The authors provide a systematic treatment of the major problems involved in using regression analysis. They clearly and concisely discuss the consequences of violating the assumptions of the regression model, procedures for detecting violations, and strategies for dealing with these problems.
+ Clearly written, understandable, and enormously helpful
This book saved my life! It provided clear explanations and great examples of how to use and interpret regressions with dummy variables. I don't know how I would have passed without it. An extra bonus for people interested in strat--the examples deal with inequality.
With a robust statistical package and eye-catching graphics Stata is fast becoming the statistical program of choice for political scientists. For speed, versatility, comprehensiveness, and ease-of-use, Stata is hard to beat. It can be a little daunting for beginning students, but no longer. Philip Pollock's accessible introduction to the program offers students a step-by-step tutorial, ...
Although Achen's work has been written in 1982, before the booming computer packages and the dawn of internet age, the text is straightforward and grants the readers an adequate coverage on the techniques of regressions.
Overall, the book was very helpful but its value to the uninitiated would be enhanced if it offered more explicit instructions for the entering, analyses and interpretation of SPSS and SAS outputs. As written, it is sound from the standpoint of theoretical mathematics; however, it assumes the ...
another well-written and popular text by David Moore
+ Strengths and Weaknesses, But Still Among the Best Options + A great book with a very down to earth approach to statistical inference
David Moore is a Professor of Statistics at Purdue University. He is both a great teacjer and a scholar. In addition to one or two well-written advanced books he has written a number of high quality introductory statistics books and has led the movement toward AP statistics in the high schools ...
This Fourth Edition includes new sections on graphs, robust estimation, expected value and the bootstrap, in addition to new material on the use of computers. The regression model is well covered, including both nonlinear and multiple regression. The chapters contain many real-life examples and are relatively self-contained, making adaptable to a variety of courses.
Although Achen's work has been written in 1982, before the booming computer packages and the dawn of internet age, the text is straightforward and grants the readers an adequate coverage on the techniques of regressions.
+ Clearly written, understandable, and enormously helpful
This book saved my life! It provided clear explanations and great examples of how to use and interpret regressions with dummy variables. I don't know how I would have passed without it. An extra bonus for people interested in strat--the examples deal with inequality.
With a robust statistical package and eye-catching graphics Stata is fast becoming the statistical program of choice for political scientists. For speed, versatility, comprehensiveness, and ease-of-use, Stata is hard to beat. It can be a little daunting for beginning students, but no longer. Philip Pollock's accessible introduction to the program offers students a step-by-step tutorial, ...
another well-written and popular text by David Moore
+ Strengths and Weaknesses, But Still Among the Best Options + A great book with a very down to earth approach to statistical inference
David Moore is a Professor of Statistics at Purdue University. He is both a great teacjer and a scholar. In addition to one or two well-written advanced books he has written a number of high quality introductory statistics books and has led the movement toward AP statistics in the high schools ...
This Fourth Edition includes new sections on graphs, robust estimation, expected value and the bootstrap, in addition to new material on the use of computers. The regression model is well covered, including both nonlinear and multiple regression. The chapters contain many real-life examples and are relatively self-contained, making adaptable to a variety of courses.
Overall, the book was very helpful but its value to the uninitiated would be enhanced if it offered more explicit instructions for the entering, analyses and interpretation of SPSS and SAS outputs. As written, it is sound from the standpoint of theoretical mathematics; however, it assumes the ...
The authors provide a systematic treatment of the major problems involved in using regression analysis. They clearly and concisely discuss the consequences of violating the assumptions of the regression model, procedures for detecting violations, and strategies for dealing with these problems.
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