Introduction to regression modeling
Using a data-driven approach, this book is an exciting blend of theory and interesting regression applications. Students learn the theory behind regression while actively applying it. Working with many case studies, projects, and exercises from areas such as engineering, business, social sciences, a...
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| Tác giả chính: | |
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| Tác giả khác: | |
| Ngôn ngữ: | Undetermined English |
| Được phát hành: |
Belmont, CA
Thomson Brooks/Cole
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| Những chủ đề: | |
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| Thư viện lưu trữ: | Trung tâm Học liệu Trường Đại học Trà Vinh |
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| LEADER | 01912nam a2200253Ia 4500 | ||
|---|---|---|---|
| 001 | TVU_15189 | ||
| 008 | 210423s9999 xx 000 0 und d | ||
| 020 | |a 0534420753 | ||
| 020 | |a 9780534420758 | ||
| 041 | |a eng | ||
| 082 | |a 519.536 | ||
| 082 | |b B435 | ||
| 100 | |a Abraham, Bovas | ||
| 245 | 0 | |a Introduction to regression modeling | |
| 245 | 0 | |c Bovas Abraham, Johannes Lodolter | |
| 260 | |a Belmont, CA | ||
| 260 | |b Thomson Brooks/Cole | ||
| 300 | |a xiv, 433 p. | ||
| 300 | |b ill. | ||
| 300 | |c 25 cm + | ||
| 520 | |a Using a data-driven approach, this book is an exciting blend of theory and interesting regression applications. Students learn the theory behind regression while actively applying it. Working with many case studies, projects, and exercises from areas such as engineering, business, social sciences, and the physical sciences, students discover the purpose of regression and learn how, when, and where regression models work. The book covers the analysis of observational data as well as of data that arise from designed experiments. Special emphasis is given to the difficulties when working with observational data, such as problems arising from multicollinearity and "messy" data situations that violate some of the usual regression assumptions. Throughout the text, students learn regression modeling by solving exercises that emphasize theoretical concepts, by analyzing real data sets, and by working on projects that require them to identify a problem of interest and collect data that are relevant to the problem's solution. The book goes beyond linear regression by covering nonlinear models, regression models with time series errors, and logistic and Poisson regression models | ||
| 650 | |a Logistic regression analysis; Regression analysis; Linear models (Mathematics) | ||
| 700 | |a Bovas Abraham; Johannes Lodolter | ||
| 980 | |a Trung tâm Học liệu Trường Đại học Trà Vinh | ||