中文翻譯 奈曼:來自生活的統計學家 / 康斯坦絲.瑞德(Constance Reid)著 ; 姚慕生,陳克艱,王順義譯, 上海市 : 上海科學技術 , 2001[民90],
台灣的大學有三本英文書:臺灣師範大學圖書館 519.2 R272 請洽詢各合作館
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傳主名字的翻譯,國立編譯館資料庫為:
經濟學
NEYMAN-Fisher theorem
諾曼-費雪定理
經濟學 NEYMAN-Pearson lemma
內依曼-皮爾森輔理
生態學名詞 NEYMAN's distribution
奈曼分布
統計學名詞 asymptotic power of NEYMAN-Pearson (N-P)test
尼曼-皮遜檢定的漸近檢力
統計學名詞 Bates-NEYMAN model Bates-NEYMAN
模型
統計學名詞 Beall-Rescia generalization of NEYMAN's distribution NEYMAN
分配的Beall-Rescia推廣
統計學名詞 Fisher-NEYMAN theorem
費雪-尼曼定理
統計學名詞 Gurland's generalization of NEYMAN's distribution NEYMAN
分布的Gurland推廣
統計學名詞 NEYMAN allocation NEYMAN
配置
統計學名詞 NEYMAN model NEYMAN
模型
統計學名詞 NEYMAN-Pearson fundamental lemma NEYMAN-Pearson
基本引理
統計學名詞 NEYMAN-Pearson lemma NEYMAN-Pearson
引理
統計學名詞 NEYMAN-Pearson tests NEYMAN-Pearson
檢定
統計學名詞 NEYMAN-Pearson theory NEYMAN-Pearson
理論
統計學名詞 NEYMAN's factorization theorem NEYMAN
分解定理
統計學名詞 NEYMAN's shortest unbiased confidence intervals NEYMAN
最短不偏信賴區間
統計學名詞 NEYMAN's ψ
2 test NEYMAN ψ
2檢定
統計學名詞 NEYMAN-Scott model NEYMAN-Scott
模型
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我在英國時老師的Neyman發音較近「尼曼」。
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Constance Reid
的書之中文版,2001的已是第二次修改了。
這本書前的眾星雲集之統計學家等照片大小,W. Edwards Deming 是屬於大張
/全頁的。讀者從索引知道
Deming是介紹傳主到加州大學的主要功臣(1938
)。他休假到倫敦去進修,當然知道這老師是世界一流人才:
1936 Studied under Sir Ronald Aylmer Fisher and Jerzy Neyman at University
College, London, England
Deming
更是這本演講集的編輯/改寫者:
Lectures and Conferences on Mathematical Statistics, Graduate School
, U.S. Department of Agriculture ,1938
這本書印700本,很快就賣光了。
Deming等人的文風都是追求清楚明白…..
奈曼:來自生活的統計學家
大師級統計學家:Jerzy Neyman (April 16, 1894, in Bendery, Moldova – August 5, 1981, in Oakland, California) was a Polish mathematician. He was the second of four children of Czes ław Spł awa-Neyman and Kazimiera Lutosławska. He has published many books dealing with experiments and statistics. He devised the way which the FDA tests medicines today.
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In 1970 Neyman received an honorary degree and the letter of recommendation listed his achievements in London (see [4]):-
During the years 1934-38 Neyman made four fundamental contributions to the science of Statistics. Each of them would have been sufficient to establish an international reputation, both for their immediate effect and for the impetus which the new ideas and methods had on the thinking of young and old alike. He put forward the theory of confidence intervals, the importance of which in statistical theory and analysis of data cannot be overemphasised. His contribution to the theory of contagious distributions is still of great utility in the interpretation of biological data. His paper on sampling stratified populations paved the way for a statistical theory which, among other things, gave us the Gallup Poll. [His] work, and that of Fisher, each with a different model for randomised experiments, led to the whole new field of experimentation so much used in agriculture, biology, medicine, and physical sciences.
奈曼:來自生活的統計學家
大師級統計學家:Jerzy Neyman (April 16, 1894, in Bendery, Moldova – August 5, 1981, in Oakland, California) was a Polish mathematician. He was the second of four children of Czes ław Spł awa-Neyman and Kazimiera Lutosławska. He has published many books dealing with experiments and statistics. He devised the way which the FDA tests medicines today.
----
In 1970 Neyman received an honorary degree and the letter of recommendation listed his achievements in London (see [4]):-
During the years 1934-38 Neyman made four fundamental contributions to the science of Statistics. Each of them would have been sufficient to establish an international reputation, both for their immediate effect and for the impetus which the new ideas and methods had on the thinking of young and old alike. He put forward the theory of confidence intervals, the importance of which in statistical theory and analysis of data cannot be overemphasised. His contribution to the theory of contagious distributions is still of great utility in the interpretation of biological data. His paper on sampling stratified populations paved the way for a statistical theory which, among other things, gave us the Gallup Poll. [His] work, and that of Fisher, each with a different model for randomised experiments, led to the whole new field of experimentation so much used in agriculture, biology, medicine, and physical sciences.
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