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<br />'80 <br /> <br />have similar traits. The three most important charac- <br />teristics are: (1) the signal-to-noise ratio, (2) the repeti- <br />tion (confirmation), and (3) the plausibility (fit with a <br />meaningful conceptual model of the process of interest) <br />of the results. The importance of proper confirming ex- <br />periments should not be underestimated. <br /> <br />4. INTERSECTION OF STATISTICS AND <br />METEOROLOGY <br /> <br />Professor Braham is quite correct in calling for more <br />involvement in "meteorological projects" by statisticians. <br />I believe that most of his comments on this topic could <br />be generalized to many areas of statistical application. <br />For one reason or another many statisticians appear to be <br />reluctant to get. intricately involved in the applied side <br />of statistics. Perhaps the work is "cleaner" on the <br />theoretical side of statistics; but, as Fisher (1925) so well <br />indicated, the stimulation for relevant theoretical work <br />9ften comes from the applied side (the joys of finally un- <br />covering a piece of nature's puzzle are not to be ignored <br />either). . <br />Braham's suggestion of more ecumenical activity be- <br />tween statistics and meteorology is welcome. In the uni- <br />versity setting this should be translated into joint re- <br />,search, joint faculty, common courses, and even (as <br />Braham suggests) joint degree programs. This "experi- <br />ment" seems long overdue. However, strong and dedi- <br />cated leadership, such as that exhibited by Karl Pearson <br />in the early days of biometrics, will no doubt be needed <br />for any successful joint statistics-meteorology effort. <br />Productive work in the intersection of two sciences is <br />rarely easy in either an academic or political sense. <br />In closing, it seems appropriate to mention one of the <br />suggestions of the 1973 Panel on Weather and Climate <br />Modification (CAS 1973). They recommended the crea- <br />tion of Weather-Modification Statistical Research Groups <br />(WMSRG) jointly associated with atmospheric science <br />and statistics programs. Such groups would provide for: <br />"(a) supplying additional full-time statistical strength, <br />(b) bringing statisticians together with the appropriate <br />support groups, (c) making their services available to <br />research organizations in weather modification, and (d) <br />systematically delving into fundamental programs in . <br />statistical research that the field of weather modification <br />requires." M eteometric8, in one form or another, may yet <br />make its full appearance. <br /> <br />REFERENCES <br /> <br />Braham, Roscoe R., Jr. (1966), "Final Report of Project Whitetop: <br />Part I-Design of the Experiment; Part II-Summary of Opere.- <br />tions," Department of Geophysical Sciences, University of <br />Chicago. (available from NTIS PB-17tHi22). <br /> <br /> <br />~i;~ f';:': <br /> <br />- <br /> <br />Journal of the American Statistical Associl1tion, March 1979 <br /> <br />Camlpbell, Donald (1968), "Qu88i-Experimental Design," in Inter- <br />naHonal Encyclopedia of the Social Sciences, Volume 5, ed. David L. <br />Sills, New York: Macmillan and Free Press, 259-263. <br />Chalmers, Thom88 C., Block, Jerome R, and Lee, Stephanie (1972), <br />"CQntrolled Studies in Clinical- Cancer Research," New England <br />J()',lJ.rnal of Medicine, 287, 7f:r78. <br />Cochran, William G.. (1977), Sampling Techniques, 3rd ed., New <br />. Yo,rk: John Wiley dt Sons. <br />Committee on Atmospheric Sciences (1973), Weather and Climate <br />Modification: Problems and Progress, W88hington, D.C.: National <br />Research Council, National Academy of Sciences. <br />Decker, Wayne L., and Schickedanz, Paul T. (1966), "Final Report <br />of Project Whitetop: Part IV-A Summary of the Rainfall <br />Analyses," College of Agriculture, University of Missouri, <br />Columbia, Missouri. <br />Fisher, R.A. (1925), Statistical Methods for Research Workers, 1st ed. <br />(l~~th ed., 1970), Edinburgh: Oliver &: Boyd. <br />Flue<:k, John A. (1971), "Final Report of Project Whitetop: Part <br />V--8tatistical Analyses of the Ground Level Precipitation Data," <br />Department of Geophysical Sciences, University of Chicago <br />(available from NTIS N 72-13559). <br />-- (1976), "Evaluation of Operational Weather Modification <br />Experiments," The Journal of Weather Modification, 8, 42-56. <br />--' (1977), "The Role of Statistics in Weather Modification <br />Experiments," presented at the First International Workshop on <br />Hailfall Measurements, Banff, Alberta, Canada, October 22-26, <br />19j'7j to apPear in the Journal of Atmosphere-Ocean, 1978. <br />--, and Mielke, Paul W., Jr. (1978), "Design and Evaluation of <br />Hail Suppression Experiments," Chapter 19 in Hail: A Revieto of <br />Hail Science and Hail Suppression, eds. Grant R Foote and Charles <br />A. Knight, Monograph 38, Boston; American Meteorological <br />Sodety, 225-235. <br />Gehan, Edmund A., and Freireich, Emil J. (1974), "Non-randomized <br />. Controls in Cancer Clinical Trials," New England Journal of <br />Medicine, 290, 198-203. <br />Gnanadesikan, R. (1977), Meth0d8 for Statistical Data Analy3i& of <br />Multivariate Obseroations, New York: John Wiley &: Sons. <br />Harv:ille, David A. (1975), "Experimenta.1 Randomization: Who <br />Needs It?," The American Statistician, 29, 27-31. <br />Kish, Leslie (1975), Survey Sampling, New York: John Wiley &: Sons. <br />Lovallich, Jeanne L., Neyman, Jerzy, Scott, Elizabeth L., and Wella, <br />Ms.rcella A. (1971), "Hypothetical Explanations of the Negative <br />Apparent Effects of Cloud Seeding in the Whitetop Experiment," <br />PrtlCUdings of the NatUmal Academy of Sciences, 68,2643-2646. <br />MostA~ller, Frederick, and Tukey, John W. (1977), Data Analy,ia and <br />. Re,rrt!ssion: A Second Course in Statistics, Reading, M88B. : Addison- <br />Wesley Publishing Co. <br />Natio,nal Academy of Sciences-National Research Council (1959), <br />"lteport of the Skyline Conference on the Design and Conduct of <br />Experiments in Weather Modification," Publication No. 742, <br />Washington, D.C.: National Academy of Sciences-National Re- <br />sea:rch Council. <br />Neyman, Jerzy (1977), "A Statistician's View of Weather Modifica- <br />tion Technology (A Review)," Proceedings of the NatUmal Academy <br />of &iences, 74, 4714-4721. <br />Raj, Des (1972), The Design of Sample Survey" New York: McGraw- <br />Hill Book Co. <br />Sudm.an, Seymour (1976), Applied Sampling, New York: Academic <br />Press. <br />Tukey, John W. (1962), "The Future of Data Analysis," Annal" of <br />Mathematical Statistics, 33, 1~7. <br /> <br />-- (1977), Ezploralory Data Analy,ia, Reading, M88S.: Addison- <br />Wesley Publishing Co. <br />--, anc}. Wilk, Martin R (1965), "Data Analysis and Statistics: <br />Te<:hniques and Approaches," Proceedings of the Symposium on <br />lnfrmnation Processing in Sight SemJory Systems, California. In- <br />stitute ?f Technology, P88adena, Calif., 7-27. <br />