Fundamentals of Modern Statistical Methods
Substantially Improving Power and Accuracy
(Sprache: Englisch)
Conventional statistical methods have a very serious flaw: They routinely miss differences among groups or associations among variables that are detected by more modern techniques - even under very small departures from normality. Hundreds of journal...
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Conventional statistical methods have a very serious flaw: They routinely miss differences among groups or associations among variables that are detected by more modern techniques - even under very small departures from normality. Hundreds of journal articles have described the reasons standard techniques can be unsatisfactory, but simple, intuitive explanations are generally unavailable. Improved methods have been derived, but they are far from obvious or intuitive based on the training most researchers receive. Situations arise where even highly nonsignificant results become significant when analyzed with more modern methods. Without assuming any prior training in statistics, Part I of this book describes basic statistical principles from a point of view that makes their shortcomings intuitive and easy to understand. The emphasis is on verbal and graphical descriptions of concepts. Part II describes modern methods that address the problems covered in Part I. Using data from actual studies, many examples are included to illustrate the practical problems with conventional procedures and how more modern methods can make a substantial difference in the conclusions reached in many areas of statistical research.
Klappentext zu „Fundamentals of Modern Statistical Methods “
Conventional statistical methods have a very serious flaw: They routinely miss differences among groups or associations among variables that are detected by more modern techniques - even under very small departures from normality. Hundreds of journal articles have described the reasons standard techniques can be unsatisfactory, but simple, intuitive explanations are generally unavailable. Improved methods have been derived, but they are far from obvious or intuitive based on the training most researchers receive. Situations arise where even highly nonsignificant results become significant when analyzed with more modern methods. Without assuming any prior training in statistics, Part I of this book describes basic statistical principles from a point of view that makes their shortcomings intuitive and easy to understand. The emphasis is on verbal and graphical descriptions of concepts. Part II describes modern methods that address the problems covered in Part I. Using data from actual studies, many examples are included to illustrate the practical problems with conventional procedures and how more modern methods can make a substantial difference in the conclusions reached in many areas of statistical research.
Conventional statistical methods have a very serious flaw: They routinely miss differences among groups or associations among variables that are detected by more modern techniques - even under very small departures from normality. Hundreds of journal articles have described the reasons standard techniques can be unsatisfactory, but simple, intuitive explanations are generally unavailable. Improved methods have been derived, but they are far from obvious or intuitive based on the training most researchers receive. Situations arise where even highly nonsignificant results become significant when analyzed with more modern methods. Without assuming any prior training in statistics, Part I of this book describes basic statistical principles from a point of view that makes their shortcomings intuitive and easy to understand. The emphasis is on verbal and graphical descriptions of concepts. Part II describes modern methods that address the problems covered in Part I. Using data from actual studies, many examples are included to illustrate the practical problems with conventional procedures and how more modern methods can make a substantial difference in the conclusions reached in many areas of statistical research. Rand Wilcox is a professor of psychology at the University of Southern California.
Inhaltsverzeichnis zu „Fundamentals of Modern Statistical Methods “
Part I: - Genesis of a Science
- Derivation Curve
- What Am I Holding
- Least Squares
- Quantifying Accuracy
- Solving Bernoulli's Problem
- Promoting Normality
Part II:
- Exploiting Normality
- Dealing with Small Samples Sizes
- Correlation
Part III:
- Dealing with Nonnormality
- Revolution with a Whimper
- Robust Methods
- Bootstrap
- Conclusion.
Bibliographische Angaben
- Autor: Rand R. Wilcox
- 2001, 276 Seiten, Maße: 15,5 x 23,5 cm, Gebunden, Englisch
- Verlag: Springer, Berlin
- ISBN-10: 0387951571
- ISBN-13: 9780387951577
Sprache:
Englisch
Rezension zu „Fundamentals of Modern Statistical Methods “
From the reviews: PERCEPTUAL & MOTOR SKILLS "The writing is simple and direct...The explicit goals set by the author, reminiscent of Lindquist's presentation of some elementary ideas in analysis, are excellent...The volume is a jewel of direct explanations and information necessary for good understanding of analysis of data, aimed at ordinary researchers who must try to present reasonable interpretable accounts of their data or judge when to abandon a particular strategy and for what reason." SHORT BOOK REVIEWS "... a very readable introduction about understanding basic statistics from the point of view of modern developments and insights achieved during the past forty years. ... This is an excellent book, which gives a thorough and very clear description of today's most important techniques of the basic standard methods with some historical background and special attention to keep the technical details to a minimum. The author has performed a real service to the profession. The book is not only highly recommended, but it should be required reading for anyone embarking on a career as a statistician in any field where a critical evaluation of data is required."
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