Average Reviews:
(More customer reviews)I have a couple of shelves full of introductory statistics books, but for various reasons none have ever seemed suitable for my undergraduate biology/ecology students. Daniel Kaplan has now given me a book I can confidently recommend.
This book, as the title suggest, focusses on a modeling/regression approach but still includes an appropriate discussion on null hypothesis testing and anova. This discussion comes near the end of the book once the modeling approach is clearly understood. It could easily be used as a first statistics book (which is how I would use it), but it could also follow a more traditional null hypothesis based first course.
The writing style is clear and easily followed, with just enough explanation to understand why something is being done, but without the mathematical notation that scares so many students away. A geometrical approach is taken to explain some of the more theoretical aspects. It's also just long enough to be useful, without intimidating students with an enormous number of pages. Chapters are generally short and there is a nice logical flow as you work through the book. The practical examples use R, are well thought out, and great care is taken to explain the output.
Probably not the book for an undergraduate statistician, but for other disciplines that need a good understanding of not only statistical practice, but also statistical thinking, I have yet to come across anything better. Indeed I am so impressed with this book that I felt compelled to write my first ever Amazon review.
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"Statistical Modeling: A Fresh Approach" introduces and illuminates the statistical reasoning used in modern research throughout the natural and social sciences, medicine, government, and commerce.It emphasizes the use of models to untangle and quantify variation in observed data.By a deft and concise use of computing coupled with an innovative geometrical presentation of the relationship among variables,"A Fresh Approach" reveals the logic of statistical inference and empowers the reader to use and understand techniques such as analysis of covariance that are widely used in published research but hardly ever found in introductory texts.Recognizing the essential role the computer plays in modern statistics,{\em A Fresh Approach}provides a complete and self-contained introduction to statistical computing using the powerful (and free) statistics package R.Exercises, software and datasets for the book are available at www.macalester.edu/~kaplan/ISM.
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