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An exploration of the statistical foundations of scientific inference, The Nature of Scientific Evidence asks what constitutes scientific evidence and whether scientific evidence can be quantified statistically. Mark Taper, Subhash Lele, and an esteemed group of contributors explore the relationships among hypotheses, models, data, and inference on which scientific progress rests in an attempt to develop a new quantitative framework for evidence. Informed by interdisciplinary discussions among scientists, philosophers, and statisticians, they propose a new "evidential" approach, which may be more in keeping with the scientific method. The Nature of Scientific Evidence persuasively argues that all scientists should care more about the fine points of statistical philosophy because therein lies the connection between theory and data.
Though the book uses ecology as an exemplary science, the interdisciplinary evaluation of the use of statistics in empirical research will be of interest to any reader engaged in the quantification and evaluation of data.
- Sales Rank: #2118565 in Books
- Published on: 2004-10-01
- Released on: 2004-10-01
- Original language: English
- Number of items: 1
- Dimensions: 9.00" h x 1.30" w x 6.00" l, 1.73 pounds
- Binding: Paperback
- 448 pages
Review
"The book is a rare find: a source that could be used in graduate seminars in statistics, philosophy, or biology....It is brimming with ideas....It deserves a read by everyone."
(Marc Mangel Science 2004-11-26)
"This is a challenging, stimulating, and important book Although some of the chapters are not for the statistically naive, all are thorough and provocative....The Nature of Scientific Evidence should be read by all ecologists who interpret data as evidence for or against specific hypotheses."
(Gerry Quinn Trends in Ecology and Evolution 2005-04-01)
"The Nature of Scientific Evidence may well be viewed as a landmark publication in years to come, one that was the precursor to a new set of statistical methodologies based on evidence and likelihood. . . . We unreservedly recommend it to every ecologist wanting to understand more about the relationship between logic, evidence, analysis and inference – which, after all, constitutes the essence of the scientific method." (Graeme Hastwell and S. Raghu Austral Ecology)
"The book is important not because of its specific content, but because of what it represents: a cross-disciplinary dialogue that addresses key issues in data analysis." (Nicholas J. Gotelli Ecoscience)
"It is precisely because this nicely and carefully edited book will provide more questions than answers that it deserves to be read and discussed by the wide audience of statisticians, philosophers of science, and scientists to whom it addresses the important problem of the evaluation of scientific evidence." (Pablo Inchausti Quarterly Review of Biology)
"This volume is a wonderful guide helping ecologists to understand many of the statistical nuances as well as an introduction to some deep-rooted methodological and philosophical issues in data analysis. . . . An important and necessary discussion that ecologists need to have." (Marc W. Cadotte Biodiversity Conservation)
From the Inside Flap
"An important role of statistical analysis in science is for interpreting observed data as evidence—showing 'what the data say.' Although the standard statistical methods (hypothesis testing, estimation, confidence intervals) are routinely used for this purpose, the theory behind those methods contains no defined concept of evidence, and no answer to the basic question: 'When is it correct to say that a given body of data represents evidence supporting one statistical hypothesis over another?' or to its sequel: 'Can we give an objective measure of the strength of statistical evidence?'" From The Nature of Scientific Evidence
An exploration of the statistical foundations of scientific inference, The Nature of Scientific Evidence asks what constitutes scientific evidence and whether scientific evidence can be quantified statistically. Mark Taper, Subhash Lele, and an esteemed group of contributors explore the relationships among hypotheses, models, data, and inference on which scientific progress rests in an attempt to develop a new quantitative framework for evidence. Informed by interdisciplinary discussions among scientists, philosophers, and statisticians, they propose a new "evidential" approach, which may be more in keeping with the scientific method. The Nature of Scientific Evidence persuasively argues that all scientists should care more about the fine points of statistical philosophy because therein lies the connection between theory and data.
Though the book uses ecology as an exemplary science, the interdisciplinary evaluation of the use of statistics in empirical research will be of interest to any reader engaged in the quantification and evaluation of data.
About the Author
Mark L. Taper is an associate professor in the Department of Ecology at Montana State University. Subhash R. Lele is a professor in the Department of Mathematics and Statistical Sciences at the University of Alberta.
Most helpful customer reviews
2 of 2 people found the following review helpful.
uhmmm...
By FG
This book has an interesting structure: each chapter is written by a different author who presents his/her ideas, which are then refuted, supported, improved or challenged by others, to finally let the author to submit a reply.
Unfortunately, this same structure lets the reader to appreciate strong contradictions between authors. More than a conversation between intelligent people (as says a reviewer of the book), it seems to be a conversation between confused people. Anyway, perhaps this is a manifestation of the current state of statistical ideas and the book gives readers an opportunity to form their own opinion.
It may be interesting to have this book as a reference, or for philosophical meditation but this is not a book for beginners.
Before this book, I would recommend to read the book "The Nature of Statistical Evidence" (Bill Thompson).
0 of 2 people found the following review helpful.
Very good!!
By Gustaf G
A good read for anyone in science. You don't need any previous knowledge in philosophy of science but some basic understanding about statistical methods is helpful. Since the book uses examples from ecology, this is a good book for ecologists, both graduate students and professors.
1 of 4 people found the following review helpful.
Terrible
By Robert Kaufman
When I bought this terrible book,I
really thought that it would clarify
all the different modern approaches
to statistics, but it did nothing of the kind.
I taught statistics for thirty five years,and
I can say with confidence that every
article in this book is horrible. Just in case I
wasn't clear, STAY AWAY FROM THIS
BOOK!
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