## Reminiscences of a Statistician: The Company I KeptIt has been my good fortune to meet and get to know many remarkable people, mostly statisticians and mathematicians, and to derive much pleasure and benefit from these contacts. They were teachers, colleagues and students, and the following pages sketch their careers and our interactions. Also included are a few persons with whom I had little or no direct contact but whose ideas had a decisive influence on my work. To provide some coherence, the account is largely chronological and follows the steps of my own career. Taken together, these sketches provide a very personal picture of the dev- opment of statistical theory from the 1930s to the 1970s. It is the period between two revolutions: that of Fisher, Neyman, and Pearson, which laid the foundations for the classical statistical theory of that period; and the second revolution, forty years later, brought about by the advent of the computer, which turned statistics in new directions. The present account of this history is a highly selective one, which emphasizes the persons, institutions, and statistical topics that were close to my interests. One narrowing effect of this perspective stems from the fact that my career took place in the United States. As a consequence, the book focuses on American statisticians and institutions. Only the last two ch- ters discuss, briefly and very incompletely, developments in some other countries. |

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### Contents

IX | 33 |

X | 35 |

XI | 38 |

XII | 42 |

XIV | 43 |

XV | 45 |

XVI | 50 |

XVII | 52 |

XVIII | 57 |

XIX | 58 |

XX | 64 |

XXI | 67 |

XXII | 70 |

XXIII | 75 |

XXIV | 79 |

XXVII | 85 |

XXVIII | 86 |

XXIX | 90 |

XXX | 91 |

XXXI | 97 |

XXXII | 101 |

XXXIII | 105 |

XXXIV | 108 |

XXXV | 112 |

XXXVI | 116 |

XXXVII | 119 |

XXXVIII | 125 |

XXXIX | 128 |

XL | 129 |

XLI | 131 |

XLII | 135 |

XLIV | 136 |

XLV | 137 |

XLVI | 140 |

XLVII | 143 |

XLVIII | 144 |

LVII | 169 |

LVIII | 172 |

LIX | 175 |

LX | 178 |

LXI | 179 |

LXII | 182 |

LXIII | 185 |

LXIV | 188 |

LXV | 192 |

LXVI | 196 |

LXVII | 199 |

LXIX | 200 |

LXX | 205 |

LXXI | 208 |

LXXII | 211 |

LXXIV | 212 |

LXXV | 216 |

LXXVI | 221 |

LXXVII | 224 |

LXXVIII | 229 |

LXXIX | 230 |

LXXX | 235 |

LXXXI | 240 |

LXXXII | 244 |

LXXXIII | 248 |

LXXXVI | 251 |

LXXXVII | 256 |

LXXXVIII | 259 |

LXXXIX | 261 |

XC | 263 |

XCI | 269 |

XCII | 270 |

XCIII | 289 |

297 | |

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analysis Annals of Mathematical Annals of Statistics applied appointment approach asked asymptotic Bayes Bayesian became Berkeley Bickel Bowker career chair Charles Stein Chernoff collaboration colleagues Columbia contributions course Cramér David decision theory degree developed Diaconis discussion distribution edited editor Egon Egon Pearson estimation Evans example faculty Festschrift Fisher frequentist function Girshick graduate Hampel Henry Scheffé Hotelling Huber hypothesis testing interest Jack Kiefer Jerzy Neyman Joe Hodges John Tukey joint paper Journal Karl Pearson Kiefer later lectures Lehmann Lucien Le Cam Mathematical Statistics mathematician mathematics department minimax Mises models Mosteller multivariate Neyman nonparametric obtained parameters Persi Diaconis Ph.D position Princeton probability theory problem procedure professor published R.A. Fisher result robustness sample Scheffé Section semester Stanford statistical inference Statistical Science statistician statistics department Stein teaching theoretical thesis tion Tukey University variance volume Wald Wald’s Wilks Wolfowitz writing wrote

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Page 5 - It was quite pathetic to see his delight when he found himself again in front of a blackboard and his sorrow when his opportunity came to an end.