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Annotated Readings in the History of Statistics (Springer Series in Statistics)by H. A. David and A. W. F. Edwards
Synopses & Reviews
This collection of classic articles in statistics combined with commentary by the editors will be of interest to all serious statisticians.
This book provides a selection of pioneering papers or extracts ranging from Pascal (1654) to R.A. Fisher (1930). The editors' annotations put the articles in perspective for the modern reader. A special feature of the book is the large number of translations, nearly all made by the authors. There are several reasons for studying the history of statistics: intrinsic interest in how the field of statistics developed, learning from often brilliant ideas and not reinventing the wheel, and livening up general courses in statistics by reference to important contributors.
This book provides a selection of pioneering papers or extracts ranging from Pascal (1654) to R.A. Fisher (1930). The authors' annotations put the articles in perspective for the modern reader. A special feature of the book is the large number of translations, nearly all made by the authors. The selected articles vary considerably in difficulty, some requiring only a basic understanding of statistical concepts, whereas others surprise by their early sophistication in classical statistics. There are several reasons for studying the history of statistics: intrinsic interest in how the field of statistics developed, learning from often brilliant ideas and not reinventing the wheel, and livening up general courses in statistics by reference to important contributors. Herbert A. David is Distinguished Professor Emeritus in the Department of Statistics, Iowa State University and served as Department Head from 1972 to 184. He was Editor of Biometric from 1967 to 1972 and President of Biometric Society for 1982-1983. His publications include books on Order Statistics (Wiley 1970, 1981) and The Method of Paired Comparisons (Griffin 1963, 1988). Apart from articles in these two areas he has written on statistical inference, experimental designs, competing risks, and the history of statistics. He received a Ph.D. in statistics from University College London in 1953. A.W.F. Edwards is Reader in Biometry in the University of Cambridge. He was President of the British Region of the Biometric Society in 1992-1994 and is Chairman of the Christiaan Huygens Committee for the History of Statistics of the International Statistical Institute. His publications include the books Likelihood (Cambridge University Press 1972, Johns Hopkins University Press 1992), Foundations of Mathematical Genetics (Cambridge University Press 1977, 2000), and Pascal's Arithmetical Triangle (Griffin 1987). He holds the degrees of Ph.D. and Sc.D. from Cambridge University.
Table of Contents
Introduction.- The Introduction of the Concept of Expectation-Pascal (1654), Huygens (1657), and Pascal (1665).- The First Example of a Formal Test of Significance - Arbuthnott (1712).- The Evolution of the Principle of Inclusion and Exclusion - Montmort (1713) and Moivre (1756).- The First Example of the Method of Maximum Likelihood - Lambert (1760).- The Use of the Method of Maximum Probability to Derive the Normal Distribution - Gauss (1809).- The Determination of the Accuracy of Observations - Gauss (1816).- The Introduction of Asymptotic Efficiency - Laplace (1818).- The Distributions in Normal Samples of (a) the Sum of Squares about the Population Mean, (b) the Circular Sum of Squares of Successive Differences, and (c) the Circular Serial Correlation Coefficient - Ernst Abbe (1862).- Yule's Paradox (Simpson's Paradox) - Yule (1903).- Beginnings of Extreme- Value Theory - Bortkiewicz (1922) and Mises (1923).- The Evaluation of Tournament Outcomes - Zermelo (1929).- The Evolution of the Concept of Confidence Limits - Fisher (1930), Neyman (1934), and Fisher (1934).
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