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Stephen E. Fienberg and Judith M Reconsidering the Fundamental Contributions of Fisher and Neyman on Experimentation and Sampling Author(s): Stephen E. Fienberg and Judith M. Tanur Source: International Statistical Review / Revue Internationale de Statistique, Vol. 64, No. 3 (Dec., 1996), pp. 237-253 Published by: International Statistical Institute (ISI) Stable URL: http://www.jstor.org/stable/1403784 Accessed: 19/10/2008 12:47 Your use of the JSTOR archive indicates your acceptance of JSTOR's Terms and Conditions of Use, available at http://www.jstor.org/page/info/about/policies/terms.jsp. JSTOR's Terms and Conditions of Use provides, in part, that unless you have obtained prior permission, you may not download an entire issue of a journal or multiple copies of articles, and you may use content in the JSTOR archive only for your personal, non-commercial use. Please contact the publisher regarding any further use of this work. Publisher contact information may be obtained at http://www.jstor.org/action/showPublisher?publisherCode=isi. Each copy of any part of a JSTOR transmission must contain the same copyright notice that appears on the screen or printed page of such transmission. JSTOR is a not-for-profit organization founded in 1995 to build trusted digital archives for scholarship. We work with the scholarly community to preserve their work and the materials they rely upon, and to build a common research platform that promotes the discovery and use of these resources. For more information about JSTOR, please contact [email protected]. International Statistical Institute (ISI) is collaborating with JSTOR to digitize, preserve and extend access to International Statistical Review / Revue Internationale de Statistique. http://www.jstor.org InternationalStatistical Review (3), 1966, 64, 237-253, Printedin Mexico ? InternationalStatistical Institute Reconsideringthe Fundamental Contributions of Fisher and Neyman on Experimentation and Sampling Stephen E. Fienberg1 and Judith M. Tanur2 1Departmentof Statistics, CarnegieMellon University,Pittsburgh, PA 15213-3890, USA 2Departmentof Sociology, State University of New Yorkat Stony Brook,Stony Brook,NY 11794-4356, USA Summary R.A. Fisher and Jerzy Neyman are commonly acknowledged as the statisticians who provided the basic ideas that underpin the design of experiments and the design of sample surveys, respectively. In this paper, we reconsider the key contributions of these great men to the two areas of research. We also explain how the controversy surrounding Neyman's 1935 paper on agricultural experimentation in effect led to a split in research on experiments and on sample surveys. Key words:Clustering; Design of experiments;Design of samplesurveys; Randomization; Stratification. 1 Introduction The 1920s and 1930s marka critical period in the developmentof statistics. Much of the modern theory of estimationand statisticaltesting emergedfrom paperspublished during this period by two of the most importantstatisticians of the century,Ronald Aylmer Fisher and Jerzy Neyman. In many ways, the theoreticalwork of these two greatmen was stimulatedby practicalproblems they encoun- tered in their day-to-day statisticalwork of agriculturalexperimentation and, later for Neyman, the sampling of human populations.Moreover many believe that their greatest accomplishmentswere not in the realm of theoriesof inferencebut rather in theirarticulation of theoryand principlesunder- pinning the two key modernmethods for the scientific collection of data-randomized experiments and randomsampling. In connection with a largerproject on experimentsand sample surveys, and in part stimulatedby the recent occasion of the 100th anniversaryof Neyman's birth, we have rereadmuch of the work of both Fisher and Neyman in the areas of sampling and experimentation.Our story for both Fisher and Neyman begins with the work that led to their 1923 paperson agriculturalexperimentation. For Neyman, this work continuedlargely in the directionof samplingand culminatedin his now famous 1934 paper on the topic. Despite the many contributionsof others to the technical development of sampling in the period from 1900 to 1925, Neyman's 1934 paper played a pivotal role in turning the dry mathematics of expectations into real sampling plans for actual randomly selected large scale surveys. For Fisher, his 1923 paperled to furtherpioneering work in experimentaldesign that culminatedin the publicationof his 1935 book, The Design of Experiments.Fisher's book played a catalytic role in the actual use of randomizationin controlled experimentsthat is similar to the role Neyman's 1934 paperplayed in the use of methods for randomsampling. The year 1935 was a 238 S.E. FIENBERGand J.M. TANUR critical one in the developmentsin the fields of experimentationand sampling,not simply because of the publicationof Fisher'sbook but also because of a majorcontroversy between Fisher and Neyman engendered by Neyman's (1935) paper on agriculturalexperimentation. Because of the bitterness that grew out of this dispute (and a related one between Fisher on the one hand and Neyman and Pearson on the other, over tests of hypotheses and then later over confidence intervals),Fisher and Neyman were never able to bring their ideas together and benefit from the fruitful interactionthat would likely have occurredhad they done so. And in the aftermath,Neyman staked out intellectual responsibilityfor sampling while Fisher did the same for experimentation.It was in partbecause of this rift between Fisher and Neyman that the fields of sample surveys and experimentationdrifted apart. In the next section, we begin with Neyman'simportant 1923 paperon agriculturalexperimentation, and we remind the reader of the interrelatednature of fundamentalideas on experiments and surveys and the pivotal role that randomizationplayed in both areas. Then our narrativeproceeds by interweaving accounts of the work by Fisher and Neyman on experimentationand sampling, and controversiesthat surroundedthem. Our account culminateswith the clash between Fisher and Neyman over ideas in Neyman's 1935 paper.Throughout we include relevantbiographical material assembled from a varietyof sources includingBox (1978, 1980), Lehmann& Reid (1982) and Reid (1982). 2 Parallels between Surveys and Experiments: Innovations in Neyman's 1923 Work on Agri- cultural Experimentation JerzyNeyman was bornof Polish parentsin 1894, in Bendery,which has been variouslylabeled as Rumania,Ukraine, and Moldavia because of the vicissitudes of border-drawingin EasternEurope. In 1912 he enteredthe Universityof Kharkov(which laterbecame Maxim GorkiUniversity) to study mathematics.Finishing his undergraduatestudies in 1917, Neyman remained at the University of Kharkovto begin to preparefor an academic career;he also received an appointmentas a lecturer at the KharkovInstitute of Technology.In the fall of 1920 he passed the examinationfor a Masters degree and became a lecturerat the University.Thus until afterhis 27th birthdayNeyman was doubly isolated-both by living in a provincial city and by being part of an ethnic minority in that city. In the spring of 1921, learning that he was to be arrested,Neyman fled to the country home of a relative,where he supportedhimself by teachingthe childrenof peasants.In the summerhe returned to Kharkovand thence to Bydgoszcz in northernPoland, as partof an exchangeof nationalsbetween Russia and Poland agreed to at the end of the Russian-Polish War.In Bydgoszcz, Neyman went to work as "senior statistical assistant"at the National AgriculturalInstitute and it was there that he wrote two long papers on agriculturalexperimentation that were published in 1923 in Polish (Splawa-Neyman, 1990 [1923a], 1925 [1923b]). In this section we focus primarilyon the first of these papers, and we returnto the second in Section 4, discussing its 1925 republicationin English. An excerpt of the 1923 paper(Splawa-Neyman, 1990 [1923a]) on experimentationwas recently translatedfrom the Polish originaland publishedin StatisticalScience, and in it we were especially struckby the importancethat repeatedrandom sampling played in Neyman's thinking.This seemed to us to foreshadow,at the very least, the use of randomizationin experimentation.Reid (1982, p. 44) quotes Neyman considerablylater as denying his priorityhere: ". .. I treatedtheoretically an unrestrictedlyrandomized agricultural experiment and the randomizationwas consideredas a prerequisiteto probabilistictreatment of the results. This is not the same as the recognition that without randomizationan experimenthas little value irrespectiveof the subsequenttreatment. The latterpoint is due to Fisher and I consider it as one of the most valuableof Fisher'sachievements." The FundamentalContributions of Fisher and Neymanon Experimentationand Sampling 239 Since we see one of the major purposes of experimentalrandomization as the necessary precon- dition for probabilisticinference from the results, we wouldjoin Rubin (1990, p. 477) in saying that had Neyman later claimed priorityrather than denying it, we would have had no reason to quarrel with that claim. Rubin (1990) also reminds us that the use of randomizationwas "in the air" in the early 1920s, citing Student(1923, pp. 281-282) and Fisher & MacKenzie (1923, p. 473). There is, however, anotherimportant feature of Neyman's first paper on the topic of agricultural experimentationwe think especially worthy of note. For a numberof years, we have pursued the parallels and linkages between surveys and experiments(e.g., see Fienberg & Tanur,1987,
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