Regression Analysis: Theory, Methods and Applications
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Berlin, Heidelberg
Springer Berlin Heidelberg
1990
|
| Schriftenreihe: | Springer Texts in Statistics
|
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Beschreibung: | 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 |
| Beschreibung: | 1 Online-Ressource (XV, 348 p) |
| ISBN: | 9783662250921 9783540972112 |
| ISSN: | 1431-875X |
| DOI: | 10.1007/978-3-662-25092-1 |
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Datensatz im Suchindex
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| dewey-tens | 510 - Mathematics |
| discipline | Mathematik |
| doi_str_mv | 10.1007/978-3-662-25092-1 |
| format | Electronic eBook |
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| illustrated | Not Illustrated |
| indexdate | 2024-07-10T01:21:13Z |
| institution | BVB |
| isbn | 9783662250921 9783540972112 |
| issn | 1431-875X |
| language | English |
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| spelling | Sen, Ashish Verfasser aut Regression Analysis Theory, Methods and Applications by Ashish Sen, Muni Srivastava Berlin, Heidelberg Springer Berlin Heidelberg 1990 1 Online-Ressource (XV, 348 p) txt rdacontent c rdamedia cr rdacarrier Springer Texts in Statistics 1431-875X 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 Statistics Global analysis (Mathematics) Mathematical statistics Statistical Theory and Methods Analysis Statistik Diskette (DE-588)4122115-1 gnd rswk-swf Regressionsanalyse (DE-588)4129903-6 gnd rswk-swf Regressionsanalyse (DE-588)4129903-6 s Diskette (DE-588)4122115-1 s 1\p DE-604 Srivastava, Muni Sonstige oth https://doi.org/10.1007/978-3-662-25092-1 Verlag Volltext 1\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk |
| spellingShingle | Sen, Ashish Regression Analysis Theory, Methods and Applications Statistics Global analysis (Mathematics) Mathematical statistics Statistical Theory and Methods Analysis Statistik Diskette (DE-588)4122115-1 gnd Regressionsanalyse (DE-588)4129903-6 gnd |
| subject_GND | (DE-588)4122115-1 (DE-588)4129903-6 |
| title | Regression Analysis Theory, Methods and Applications |
| title_auth | Regression Analysis Theory, Methods and Applications |
| title_exact_search | Regression Analysis Theory, Methods and Applications |
| title_full | Regression Analysis Theory, Methods and Applications by Ashish Sen, Muni Srivastava |
| title_fullStr | Regression Analysis Theory, Methods and Applications by Ashish Sen, Muni Srivastava |
| title_full_unstemmed | Regression Analysis Theory, Methods and Applications by Ashish Sen, Muni Srivastava |
| title_short | Regression Analysis |
| title_sort | regression analysis theory methods and applications |
| title_sub | Theory, Methods and Applications |
| topic | Statistics Global analysis (Mathematics) Mathematical statistics Statistical Theory and Methods Analysis Statistik Diskette (DE-588)4122115-1 gnd Regressionsanalyse (DE-588)4129903-6 gnd |
| topic_facet | Statistics Global analysis (Mathematics) Mathematical statistics Statistical Theory and Methods Analysis Statistik Diskette Regressionsanalyse |
| url | https://doi.org/10.1007/978-3-662-25092-1 |
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