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
ISBN-13:
9780198522294
ISBN-10:
0198522290
Edition:
1
Author:
R a Fisher, J. H. Bennett
Publication date:
1990
Publisher:
Oxford University Press
Format:
Paperback
832 pages
Category:
Applied
,
Mathematics
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Book details
ISBN-13:
9780198522294
ISBN-10:
0198522290
Edition:
1
Author:
R a Fisher, J. H. Bennett
Publication date:
1990
Publisher:
Oxford University Press
Format:
Paperback
832 pages
Category:
Applied
,
Mathematics
Summary
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 (ISBN-13: 9780198522294 and ISBN-10: 0198522290), written by authors
R a Fisher, J. H. Bennett, was published by Oxford University Press in 1990.
With an overall rating of 4.4 stars, it's a notable title among other
Applied
(Mathematics) books. You can easily purchase or rent 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, Used) from BooksRun,
along with many other new and used
Applied
books
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And, if you're looking to sell your copy, our current buyback offer is $22.23.
Description
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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