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Regression Analysis: Theory, Methods And Applications (Springer Texts In Statistics) - Couverture souple
Synopsis
Any method of fitting equations to data may be called regression. Such equations are valuable for at least two purposes: making predictions and judging the strength of relationships. Because they provide a way of em- pirically identifying how a variable is affected by other variables, regression methods have become essential in a wide range of fields, including the soeial seiences, engineering, medical research and business. Of the various methods of performing regression, least squares is the most widely used. In fact, linear least squares regression is by far the most widely used of any statistical technique. Although nonlinear least squares is covered in an appendix, this book is mainly ab out linear least squares applied to fit a single equation (as opposed to a system of equations). The writing of this book started in 1982. Since then, various drafts have been used at the University of Toronto for teaching a semester-Iong course to juniors, seniors and graduate students in a number of fields, including statistics, pharmacology, pharmacology, engineering, economics, forestry and the behav- ioral seiences. Parts of the book have also been used in a quarter-Iong course given to Master's and Ph.D. students in public administration, urban plan- ning and engineering at the University of Illinois at Chicago (UIC). This experience and the comments and critieisms from students helped forge the final version.
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Regression analysis. Theory, methods, and applications.
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NewYork, Springer, 1997
ISBN 10 : 3540972110
ISBN 13 : 9783540972112
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Hardcover. [Corrected 4th printing]. IX, 347 S. Ehem. Bibliotheksexemplar mit Signatur und Stempel. GUTER Zustand, ein paar Gebrauchsspuren. Ex-library with stamp and library-signature. GOOD condition, some traces of use. w09698 3540972110 Sprache: Englisch Gewicht in Gramm: 550. N° de réf. du vendeur 2431279
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Regression analysis. theory, methods, and applications.
Edité par
Springer, 1990
ISBN 10 : 3540972110
ISBN 13 : 9783540972112
Ancien ou d'occasion
Couverture souple
Vendeur : Antiquariat Bookfarm, Löbnitz, Allemagne
Évaluation du vendeur 5 sur 5 étoiles
Ehem. Bibliotheksexemplar mit Signatur und Stempel. GUTER Zustand, ein paar Gebrauchsspuren. Ex-library with stamp and library-signature. GOOD conditon, some traces of use. Sd 128 3540972110 Sprache: Englisch Gewicht in Gramm: 550. N° de réf. du vendeur 2086527
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Regression analysis. Springer texts in statistics.
Edité par
New York u.a., Springer, 1990
ISBN 10 : 3540972110
ISBN 13 : 9783540972112
Ancien ou d'occasion
Couverture rigide
Vendeur : Antiquariat Bookfarm, Löbnitz, Allemagne
Évaluation du vendeur 5 sur 5 étoiles
Hardcover. IX, 347 S. Ehem. Bibliotheksexemplar mit Signatur und Stempel. GUTER Zustand, ein paar Gebrauchsspuren. Ex-library with stamp and library-signature. GOOD condition, some traces of use. X-20301 3540972110 Sprache: Englisch Gewicht in Gramm: 715. N° de réf. du vendeur 2396654
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Regression Analysis: Theory, Methods And Applications (Springer Texts In Statistics)
Edité par
Springer, 1990
ISBN 10 : 3540972110
ISBN 13 : 9783540972112
Ancien ou d'occasion
Couverture souple
Vendeur : NEPO UG, Rüsselsheim am Main, Allemagne
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Etat : Gut. Auflage: 1990. 368 Seiten ex Library Book / aus einer wissenschafltichen Bibliothek / Sprache: Englisch Gewicht in Gramm: 518 23,2 x 15,2 x 2,6 cm, Taschenbuch. N° de réf. du vendeur 375022
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Regression Analysis
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Springer Berlin Heidelberg, 1994
ISBN 10 : 3540972110
ISBN 13 : 9783540972112
Neuf
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Kartoniert / Broschiert. Etat : New. N° de réf. du vendeur 4902343
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Regression Analysis : Theory, Methods and Applications
Edité par
Springer Berlin Heidelberg, 1994
ISBN 10 : 3540972110
ISBN 13 : 9783540972112
Neuf
Taschenbuch
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Taschenbuch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - Any method of fitting equations to data may be called regression. Such equations are valuable for at least two purposes: making predictions and judging the strength of relationships. Because they provide a way of em pirically identifying how a variable is affected by other variables, regression methods have become essential in a wide range of fields, including the soeial seiences, engineering, medical research and business. Of the various methods of performing regression, least squares is the most widely used. In fact, linear least squares regression is by far the most widely used of any statistical technique. Although nonlinear least squares is covered in an appendix, this book is mainly ab out linear least squares applied to fit a single equation (as opposed to a system of equations). The writing of this book started in 1982. Since then, various drafts have been used at the University of Toronto for teaching a semester-Iong course to juniors, seniors and graduate students in a number of fields, including statistics, pharmacology, pharmacology, engineering, economics, forestry and the behav ioral seiences. Parts of the book have also been used in a quarter-Iong course given to Master's and Ph.D. students in public administration, urban plan ning and engineering at the University of Illinois at Chicago (UIC). This experience and the comments and critieisms from students helped forge the final version. N° de réf. du vendeur 9783540972112
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Regression Analysis: Theory, Methods and Applications (Springer Texts in Statistics)
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Regression Analysis
Edité par
Springer Berlin Heidelberg, Springer Berlin Heidelberg Jan 1994, 1994
ISBN 10 : 3540972110
ISBN 13 : 9783540972112
Neuf
Taschenbuch
Vendeur : buchversandmimpf2000, Emtmannsberg, BAYE, Allemagne
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Taschenbuch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware -Any method of fitting equations to data may be called regression. Such equations are valuable for at least two purposes: making predictions and judging the strength of relationships. Because they provide a way of em pirically identifying how a variable is affected by other variables, regression methods have become essential in a wide range of fields, including the soeial seiences, engineering, medical research and business. Of the various methods of performing regression, least squares is the most widely used. In fact, linear least squares regression is by far the most widely used of any statistical technique. Although nonlinear least squares is covered in an appendix, this book is mainly ab out linear least squares applied to fit a single equation (as opposed to a system of equations). The writing of this book started in 1982. Since then, various drafts have been used at the University of Toronto for teaching a semester-Iong course to juniors, seniors and graduate students in a number of fields, including statistics, pharmacology, pharmacology, engineering, economics, forestry and the behav ioral seiences. Parts of the book have also been used in a quarter-Iong course given to Master's and Ph.D. students in public administration, urban plan ning and engineering at the University of Illinois at Chicago (UIC). This experience and the comments and critieisms from students helped forge the final version.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 368 pp. Englisch. N° de réf. du vendeur 9783540972112
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Regression Analysis
Edité par
Springer-Verlag Berlin and Heidelberg GmbH and Co. KG, DE, 1994
ISBN 10 : 3540972110
ISBN 13 : 9783540972112
Neuf
Paperback
Vendeur : Rarewaves.com UK, London, Royaume-Uni
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Paperback. Etat : New. Any method of fitting equations to data may be called regression. Such equations are valuable for at least two purposes: making predictions and judging the strength of relationships. Because they provide a way of em pirically identifying how a variable is affected by other variables, regression methods have become essential in a wide range of fields, including the soeial seiences, engineering, medical research and business. Of the various methods of performing regression, least squares is the most widely used. In fact, linear least squares regression is by far the most widely used of any statistical technique. Although nonlinear least squares is covered in an appendix, this book is mainly ab out linear least squares applied to fit a single equation (as opposed to a system of equations). The writing of this book started in 1982. Since then, various drafts have been used at the University of Toronto for teaching a semester-Iong course to juniors, seniors and graduate students in a number of fields, including statistics, pharmacology, pharmacology, engineering, economics, forestry and the behav ioral seiences. Parts of the book have also been used in a quarter-Iong course given to Master's and Ph.D. students in public administration, urban plan ning and engineering at the University of Illinois at Chicago (UIC). This experience and the comments and critieisms from students helped forge the final version. Softcover reprint of the original 1st ed. 1990. N° de réf. du vendeur LU-9783540972112
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Regression Analysis
Edité par
Springer-Verlag Berlin and Heidelberg GmbH and Co. KG, DE, 1994
ISBN 10 : 3540972110
ISBN 13 : 9783540972112
Neuf
Paperback
Vendeur : Rarewaves.com USA, London, LONDO, Royaume-Uni
Évaluation du vendeur 4 sur 5 étoiles
Paperback. Etat : New. Any method of fitting equations to data may be called regression. Such equations are valuable for at least two purposes: making predictions and judging the strength of relationships. Because they provide a way of em pirically identifying how a variable is affected by other variables, regression methods have become essential in a wide range of fields, including the soeial seiences, engineering, medical research and business. Of the various methods of performing regression, least squares is the most widely used. In fact, linear least squares regression is by far the most widely used of any statistical technique. Although nonlinear least squares is covered in an appendix, this book is mainly ab out linear least squares applied to fit a single equation (as opposed to a system of equations). The writing of this book started in 1982. Since then, various drafts have been used at the University of Toronto for teaching a semester-Iong course to juniors, seniors and graduate students in a number of fields, including statistics, pharmacology, pharmacology, engineering, economics, forestry and the behav ioral seiences. Parts of the book have also been used in a quarter-Iong course given to Master's and Ph.D. students in public administration, urban plan ning and engineering at the University of Illinois at Chicago (UIC). This experience and the comments and critieisms from students helped forge the final version. Softcover reprint of the original 1st ed. 1990. N° de réf. du vendeur LU-9783540972112
Quantité disponible : Plus de 20 disponibles