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Statistical Methods, Experimental Design, and Scientific Inference: A Re-issue of Statistical Methods for Research Workers, The Design of Experiments, and Statistical Methods and Scientific Inference
 
 
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Statistical Methods, Experimental Design, and Scientific Inference: A Re-issue of Statistical Methods for Research Workers, The Design of Experiments, and Statistical Methods and Scientific Inference [Paperback]

R. A. Fisher (Author), J. H. Bennett (Editor), F. Yates (Foreword)
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Book Description

August 9, 1990 0198522290 978-0198522294
This volume brings together three seminal works by the late R.A. Fisher, whose writings have had more influence on statistical theory and practice than any other 20th century statistician. It includes Statistical Methods for Research Workers, Statistical Methods and Scientific Inference, and The Design of Experiments, all republished in their entirety, with only minor corrections. An informative foreword by Dr. F. Yates, one of the author's closest colleagues and collaborators, discusses the key issues found in the texts, shedding new light on how Fisher's ideas have become mainstays of modern statistical practice.

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Editorial Reviews

Review


"Along with having direct teaching value, the letters will be an enormous resource as statisticians and other scholars increasingly seek to research, revalue, and place in scientific context the development of 20th century statistics." --Science


"A useful, indeed in many respects indispensable, adjunct to Fisher's papers. In these letters his writing is usually more relaxed, detailed, and as a result, clearer, than in his papers." --Mathematical Reviews


About the Author

Deceased

Product Details

  • Paperback: 870 pages
  • Publisher: Oxford University Press, USA (August 9, 1990)
  • Language: English
  • ISBN-10: 0198522290
  • ISBN-13: 978-0198522294
  • Product Dimensions: 8.5 x 5.4 x 1.8 inches
  • Shipping Weight: 1.4 pounds (View shipping rates and policies)
  • Average Customer Review: 5.0 out of 5 stars  See all reviews (3 customer reviews)
  • Amazon Best Sellers Rank: #949,156 in Books (See Top 100 in Books)

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41 of 41 people found the following review helpful:
5.0 out of 5 stars nice idea to collect Fisher's famous works, April 20, 2008
This review is from: Statistical Methods, Experimental Design, and Scientific Inference: A Re-issue of Statistical Methods for Research Workers, The Design of Experiments, and Statistical Methods and Scientific Inference (Paperback)
After pioneering a theory of mathematical statistics with his important works in the 1920s he published Statistical Methods for Research Workers to teach the method of maximum likelihood, significance testing and distribution theory. The Design of Experiments was the first book on experimental design. Fisher developed the principles of randomization and the analysis of variance. As a geneticist good scientific experimentation was important to him. He explains the principles beautifully through the lady tasting tea example. See also the wonderful book by Salsburg with that title. It gives a wonderful account of experimental design and Fisher's contributions to it. The third book is of lesser importance in my opinion and is a treatise about Fisher's philosophy about statistical inference and the scientific method.

I have my own copy of Design of Experiments and I believe these books are still in print individually. But it seems to me to be valuable to have them bound together in a single volume.
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36 of 37 people found the following review helpful:
5.0 out of 5 stars Historically important collection, January 17, 2005
This review is from: Statistical Methods, Experimental Design, and Scientific Inference: A Re-issue of Statistical Methods for Research Workers, The Design of Experiments, and Statistical Methods and Scientific Inference (Paperback)
This volume is a collection of three of R A Fisher (RAF)'s most important books. The importance of these books cannot be overstated as two of them have gone through many editions.

I'm sure most libraries should hold multiple copies of most books by R.A.F, an important figure in modern statistics. Should one buy this book? Of course IF the price is right. This rule should apply to most historically important books. Today's value of this book is mostly historical. There are certainly many original ideas in these books. But equally so are many of RAF's papers which are freely available, which one should read again and again.(...) So even if I rated RAF's works very highly, I agree with one of the reviewers' that, one should be careful in investing our very limited resources to get our most needed books. A general rule: priority should be given to newer books and the books that you will most need in the future.
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4 of 5 people found the following review helpful:
5.0 out of 5 stars Father of modern biostatistical analysis, September 12, 2009
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This review is from: Statistical Methods, Experimental Design, and Scientific Inference: A Re-issue of Statistical Methods for Research Workers, The Design of Experiments, and Statistical Methods and Scientific Inference (Paperback)
Incredible to read the actual writings of the greatest statistician of the 20th century. Excellent volume that includes several important works.
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Inside This Book (learn more)
First Sentence:
THE science of statistics is essentially a branch of Applied Mathematics, and may be regarded as mathematics applied to observational data. Read the first page
Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
single potash, intrablock subgroup, portion ascribable, fiducial distribution, curved regression lines, fiducial argument, fiducial probability, inefficient statistics, systematic squares, exact probability statements, freedom ascribed, dependent variate, manurial treatment, true dice, mathematical likelihood, manurial response, recombination percentage, symmetrical table, preliminary yields, cyclic substitution, simultaneous distribution, differential viability, two variates, randomised blocks, triple interactions
Key Phrases - Capitalized Phrases (CAPs): (learn more)
Annals of Eugenics, Proceedings of the Royal Society, Journal of Agricultural Science, Proceedings of the Cambridge Philosophical Society, American Naturalist, Annals of Applied Biology, New York, British Association, Journal of Genetics, Journal of Theoretical Biology, Practical Exercises, Annals of Mathematical Statistics, Karl Pearson, Mathematical Tables, Meramec Highlands, Queen Eye, University of Adelaide, Basal Row, Chloride Row, Fisher Inverse, Proceedings of the London Mathematical Society, Sulphate Row
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