Ending the Mendel-Fisher Controversy - Franklin, Allan; Edwards, A. W. F.; Fairbanks, Daniel J.
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Presents conclusions on the controversy surrounding the challenge to Gregor Mendel's findings by British statistician and biologist R A Fisher. This volume offers an overview of the controversy; the original papers of Mendel and Fisher; and, four important papers on the debate.

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Produktbeschreibung
Presents conclusions on the controversy surrounding the challenge to Gregor Mendel's findings by British statistician and biologist R A Fisher. This volume offers an overview of the controversy; the original papers of Mendel and Fisher; and, four important papers on the debate.
Autorenporträt
Allan Franklin is professor in the Department of Physics at University of Colorado. He is the author of numerous books, including Are There Really Neutrinos? An Evidential History; Selectivity and Discord: Two Problems of Experiment; and No Easy Answers: Science and the Pursuit of Knowledge. A. W. F. Edwards was R. A. Fisher's last student. He is professor of biometry (emeritus) at Cambridge University. His work includes Likelihood; Foundations of Mathematical Genetics; Pascal's Arithmetical Triangle: The Story of a Mathematical Idea; and Cogwheels of the Mind: The Story of Venn Diagrams. Daniel J. Fairbanks is professor of plant and wildlife sciences and dean of undergraduate education at Brigham Young University. He is the author of Relics of Eden: The Powerful Evidence of Evolution in Human DNA and coauthor of Genetics: The Continuity of Life. Daniel L. Hartl is Higgins Professor of Biology in the Department of Organismic and Evolutionary Biology at Harvard University. He has authored or coauthored twenty books including Human Genetics; Principles of Population Genetics; Primer of Population Genetics; Genetics: Analysis of Genes and Genomes; and Essential Genetics: A Genomics Perspective. Teddy Seidenfeld is H. A. Simon Professor of Philosophy and Statistics in the Department of Philosophy at Carnegie Mellon University. He is coauthor of Rethinking the Foundations of Statistics.