chapman and Hall/CRC, gebundenes Buch, neu, Erstausgabe.
Lieferung aus: Vereinigte Staaten von Amerika, Usually ships in 1-2 business days.
Von Händler/Antiquariat, Click away online.
The last two decades have seen enormous developments in statistical methods for incomplete data. The EM algorithm and its extensions, multiple imputation, and Markov Chain Monte Carlo provide a set of flexible and reliable tools from inference in large classes of missing-data problems. Yet, in practical terms, those developments have had surprisingly little impact on the way most data analysts handle missing values on a routine basis. Analysis of Incomplete Multivariate Data helps bridge the gap between theory and practice, making these missing-data tools accessible to a broad audience. It presents a unified, Bayesian approach to the analysis of incomplete multivariate data, covering datasets in which the variables are continuous, categorical, or both. The focus is applied, where necessary, to help readers thoroughly understand the statistical properties of those methods, and the behavior of the accompanying algorithms. All techniques are illustrated with real data examples, with extended discussion and practical advice. All of the algorithms described in this book have been implemented by the author for general use in the statistical languages S and S Plus. The software is available free of charge on the Internet. Hardcover, Ausgabe: 1, Label: Chapman and Hall/CRC, Chapman and Hall/CRC, Produktgruppe: Book, Publiziert: 1997-08-01, Studio: Chapman and Hall/CRC, Verkaufsrang: 803573.
Von Händler/Antiquariat, Click away online.
The last two decades have seen enormous developments in statistical methods for incomplete data. The EM algorithm and its extensions, multiple imputation, and Markov Chain Monte Carlo provide a set of flexible and reliable tools from inference in large classes of missing-data problems. Yet, in practical terms, those developments have had surprisingly little impact on the way most data analysts handle missing values on a routine basis. Analysis of Incomplete Multivariate Data helps bridge the gap between theory and practice, making these missing-data tools accessible to a broad audience. It presents a unified, Bayesian approach to the analysis of incomplete multivariate data, covering datasets in which the variables are continuous, categorical, or both. The focus is applied, where necessary, to help readers thoroughly understand the statistical properties of those methods, and the behavior of the accompanying algorithms. All techniques are illustrated with real data examples, with extended discussion and practical advice. All of the algorithms described in this book have been implemented by the author for general use in the statistical languages S and S Plus. The software is available free of charge on the Internet. Hardcover, Ausgabe: 1, Label: Chapman and Hall/CRC, Chapman and Hall/CRC, Produktgruppe: Book, Publiziert: 1997-08-01, Studio: Chapman and Hall/CRC, Verkaufsrang: 803573.
4
Analysis of incomplete multivariate data 72 algorithms and e xamples
~EN NW FEISBN: 9780412040610 bzw. 0412040611, vermutlich in Englisch, Chapman & Hall, Vereinigtes Königreich Großbritannien und Nordirland, neu, Erstausgabe.
Lieferung aus: Niederlande, zzgl. Versandkosten.
The last two decades have seen enormous developments in statistical methods for incomplete data. The EM algorithm and its extensions, multiple imputation, and Markov Chain Monte Carlo provide a set of flexible and reliable tools from inference in large classes of missing-data problems. Yet, in practical terms, those developments have had surprisingly little impact on the way most data analysts handle missing values on a routine basis. Analysis of Incomplete Multivariate Data helps bridge the gap between theory and practice, making these missing-data tools accessible to a broad audience. It presents a unified, Bayesian approach to the analysis of incomplete multivariate data, covering datasets in which the variables are continuous, categorical, or both. The focus is applied, where necessary, to help readers thoroughly understand the statistical properties of those methods, and the behavior of the accompanying algorithms. All techniques are illustrated with real data examples, with extended discussion and pra.
The last two decades have seen enormous developments in statistical methods for incomplete data. The EM algorithm and its extensions, multiple imputation, and Markov Chain Monte Carlo provide a set of flexible and reliable tools from inference in large classes of missing-data problems. Yet, in practical terms, those developments have had surprisingly little impact on the way most data analysts handle missing values on a routine basis. Analysis of Incomplete Multivariate Data helps bridge the gap between theory and practice, making these missing-data tools accessible to a broad audience. It presents a unified, Bayesian approach to the analysis of incomplete multivariate data, covering datasets in which the variables are continuous, categorical, or both. The focus is applied, where necessary, to help readers thoroughly understand the statistical properties of those methods, and the behavior of the accompanying algorithms. All techniques are illustrated with real data examples, with extended discussion and pra.
5
Analysis of Incomplete Multivariate Data
EN HC NWISBN: 9780412040610 bzw. 0412040611, in Englisch, Taylor & Francis Ltd, gebundenes Buch, neu.
Lieferung aus: Deutschland, Versandkostenfrei.
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6
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Analysis of Incomplete Multivariate Data (Chapman & Hall/CRC Monographs on Statistics & Applied Probability) (1997)
EN USISBN: 9780412040610 bzw. 0412040611, in Englisch, Chapman and Hall/CRC, gebraucht.
Lieferung aus: Deutschland, Versandkostenfrei.
Buchladen an der Kyll, [4637735].
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Buchladen an der Kyll, [4637735].
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7
Analysis Of Incomplete Multivariate Data (1999)
~EN USISBN: 0412040611 bzw. 9780412040610, vermutlich in Englisch, Chapman & Hall, Vereinigtes Königreich Großbritannien und Nordirland, gebraucht.
Lieferung aus: Frankreich, zzgl. Versandkosten.
Die Beschreibung dieses Angebotes ist von geringer Qualität oder in einer Fremdsprache. Trotzdem anzeigen
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