Reminiscences of a Statistician (eBook)
XII, 316 Seiten
Springer New York (Verlag)
978-0-387-71597-1 (ISBN)
This relatively nontechnical book is the first account of the history of statistics from the Fisher revolution to the computer revolution. It sketches the careers, and highlights some of the work, of 65 people, most of them statisticians. What gives the book its special character is its emphasis on the author's interaction with these people and the inclusion of many personal anecdotes. Combined, these portraits provide an amazing fly-on-the-wall view of statistics during the period in question. The stress is on ideas and technical material is held to a minimum. Thus the book is accessible to anyone with at least an elementary background in statistics.
Erich L. Lehmann is Professor Emeritus of Statistics at the University of California at Berkeley. He is a member of the American and National Academies, a former Editor of the Annals of Mathematical Statistics, and President of the Institute of Mathematical Statistics. He holds honorary degrees from the Universities of Chicago and Leiden, and was awarded the Wilks and Noether prizes. He is also the author of Testing Statistical Hypotheses, Theory of Point Estimation, and Elements of Large-Sample Theory, all published by Springer. Two more elementary books, Basic Concepts of Probability and Statistics (joint with Hodges) and Nonparametrics have recently been reissued by SIAM and Springer, respectively.
It 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.
Erich L. Lehmann is Professor Emeritus of Statistics at the University of California at Berkeley. He is a member of the American and National Academies, a former Editor of the Annals of Mathematical Statistics, and President of the Institute of Mathematical Statistics. He holds honorary degrees from the Universities of Chicago and Leiden, and was awarded the Wilks and Noether prizes. He is also the author of Testing Statistical Hypotheses, Theory of Point Estimation, and Elements of Large-Sample Theory, all published by Springer. Two more elementary books, Basic Concepts of Probability and Statistics (joint with Hodges) and Nonparametrics have recently been reissued by SIAM and Springer, respectively.
Preface 6
Contents 8
1. Edmund Landau (1877–1938) 12
Mathematical Preparation 12
2. Rolf Noskwith (b. 1919) 18
3. Richard Courant (1888–1971) 19
4. Griffith C. Evans (1887–1973) 21
5. Raphael Robinson (1911–1995) and Julia Bowman Robinson ( 1919– 1985) 24
6. Jerzy Neyman (1894–1981) and Alfred Tarski ( 1901– 1983) 28
Becoming a Statistician 28
7. Jerzy Neyman—the Teacher and Scientist 33
8. Joseph L. Hodges, Jr. (1922–2000) 38
9. Evelyn Fix (1904–1965) 44
10. Harold Hotelling (1895–1973) 46
11. Three Ph.D. Godfathers 49
Early Collaborators 53
12. Henry Scheffé (1907–1977) 54
13. Charles Stein (b. 1920) 56
14. Hodges–Lehmann I: Parametric Inference 61
15. Herman Chernoff (b. 1923) and Raj Bahadur ( 1924– 1997) 63
Mathematical Statistics at Other Universities 68
16. Abraham Wald (1902–1950) 69
17. Jacob (Jack) Wolfowitz (1910–1981) 75
18. William Feller (1906–1970) 78
19. Albert H. Bowker (b. 1919) 81
20. W. Allen Wallis (1912–1998) 86
21. Samuel S. Wilks (1906–1964) 90
The Annals 90
22. Wilks’ Successors 96
23. Ingram Olkin (b. 1924) 97
The Berkeley Statistics Department I: Establishment and First Generation 101
24. Neyman’s Struggle 102
25. David Blackwell (b. 1919) 108
26. Lucien Le Cam (1924–2000) 112
27. Elizabeth Scott (1917–1988) 116
28. E.L. Lehmann (b. 1917) I: Department Chair 119
29. E.L. Lehmann II: Teaching and Writing 123
30. F.N. David (1909–1993) 127
31. Students: From Colin Blyth (b. 1922) to Javier Rojo ( b. 1951) 130
The Berkeley Statistics Department II: The Second Generation 136
32. Peter J. Bickel (b. 1940) 136
33. Kjell Doksum (b. 1940) 139
34. David R. Brillinger (b. 1937) 140
35. David Freedman (b. 1938) 142
The Stanford Statistics Department 146
36. Meyer Abraham (Abe) Girshick (1908–1955) 147
37. Lincoln Moses (1921–2006) 148
38. Theodore (Ted) W. Anderson (b. 1918) 151
Nonparametrics and Robustness 154
39. Edwin J.G. Pitman (1897–1993) 155
40. Hodges–Lehmann II: Nonparametrics 157
41. Wassily Hoeffding (1914–1991) 159
42. Bradley Efron (b. 1938) 162
43. Peter J. Huber (b. 1934) 164
44. Frank Hampel (b. 1941) 167
Foundations I: The Frequentist Approach 171
45. Richard von Mises (1883–1953) 172
46. The Fisher–Neyman Controversy 176
47. Wald’s Decision Theory 180
48. Jack Carl Kiefer (1924–1981) 183
49. Lawrence D. Brown (b. 1940) 186
Foundations II: Bayesianism and Data Analysis 189
50. Leonard J. Savage (1917–1971) 190
51. Dennis Lindley (b. 1923) 193
52. James O. Berger (b. 1950) 196
53. Herbert Robbins (1915–2001) 199
54. John W. Tukey (1915–2000) 203
55. Tukey’s Robust Statistics and Exploratory Data Analysis 207
Statistics Comes of Age 210
56. Harald Cramér (1893–1985) 211
57. Samuel Kotz (b. 1930) 216
58. Stephen M. Stigler (b. 1941) 219
New Tasks and Relationships 222
59. Juliet P. Shaffer (b. 1932) 223
60. Frederick Mosteller (1916–2006) 227
61. Constance Reid (b. 1918) 232
62. Persi Diaconis (b. 1945) 235
England 240
63. R.A. Fisher (1890–1962) 241
64. Egon S. Pearson (1895–1980) I: Collaboration and Friendship with Neyman ( 1894– 1981) 246
65. Egon S. Pearson II: Other Work 251
66. David Cox (b. 1924) 255
Contacts Abroad 259
67. Bartel L. van der Waerden (1903–1996) 259
68. C.R. Rao (b. 1920) 262
69. Zhongguo Zheng (b. 1938) 267
70. Joseph (Yossi) A. Yahav (b. 1935) 270
71. Willem (Bill) R. van Zwet (b. 1934) 272
72. Van Zwet’s Gift 274
Afterword 280
Bibliography 281
Name Index 300
Subject Index 307
| Erscheint lt. Verlag | 26.12.2007 |
|---|---|
| Zusatzinfo | XII, 316 p. 65 illus. |
| Verlagsort | New York |
| Sprache | englisch |
| Themenwelt | Literatur ► Biografien / Erfahrungsberichte |
| Literatur ► Romane / Erzählungen | |
| Sachbuch/Ratgeber ► Natur / Technik | |
| Mathematik / Informatik ► Mathematik ► Statistik | |
| Mathematik / Informatik ► Mathematik ► Wahrscheinlichkeit / Kombinatorik | |
| Technik | |
| Schlagworte | Data Analysis • history of statistics in the 20th century • Mathematical Statistics • nonparametrics • Statistics • subjective and objective Bayesian inference • the Neyman-Pearson-Wald theory |
| ISBN-10 | 0-387-71597-5 / 0387715975 |
| ISBN-13 | 978-0-387-71597-1 / 9780387715971 |
| Haben Sie eine Frage zum Produkt? |
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