The Statistical Sleuth: A Course in Methods of Data Analysis (Book & CD)
| Author | : | |
| Rating | : | 4.51 (691 Votes) |
| Asin | : | 0534386709 |
| Format Type | : | paperback |
| Number of Pages | : | 768 Pages |
| Publish Date | : | 0000-00-00 |
| Language | : | English |
DESCRIPTION:
He completed post-doctorate work at Johns Hopkins University. Fred Ramsey received his undergraduate degree from the University of Oregon (1961) and graduate degrees from Iowa State University (1963, 1964). He has been on the faculty of the Department of Statistics at Oregon State University since 1966, with leaves for teaching and research positions at the University of Copenhagen, Denmark (1972-1973); Murdoch University, Perth, Wester
"Good concept, more care needed with datasets" according to Ashtoreth. I have taught using this text 5 times now. I like the concept very much. My goals are to teach the students how to choose appropriate statistical tests and how to write up their results professionally. I very much like the concept of "project" exercises with real data sets.Unfortunately, many of the datasets contain faulty data. I doubt that I have a full list of example, but Chapter 2, Problem 2Good concept, more care needed with datasets I have taught using this text 5 times now. I like the concept very much. My goals are to teach the students how to choose appropriate statistical tests and how to write up their results professionally. I very much like the concept of "project" exercises with real data sets.Unfortunately, many of the datasets contain faulty data. I doubt that I have a full list of example, but Chapter 2, Problem 23 supposedly contains percent change in fatalities in states that retained and did not re. supposedly contains percent change in fatalities in states that retained and did not re. Excellent survey and introduction to statistics I have read more than 100 statistical texts on various subjects. This book is one of the best I've ever seen. It is extremely clear, well-organized, consistent in methodology and well-typeset. The use of well-documented case studies to illustrate every concept makes eclectic reading easy. The book also attempts to answer common trade-offs and philosophical points clearly. If I were teaching statistics, I'd use this text somewhere at the junior year level. I'd highly recommend it as a. "Excellent resource for the non-specialist practitioner" according to sweng. During my professional life I was several times in the situation of having to do statistical analysis of some data. I also saw other colleagues struggle with the same situation and it seems that for someone without a formal training in statistics and a lot of practical experience this is a strange mixture of technical know-how, guess-work and pure superstition.This is the book I've been looking for for years now, to learn how to do the job with a reasonable understanding of the choic
23. Bibliography. Simple Linear Regression: A Model for the Mean. Factorial Treatment Arrangements and Blocking Designs. Logistics Regression for Binary Response Variables. . Linear Combinations and Multiple Comparisons of Means. Index. Inferential Tools for Multiple Regression. Log-Linear Regression for Poisson Counts. 3. 18. Elements of Research Design. Comparisons among Several Samples. 1. Drawing Statistical Conclusions. 4. Logistic Regression for Binomial Counts. 20. 24. 2. More Tools for Tables of Counts. 21. 19. Multiple Regression. 22. Tables. Inference Using t-Distributions. 10. 13. Adjustment for Serial Correlation. 15. 17. Comparisons of Proportions or Odds. Repeated Measures and Other Multivariate Responses. Strategies for Variable Selec
STATISTICAL SLEUTH is an innovative treatment of general statistical methods, taking full advantage of the computer, both as a computational and an analytical tool. 54, No. 1), George Cobb commented, "What is new and different about Ramsey and Schafer's book, what makes it a 'larger contribution,' is that it gives much more prominence to modeling and interpretation of the sort that goes beyond the routine patterns." His students did "substantially better" on term papers based on the analysis of data. In the book, the focus is on a serious analysis of real case studies; on strategies and tools of modern statistical data analysis; on the interplay of statistics and scientific learning; and on the communication of results. The material is independent of any specific software package. With interesting examples, real data, and a variety of exercise types (conceptual, computational, and data problems), the authors get students excited about statistics.. In "The American Statistician" (February 2000, Vol