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Add to basketHardcover. Condition: Good. No Jacket. Pages can have notes/highlighting. Spine may show signs of wear. ~ ThriftBooks: Read More, Spend Less 1.47.
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Add to basketHardcover. Condition: Good. No Jacket. Pages can have notes/highlighting. Spine may show signs of wear. ~ ThriftBooks: Read More, Spend Less 1.47.
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Add to baskethardcover. Condition: Gut. 364 Seiten; 9780387972114.3 Gewicht in Gramm: 1.
Published by Springer-Verlag Berlin and Heidelberg GmbH and Co. KG, DE, 1994
ISBN 10: 3540972110 ISBN 13: 9783540972112
Language: English
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Add to basketPaperback. Condition: 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.
Published by New York Springer Verlag, 1990
ISBN 10: 0387972110 ISBN 13: 9780387972114
Language: English
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Add to basketGebunden. 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 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 regression analysis. Consequently, this book provides a sound foundation in the theory of this important subject. Written for grade students ".
Published by Springer Berlin Heidelberg, 1994
ISBN 10: 3540972110 ISBN 13: 9783540972112
Language: English
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Published by Secaucus, New Jersey, U.S.A.: Springer Verlag, 1990
ISBN 10: 0387972110 ISBN 13: 9780387972114
Language: English
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Add to basketHardcover. Condition: Near Fine. 1st Edition. hardback book in near fine condition,sealed disk included,name on first blank page.
Published by Springer-Verlag Berlin and Heidelberg GmbH and Co. KG, DE, 1994
ISBN 10: 3540972110 ISBN 13: 9783540972112
Language: English
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Add to basketPaperback. Condition: 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.
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Add to basketHardcover. Condition: Very Good. Connecting readers with great books since 1972! Used books may not include companion materials, and may have some shelf wear or limited writing. We ship orders daily and Customer Service is our top priority!
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Add to basketCondition: New. PRINT ON DEMAND pp. 370.
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Add to basketCondition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Includes supplementary material: sn.pub/extrasRequest lecturer material: sn.pub/lecturer-materialAn up-to-date, rigorous, and lucid treatment of the theory, methods, and applications of regression analysis, and thus ideally suited for thos.
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Add to basketCondition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Includes supplementary material: sn.pub/extrasRequest lecturer material: sn.pub/lecturer-materialAn up-to-date, rigorous, and lucid treatment of the theory, methods, and applications of regression analysis, and thus ideally suited for thos.
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Condition: New. Print on Demand pp. 372 38 Figures, 52:B&W 6.14 x 9.21in or 234 x 156mm (Royal 8vo) Case Laminate on White w/Gloss Lam.
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Add to basketCondition: New. PRINT ON DEMAND pp. 372.