An outstanding introduction to the fundamentals of regression analysis-updated and expanded The methods of regression analysis are the most widely used statistical tools for discovering the relationships among variables. This classic text, with its emphasis on clear, thorough presentation of concept
Applied Regression Analysis, Third Edition (Wiley Series in Probability and Statistics)
β Scribed by Norman R. Draper, Harry Smith
- Year
- 1998
- Tongue
- English
- Leaves
- 704
- Edition
- Third
- Category
- Library
No coin nor oath required. For personal study only.
β¦ Subjects
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Master linear regression techniques with a new edition of a classic textReviews of the Second Edition:"I found it enjoyable reading and so full of interesting material that even the well-informed reader will probably find something new . . . a necessity for all of those who do linear regression."βTe
This book provides a broad, mature, and systematic introduction to current financial econometric models and their applications to modeling and prediction of financial time series data. It utilizes real-world examples and real financial data throughout the book to apply the models and methods describ
Concise, mathematically clear, and comprehensive treatment of the subject.* Expanded coverage of diagnostics and methods of model fitting.* Requires no specialized knowledge beyond a good grasp of matrix algebra and some acquaintance with straight-line regression and simple analysis of variance mode
Logistic regression is a very handy statistical tool. It does not demand much of the data (no need for variables to be normally distributed). Also, it can be used with dichotomous dependent variables. Multiple regression is often used for such purposes, but--technically--that might provide misleadin
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