## Leading personalities in statistical sciences: from the seventeenth century to the presentA fascinating chronicle of the lives and achievements of the men and women who helped shapethe science of statistics This handsomely illustrated volume will make enthralling reading for scientists, mathematicians, and science history buffs alike. Spanning nearly four centuries, it chronicles the lives and achievements of more than 110 of the most prominent names in theoretical and applied statistics and probability. From Bernoulli to Markov, Poisson to Wiener, you will find intimate profiles of women and men whose work led to significant advances in the areas of statistical inference and theory, probability theory, government and economic statistics, medical and agricultural statistics, and science and engineering. To help readers arrive at a fuller appreciation of the contributions these pioneers made, the authors vividly re-create the times in which they lived while exploring the major intellectual currents that shaped their thinking and propelled their discoveries. Lavishly illustrated with more than 40 authentic photographs and woodcuts * Includes a comprehensive timetable of statistics from the seventeenth century to the present * Features edited chapters written by 75 experts from around the globe * Designed for easy reference, features a unique numbering scheme that matches the subject profiled with his or her particular field of interest |

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### Contents

Forerunners | 1 |

Statistical Inference | 81 |

Statistical Theory | 171 |

Copyright | |

37 other sections not shown

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Academy of Sciences analysis applications Arbuthnot asymptotic Bayes became Berkeley Bernoulli bibliography Bienayme Biometrika Bol'shev Born calculations Cambridge Cantelli central limit central limit theorem Chebyshev Chuprov correlation death design of experiments developed Died distribution E. S. Pearson economics edition estimation function Gini Gini's Gosset Goulden Graunt Guttman Hannan History of Statistics Hoeffding honorary ideas interest International Statistical Institute J. R. Statist Jerzy Neyman Karl Pearson Kitagawa Koniis Laplace large numbers later law of large lectures limit theorem linear Linnik London Markov Math mathematical statistics Moscow multivariate Neyman nonparametric obituary paper parameters Paris Pearson population probabilistic probability theory problems Proc professor published R. A. Fisher random variables REFERENCES Reprinted Royal Statistical Society Russian sample scientific selection Seneta Snedecor statistical inference statistical methods statistical theory statisticians stochastic tables Theory of Probability tion Wald Wargentin Wiley Wolfowitz Yates York