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Statistical Inference and Analysis - Selected Correspondence of R. A. Fisher (Hardcover): J.H. Bennett Statistical Inference and Analysis - Selected Correspondence of R. A. Fisher (Hardcover)
J.H. Bennett
R4,224 Discovery Miles 42 240 Ships in 12 - 17 working days

It is unlikely that anyone has had a greater impact on the methodology of scientific research in the twentieth century than Ronald Aylmer Fisher. From his early work in developing statistical methods needed for the interpretation of experimental data, he went on to recast the entire theoretical basis for mathematical statistics and to initiate the deliberate study and development of experimental design central to the whole process of the Natural Sciences. In clarifying the principles of inductive inference, Fisher greatly enlarged our understanding of the nature of uncertainty and contributed fundamentally to the philosophy of our age. This volume presents a selection from Fisher's letters on statistical inference and analysis and related topics. It also includes relevant material from the letters (from many distinguished scientists) to which he was replying. It is a companion volume to Natural selection, heredity, and eugenics: selected correspondence of R. A. Fisher with Leonard Darwin and others (ed. J. H. Bennett, Clarendon Press, Oxford, 1983).

Statistical Methods, Experimental Design, and Scientific Inference (Paperback): R.A. Fisher Statistical Methods, Experimental Design, and Scientific Inference (Paperback)
R.A. Fisher; Edited by J.H. Bennett; Foreword by F. Yates
R5,063 Discovery Miles 50 630 Ships in 12 - 17 working days

The writings of R.A. Fisher have proved to be as relevant today as when they were written. This book brings together as a single volume three of his most influential textbooks: Statistical Methods for Research Workers, Statistical Methods and Scientific Inference, and The Design of Experiments. In a new Foreword, written for this edition, Professor Frank Yates discusses some of the key issues tackled in the textbooks, and how they relate to modern statistical practice.

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