Publicado por Cambridge University Press, Cambridge, 1992
ISBN 10: 0521429501 ISBN 13: 9780521429504
Idioma: Inglés
Librería: Grand Eagle Retail, Fairfield, OH, Estados Unidos de America
EUR 58,58
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Añadir al carritoPaperback. Condición: new. Paperback. Applied Nonparametric Regression brings together in one place the techniques for regression curve smoothing involving more than one variable. The computer and the development of interactive graphics programs has made curve estimation popular. This volume focuses on the applications and practical problems of two central aspects of curve smoothing: the choice of smoothing parameters and the construction of confidence bounds. The methods covered in this text have numerous applications in many areas using statistical analysis. Examples are drawn from economics—such as the estimation of Engel curves—as well as other disciplines including medicine and engineering. For practical applications of these methods a computing environment for exploratory Regression—XploRe—is described. 'Applied Nonparametric Regression' is the first book to bring together in one place the techniques for regression curve smoothing involving more than one variable. This volume focuses on the applications and practical problems of two central aspects of curve smoothing the choice of smoothing parameters and the construction of confidence bounds. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Publicado por Cambridge University Press, Cambridge, 1992
ISBN 10: 0521429501 ISBN 13: 9780521429504
Idioma: Inglés
Librería: AussieBookSeller, Truganina, VIC, Australia
EUR 83,13
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Añadir al carritoPaperback. Condición: new. Paperback. Applied Nonparametric Regression brings together in one place the techniques for regression curve smoothing involving more than one variable. The computer and the development of interactive graphics programs has made curve estimation popular. This volume focuses on the applications and practical problems of two central aspects of curve smoothing: the choice of smoothing parameters and the construction of confidence bounds. The methods covered in this text have numerous applications in many areas using statistical analysis. Examples are drawn from economics—such as the estimation of Engel curves—as well as other disciplines including medicine and engineering. For practical applications of these methods a computing environment for exploratory Regression—XploRe—is described. 'Applied Nonparametric Regression' is the first book to bring together in one place the techniques for regression curve smoothing involving more than one variable. This volume focuses on the applications and practical problems of two central aspects of curve smoothing the choice of smoothing parameters and the construction of confidence bounds. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
Publicado por Cambridge University Press, Cambridge, 1992
ISBN 10: 0521429501 ISBN 13: 9780521429504
Idioma: Inglés
Librería: CitiRetail, Stevenage, Reino Unido
EUR 73,78
Convertir monedaCantidad disponible: 1 disponibles
Añadir al carritoPaperback. Condición: new. Paperback. Applied Nonparametric Regression brings together in one place the techniques for regression curve smoothing involving more than one variable. The computer and the development of interactive graphics programs has made curve estimation popular. This volume focuses on the applications and practical problems of two central aspects of curve smoothing: the choice of smoothing parameters and the construction of confidence bounds. The methods covered in this text have numerous applications in many areas using statistical analysis. Examples are drawn from economics—such as the estimation of Engel curves—as well as other disciplines including medicine and engineering. For practical applications of these methods a computing environment for exploratory Regression—XploRe—is described. 'Applied Nonparametric Regression' is the first book to bring together in one place the techniques for regression curve smoothing involving more than one variable. This volume focuses on the applications and practical problems of two central aspects of curve smoothing the choice of smoothing parameters and the construction of confidence bounds. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.