Statistical models: theory and practice
This lively and engaging textbook provides the knowledge required to read empirical papers in the social and health sciences, as well as the techniques needed to build statistical models. The author explains the basic ideas of association and regression, and describes the current models that link th...
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| Format: | eBook |
| Language: | English |
| Published: |
Cambridge
Cambridge University Press
2005
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| Links: | https://doi.org/10.1017/CBO9781139165495 |
| Summary: | This lively and engaging textbook provides the knowledge required to read empirical papers in the social and health sciences, as well as the techniques needed to build statistical models. The author explains the basic ideas of association and regression, and describes the current models that link these ideas to causality. He focuses on applications of linear models, including generalized least squares and two-stage least squares. The bootstrap is developed as a technique for estimating bias and computing standard errors. Careful attention is paid to the principles of statistical inference. There is background material on study design, bivariate regression, and matrix algebra. To develop technique, there are computer labs, with sample computer programs. The book's discussion is organized around published studies, as are the numerous exercises - many of which have answers included. Relevant papers reprinted at the back of the book are thoroughly appraised by the author. |
| Physical Description: | 1 Online-Ressource (x, 414 Seiten) |
| ISBN: | 9781139165495 |
Staff View
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| spelling | Freedman, David 1938-2008 Statistical models theory and practice David A. Freedman Cambridge Cambridge University Press 2005 1 Online-Ressource (x, 414 Seiten) txt c cr This lively and engaging textbook provides the knowledge required to read empirical papers in the social and health sciences, as well as the techniques needed to build statistical models. The author explains the basic ideas of association and regression, and describes the current models that link these ideas to causality. He focuses on applications of linear models, including generalized least squares and two-stage least squares. The bootstrap is developed as a technique for estimating bias and computing standard errors. Careful attention is paid to the principles of statistical inference. There is background material on study design, bivariate regression, and matrix algebra. To develop technique, there are computer labs, with sample computer programs. The book's discussion is organized around published studies, as are the numerous exercises - many of which have answers included. Relevant papers reprinted at the back of the book are thoroughly appraised by the author. Erscheint auch als Druck-Ausgabe 9780521671057 Erscheint auch als Druck-Ausgabe 9780521854832 |
| spellingShingle | Freedman, David 1938-2008 Statistical models theory and practice |
| title | Statistical models theory and practice |
| title_auth | Statistical models theory and practice |
| title_exact_search | Statistical models theory and practice |
| title_full | Statistical models theory and practice David A. Freedman |
| title_fullStr | Statistical models theory and practice David A. Freedman |
| title_full_unstemmed | Statistical models theory and practice David A. Freedman |
| title_short | Statistical models |
| title_sort | statistical models theory and practice |
| title_sub | theory and practice |
| work_keys_str_mv | AT freedmandavid statisticalmodelstheoryandpractice |