Fundamentals of Modern Statistical Methods: Substantially Improving Power and Accuracy
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." TECHNOMETRICS"The book may give a basic idea of what statistics can offer, for those with little or no exposure to statistics.” "This book … constitutes a wonderful complement to any introductory statistics course. The text is typically suited to the keen undergraduate student who seeks a deeper understanding of the historical background and modern developments of many commonly used statistical methods that are far too often taken for granted. The author approaches the subject matter in a highly accessible manner … . I would have no objection to any university library purchasing this book, as it would be a delightful addition to any statistical collection." (Gary S. Collins, Journal of Applied Statistics, Vol. 30 (1), 2003) "The book, authored by a professor of psychology with experience in applied statistics, is aimed at non-professional statisticians. … The statistical concepts are explained at an elementary level in a nontechnical way … . I recommend the book … . It is an excellent guide for practitioners and it has an extensive bibliography on bootstrap methods, making it an indispensable reference source. … The book may give a basic idea of what statistics can offer, for those with little or no exposure to statistics." (Gutti J. Babu, Technometrics, Vol. 44 (1), 2002) "This book is meant for the practitioners and experimentalists who need to use statistical techniques for understanding their observations. The issues addressed here are very important for them … . The relatively non-technical and illustrative description of the materials … serves the purpose very well. Besides, this book will help the final-semester undergraduate students to appreciate the limitations of what they have learnt and prepare them for an advanced level course on modern techniques, as the title suggests.” (Anup Dewanji, Sankhya: Indian Journal of Statistics, Vol. 64 (B Part 2), 2002) "This enjoyable book highlights some of the deficiencies of classical statistics and introduces some of the repairs offered by modern statistics in an easy-to-understand, intuitive style, aimed at the applied user of statistics. … With its low technical level the book makes suitable spare-time reading and the essential messages are quickly grasped with the aid of simple examples. … For a reader who has little prior knowledge … this book may fill a useful niche." (Alexander McNeil, ASTIN Bulletin, Vol. 32 (1), 2002) "This book is about understanding basic statistics from the point of view of modern developments. … The use of these methods is supported by many published journal articles. The goal here is: Explaining modern methods to applied researchers who might benefit from their use. The book will be useful to applied researchers in various fields who are looking for a judicious application of modern statistical techniques." (V. P. Gupta, Zentralblatt MATH, Vol. 969, 2001)