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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.
Reseña del editor
This book gives an up-to-date, rigorous, and lucid treatment of the theory, methods, and applications of regression analysis. It is ideally suited for those interested in the theory of regression analysis as well as to those whose interests lie primarily with applications. It is further enhanced through real-life examples drawn from many disciplines showing the difficulties typically encountered in the practice of the craft of regression analysis. Consequently, this book provides a sound foundation in the theory of this important subject. "I found this to be the most complete and up-to-date regression text I have come across...this text has much to offer." Journal of the American Statistical Association "The material is presented in a lucid and easy-to-understand style...can be ranked as one of the best textbooks on regression in the market." Mathematical Reviews "...a successful mix of theory and practice...It will serve nicely to teach both the logic behind regression and the data-analytic use of regression." SIAM Review
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- EditorialSpringer
- Año de publicación1994
- ISBN 10 3540972110
- ISBN 13 9783540972112
- EncuadernaciónTapa blanda
- IdiomaInglés
- Número de páginas368
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Regression analysis. Theory, methods, and applications.
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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. Nº de ref. del artículo: 2431279
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Regression analysis. theory, methods, and applications.
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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. Nº de ref. del artículo: 2086527
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Regression analysis. Springer texts in statistics.
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New York u.a., Springer, 1990
ISBN 10: 3540972110
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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. Nº de ref. del artículo: 2396654
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Regression Analysis: Theory, Methods and Applications (Springer Texts in Statistics)
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Regression Analysis: Theory, Methods And Applications (Springer Texts In Statistics)
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Condición: 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. Nº de ref. del artículo: 375022
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Regression Analysis: Theory, Methods and Applications (Springer Texts in Statistics)
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Regression Analysis : Theory, Methods and Applications
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Taschenbuch. Condición: 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. Nº de ref. del artículo: 9783540972112
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Regression Analysis: Theory, Methods and Applications (Springer Texts in Statistics)
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Regression Analysis
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Springer Berlin Heidelberg, 1994
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Regression Analysis
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ISBN 10: 3540972110
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Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - 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. 368 pp. Englisch. Nº de ref. del artículo: 9783540972112
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