## Annotated Readings in the History of StatisticsThis 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. |

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### Contents

Comments on Pascal 1654 | 1 |

Comments on Arbuthnott 1710 | 7 |

Comments on Montmort 1713 N Bernoulli 1713 and de Moivre 1718 | 19 |

On the Game of Thirteen | 25 |

Letter from Nicholas Bernoulli to Montmort on the Game of Thirteen reproduced in Montmort 1713 p 301 | 31 |

The DOCTRINE of CHANCES | 32 |

Comments on Gauss 1816 | 37 |

The Determination of the Accuracy of Observations | 41 |

The Calculation of the Probable Error from the Squares of the Adjusted Direct Observations of Equal Precision and Fechners Formula | 109 |

Comments on Venn 1888 | 115 |

Comments on Thiele 1889 | 129 |

Comments on Yule 1903 | 137 |

Comments on Bortkiewicz 1922a and von Mises 1923 | 145 |

Range and Standard Deviation | 151 |

On the Range of a Series of Observations | 155 |

Comments on Zermelo 1929 | 161 |

Comments on Laplace 1818 | 51 |

On the Probability of Results Deduced by Methods of any Kind from a Large Number of Observations | 57 |

Comments on Verhulst 1845 | 65 |

Mathematical Investigations on the Law of Population Growth | 69 |

GoodnessofFit Statistics Comments on Abbe 1863 | 77 |

On the ConformitytoaLaw of the Distribution of Errors in a Series of Observations | 81 |

Comments on Helmert 1876b | 103 |

The Evaluation of Tournament Results as a Maximization Problem in Probability Theory | 167 |

Comments on Fisher 1930 | 187 |

English Translations of Papers and Book Extracts of Historical Interest | 203 |

First ? Occurrence of Common Terms in Statistics and Probability | 209 |

247 | |

251 | |

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Annotated Readings in the History of Statistics H. A. David,A. W. F. Edwards No preview available - 2014 |

### Common terms and phrases

according actually analysis appears apply approximation argument arrangement association becomes calculation calls cards causes chance coefficient Comments condition confidence constant continuous corresponding course curve David denote determined deviations discussion distribution draw Edwards equal equations error estimate example expectation expression fact factor fiducial Fisher follows formula function Gauss given gives Hald Helmert History important included increasing integral introduced inverse Laplace least letter likelihood limits London Mathematical maximum mean measure method natural Neyman normal Note observations obtain occur original parameter Pearson players playing population positive possible probability problem quantity question random ratio reference relative Reprinted result sample solution squares Statistics successive suppose taken term theory tion tournament Translated University variables wins York Yule zero