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Linear Models for Multivariate, Time Series and Spatial Data (Springer Texts in Statistics)
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Linear Models for Multivariate, Time Series, and Spatial Data (Springer Texts in Statistics) (1997)
EN HC USISBN: 9780387974132 bzw. 038797413X, in Englisch, 336 Seiten, Springer, gebundenes Buch, gebraucht.
Lieferung aus: Vereinigte Staaten von Amerika, Usually ships in 24 hours.
Von Händler/Antiquariat, Bookbyte Textbooks.
This is a self-contained companion volume to the author's book "Plane Answers to Complex Questions: The Theory of Linear Models". It provides introductions to several topics related to linear model theory: multivariate linear models, discriminant analysis, principal components, factor analysis, time series in both the frequency and time domains, and spatial data analysis (geostatistics). The purpose of this volume is to use three fundamental ideas from linear model theory and exploit their properties in examining multivariate, time series and spatial data. The three ideas are: best linear prediction, projections, and Mahalanobis' distance. Multivariate linear models are viewed as linear models with a nondiagonal covariance matrix. Discriminant analysis is related to the Mahalanobis distance and multivariate analysis of variance. Principle components are best linear predictors. Frequency domain time series involves linear models with a peculiar design matrix. Time domain analysis involves models that are linear in the parameters but have random design matrices. Best linear predictors are used for forecasting time series and for estimation in time domain analysis. Spatial data analysis involves linear models in which the covariance matrix is modeled from the data and making best linear unbiased predictions of future observables. This book develops a unified approach to this wide ranging collection of problems. Ronald Christensen is Professor of Statistics at the University of New Mexico. He is recognized internationally as an expert in the theory and application of linear models. In addition to this book and "Plane Answers," he is the author of numerous research articles, "Log-Linear Models and Logistic Regression", and "Analysis of Variance, Design, Hardcover, Ausgabe: Corrected, Label: Springer, Springer, Produktgruppe: Book, Publiziert: 1997-08-15, Studio: Springer, Verkaufsrang: 10654899.
Von Händler/Antiquariat, Bookbyte Textbooks.
This is a self-contained companion volume to the author's book "Plane Answers to Complex Questions: The Theory of Linear Models". It provides introductions to several topics related to linear model theory: multivariate linear models, discriminant analysis, principal components, factor analysis, time series in both the frequency and time domains, and spatial data analysis (geostatistics). The purpose of this volume is to use three fundamental ideas from linear model theory and exploit their properties in examining multivariate, time series and spatial data. The three ideas are: best linear prediction, projections, and Mahalanobis' distance. Multivariate linear models are viewed as linear models with a nondiagonal covariance matrix. Discriminant analysis is related to the Mahalanobis distance and multivariate analysis of variance. Principle components are best linear predictors. Frequency domain time series involves linear models with a peculiar design matrix. Time domain analysis involves models that are linear in the parameters but have random design matrices. Best linear predictors are used for forecasting time series and for estimation in time domain analysis. Spatial data analysis involves linear models in which the covariance matrix is modeled from the data and making best linear unbiased predictions of future observables. This book develops a unified approach to this wide ranging collection of problems. Ronald Christensen is Professor of Statistics at the University of New Mexico. He is recognized internationally as an expert in the theory and application of linear models. In addition to this book and "Plane Answers," he is the author of numerous research articles, "Log-Linear Models and Logistic Regression", and "Analysis of Variance, Design, Hardcover, Ausgabe: Corrected, Label: Springer, Springer, Produktgruppe: Book, Publiziert: 1997-08-15, Studio: Springer, Verkaufsrang: 10654899.
2
Linear Models for Multivariate, Time Series, and Spatial Data (Springer Texts in Statistics) (1997)
EN HC NWISBN: 9780387974132 bzw. 038797413X, in Englisch, 336 Seiten, Springer, gebundenes Buch, neu.
Lieferung aus: Vereinigte Staaten von Amerika, Usually ships in 1-2 business days.
Von Händler/Antiquariat, DelhiBookStore.
This is a self-contained companion volume to the author's book "Plane Answers to Complex Questions: The Theory of Linear Models". It provides introductions to several topics related to linear model theory: multivariate linear models, discriminant analysis, principal components, factor analysis, time series in both the frequency and time domains, and spatial data analysis (geostatistics). The purpose of this volume is to use three fundamental ideas from linear model theory and exploit their properties in examining multivariate, time series and spatial data. The three ideas are: best linear prediction, projections, and Mahalanobis' distance. Multivariate linear models are viewed as linear models with a nondiagonal covariance matrix. Discriminant analysis is related to the Mahalanobis distance and multivariate analysis of variance. Principle components are best linear predictors. Frequency domain time series involves linear models with a peculiar design matrix. Time domain analysis involves models that are linear in the parameters but have random design matrices. Best linear predictors are used for forecasting time series and for estimation in time domain analysis. Spatial data analysis involves linear models in which the covariance matrix is modeled from the data and making best linear unbiased predictions of future observables. This book develops a unified approach to this wide ranging collection of problems. Ronald Christensen is Professor of Statistics at the University of New Mexico. He is recognized internationally as an expert in the theory and application of linear models. In addition to this book and "Plane Answers," he is the author of numerous research articles, "Log-Linear Models and Logistic Regression", and "Analysis of Variance, Design, Hardcover, Ausgabe: Corrected, Label: Springer, Springer, Produktgruppe: Book, Publiziert: 1997-08-15, Studio: Springer, Verkaufsrang: 10654899.
Von Händler/Antiquariat, DelhiBookStore.
This is a self-contained companion volume to the author's book "Plane Answers to Complex Questions: The Theory of Linear Models". It provides introductions to several topics related to linear model theory: multivariate linear models, discriminant analysis, principal components, factor analysis, time series in both the frequency and time domains, and spatial data analysis (geostatistics). The purpose of this volume is to use three fundamental ideas from linear model theory and exploit their properties in examining multivariate, time series and spatial data. The three ideas are: best linear prediction, projections, and Mahalanobis' distance. Multivariate linear models are viewed as linear models with a nondiagonal covariance matrix. Discriminant analysis is related to the Mahalanobis distance and multivariate analysis of variance. Principle components are best linear predictors. Frequency domain time series involves linear models with a peculiar design matrix. Time domain analysis involves models that are linear in the parameters but have random design matrices. Best linear predictors are used for forecasting time series and for estimation in time domain analysis. Spatial data analysis involves linear models in which the covariance matrix is modeled from the data and making best linear unbiased predictions of future observables. This book develops a unified approach to this wide ranging collection of problems. Ronald Christensen is Professor of Statistics at the University of New Mexico. He is recognized internationally as an expert in the theory and application of linear models. In addition to this book and "Plane Answers," he is the author of numerous research articles, "Log-Linear Models and Logistic Regression", and "Analysis of Variance, Design, Hardcover, Ausgabe: Corrected, Label: Springer, Springer, Produktgruppe: Book, Publiziert: 1997-08-15, Studio: Springer, Verkaufsrang: 10654899.
3
Linear Models for Multivariate, Time Series and Spatial Data (Springer Texts in Statistics) (1991)
DE USISBN: 9783540974130 bzw. 354097413X, in Deutsch, Springer Berlin, gebraucht.
Lieferung aus: Deutschland, Versandkosten nach: Deutschland, Versandkostenfrei.
Von Händler/Antiquariat, Mosakowski GbR, [3737242].
317 Seiten Gebundene Ausgabe ex Library Book / aus einer wissenschafltichen Bibliothek / Sofort verfügbar / daily shipping worldwide with invoice /, 1991. gebraucht sehr gut, 639g, Auflage: Corr. 2nd printing, Internationaler Versand, PayPal, Banküberweisung.
Von Händler/Antiquariat, Mosakowski GbR, [3737242].
317 Seiten Gebundene Ausgabe ex Library Book / aus einer wissenschafltichen Bibliothek / Sofort verfügbar / daily shipping worldwide with invoice /, 1991. gebraucht sehr gut, 639g, Auflage: Corr. 2nd printing, Internationaler Versand, PayPal, Banküberweisung.
4
Linear Models for Multivariate, Time Series and Spatial Data (Springer Texts in Statistics) (1991)
DE USISBN: 9783540974130 bzw. 354097413X, in Deutsch, Springer Berlin, gebraucht.
Von Händler/Antiquariat, Mosakowski & Stiasny GbR [51070922], Florstadt, Germany.
317 Seiten ex Library Book / aus einer wissenschafltichen Bibliothek / Sprache: Englisch Gewicht in Gramm: 639.
317 Seiten ex Library Book / aus einer wissenschafltichen Bibliothek / Sprache: Englisch Gewicht in Gramm: 639.
5
Linear Models for Multivariate, Time Series and Spatial Data (Springer Texts in Statistics) (1991)
DE USISBN: 9783540974130 bzw. 354097413X, in Deutsch, Springer Berlin, gebraucht.
Von Händler/Antiquariat, Mosakowski GbR [51070922], Florstadt, Germany.
317 Seiten ex Library Book / aus einer wissenschafltichen Bibliothek / Sprache: Englisch Gewicht in Gramm: 639, Books.
317 Seiten ex Library Book / aus einer wissenschafltichen Bibliothek / Sprache: Englisch Gewicht in Gramm: 639, Books.
6
Linear Models for Multivariate, Time Series and Spatial Data (Springer Texts in Statistics) (1997)
DE HC USISBN: 9783540974130 bzw. 354097413X, in Deutsch, 317 Seiten, Springer Berlin, gebundenes Buch, gebraucht.
Lieferung aus: Deutschland, Versandfertig in 1 - 2 Werktagen, Versandkostenfrei. Tatsächliche Versandkosten können abweichen.
Von Händler/Antiquariat, fachbuecher-weltversand.
Die Beschreibung dieses Angebotes ist von geringer Qualität oder in einer Fremdsprache. Trotzdem anzeigen
Von Händler/Antiquariat, fachbuecher-weltversand.
Die Beschreibung dieses Angebotes ist von geringer Qualität oder in einer Fremdsprache. Trotzdem anzeigen
7
Linear Models for Multivariate, Time Series and Spatial Data (Springer Texts in Statistics) (1997)
DE HC USISBN: 9783540974130 bzw. 354097413X, in Deutsch, 317 Seiten, Springer Berlin, gebundenes Buch, gebraucht.
Lieferung aus: Deutschland, Versandfertig in 1 - 2 Werktagen.
Von Händler/Antiquariat, fachbuecher-weltversand.
Die Beschreibung dieses Angebotes ist von geringer Qualität oder in einer Fremdsprache. Trotzdem anzeigen
Von Händler/Antiquariat, fachbuecher-weltversand.
Die Beschreibung dieses Angebotes ist von geringer Qualität oder in einer Fremdsprache. Trotzdem anzeigen
8
Linear Models for Multivariate, Time Series and Spatial Data
EN HC NWISBN: 9780387974132 bzw. 038797413X, in Englisch, Springer-Verlag New York, LLC, gebundenes Buch, neu.
Lieferung aus: Vereinigte Staaten von Amerika, Lagernd, zzgl. Versandkosten.
Die Beschreibung dieses Angebotes ist von geringer Qualität oder in einer Fremdsprache. Trotzdem anzeigen
Die Beschreibung dieses Angebotes ist von geringer Qualität oder in einer Fremdsprache. Trotzdem anzeigen
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