Regression Analysis Theory Methods by Sen Ashish (39 results)
Language: English
Published by Springer New York 1990
Series: Springer Texts in Statistics, Book 55 of 111. Book 55 of 111 - Springer Texts in Statistics
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Language: English
Published by Springer New York 1990
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Language: English
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Language: English
Published by Springer 1990
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Language: English
Published by Springer 1990
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Language: English
Published by Springer 1990
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Language: English
Published by Springer 1994
Series: Springer Texts in Statistics, Book 55 of 111. Book 55 of 111 - Springer Texts in Statistics
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Language: English
Published by Springer 1990
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Language: English
Published by Springer 1990
Series: Springer Texts in Statistics, Book 55 of 111. Book 55 of 111 - Springer Texts in Statistics
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Condition: 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.
Language: English
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Language: English
Published by Springer 1994
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Language: English
Published by Springer 1994-01 1994
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Language: English
Published by Springer 1994
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Language: English
Published by Springer New York 2011
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Language: English
Published by Springer 1994
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Language: English
Published by Springer 1990
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Language: English
Published by Springer 2011
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Language: English
Published by Springer New York 1990-01-01 1990
Series: Springer Texts in Statistics, Book 55 of 111. Book 55 of 111 - Springer Texts in Statistics
- Softcover
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Language: English
Published by Springer 2011
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Language: English
Published by Springer New York 1997
Series: Springer Texts in Statistics, Book 55 of 111. Book 55 of 111 - Springer Texts in Statistics
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Condition: Sehr gut. Zustand: Sehr gut | Seiten: 368 | Sprache: Englisch | Produktart: Bücher | 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 identif…ying how a variable is affected by other variables, regression methods have become essential in a wide range of fields, including the social sciences, 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 about 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-long course to juniors, seniors and graduate students in a number of fields, including statistics, pharmacology, engineering, economics, forestry and the behav ioral sciences. Parts of the book have also been used in a quarter-long 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 criticisms from students helped forge the final version.
Language: English
Published by Springer New York 1997
Series: Springer Texts in Statistics, Book 55 of 111. Book 55 of 111 - Springer Texts in Statistics
- Hardcover
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Condition: Gut. Zustand: Gut | Seiten: 368 | Sprache: Englisch | Produktart: Bücher | 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 social sciences, 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 about 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-long course to juniors, seniors and graduate students in a number of fields, including statistics, pharmacology, engineering, economics, forestry and the behav ioral sciences. Parts of the book have also been used in a quarter-long 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 criticisms from students helped forge the final version.
Language: English
Published by Springer 1994
Series: Springer Texts in Statistics, Book 55 of 111. Book 55 of 111 - Springer Texts in Statistics
- Softcover
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Taschenbuch. Condition: 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 vari…able 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.
Language: English
Published by Springer 1990
Series: Springer Texts in Statistics, Book 55 of 111. Book 55 of 111 - Springer Texts in Statistics
- Hardcover
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Language: English
Published by New York Springer Verlag 1990
Series: Springer Texts in Statistics, Book 55 of 111. Book 55 of 111 - Springer Texts in Statistics
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Gebunden. Condition: Gut. " Gebraucht - Gut Zustand: Gut, Mängelexemplar, XV, 347 pp. 38 figs., 3 1/2\" diskette About this book: An up-to-date, rigorous, and lucid treatment of the theory, methods, and applications of regression analysis, and thus ideally suited for those interested in the theory as well as those whose interest…s 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 regression analysis. Consequently, this book provides a sound foundation in the theory of this important subject. Written for grade students ".
Language: English
Published by Springer 1994
Series: Springer Texts in Statistics, Book 55 of 111. Book 55 of 111 - Springer Texts in Statistics
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Language: English
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Language: English
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Language: English
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Language: English
Published by Springer New York 2012
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