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1 Studies in the History of Statistics and Probability ... - Sheynin, Oscar

1 Studies in the History of Statistics and Probability ... - Sheynin, Oscar

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Reason<strong>in</strong>g based on common sense <strong>and</strong> <strong>the</strong> dimensionality <strong>the</strong>oremoccurred exceptionally successful although <strong>the</strong>y can not be absolutelyprecise because some physical consideration oppose <strong>the</strong>m. The entire<strong>the</strong>ory is <strong>of</strong> a purely statistical essence; its aim is to cover <strong>the</strong> ma<strong>in</strong>features <strong>of</strong> <strong>the</strong> statistics <strong>of</strong> <strong>the</strong> studied phenomenon by issu<strong>in</strong>g fromra<strong>the</strong>r rough considerations <strong>and</strong> to approach <strong>the</strong> possibility <strong>of</strong> anexperimental check. Now let us pass to a failed example.3.7. Statistical forecast. [...] We firmly believe <strong>in</strong> scientificpredictions, for example <strong>in</strong> calculations <strong>of</strong> <strong>the</strong> future situation <strong>of</strong> <strong>the</strong>planets based on <strong>the</strong> law <strong>of</strong> universal gravitation. Actually, our beliefis certa<strong>in</strong>ty <strong>and</strong> it is never deceived, although <strong>the</strong> general <strong>the</strong>ory <strong>of</strong>relativity is known to <strong>in</strong>troduce corrections here. Are scientificmethods <strong>of</strong> forecast<strong>in</strong>g stochastic processes able to provide areasonable if not firm certa<strong>in</strong>ty <strong>in</strong> predict<strong>in</strong>g <strong>the</strong> future?Kolmogorov <strong>and</strong> somewhat later Wiener <strong>in</strong>dependently developedmethods <strong>of</strong> forecast<strong>in</strong>g stationary stochastic processes. In hiscontribution on <strong>the</strong> <strong>the</strong>ory <strong>of</strong> turbulence Kolmogorov clearly statesthat he considers his hypo<strong>the</strong>ses about <strong>the</strong> structure <strong>of</strong> turbulence verylikely. It is curious to compare this with <strong>the</strong> absence <strong>in</strong> his works on<strong>the</strong> prediction <strong>of</strong> stochastic processes <strong>of</strong> any h<strong>in</strong>t on <strong>the</strong> possibility <strong>of</strong>practical applications.Both <strong>in</strong> his report (1952) <strong>and</strong> <strong>in</strong> Cybernetics (1969?) Wiener<strong>in</strong>dicated that <strong>the</strong> <strong>the</strong>ory <strong>of</strong> forecast<strong>in</strong>g was practically important. In<strong>the</strong> first case he stated that he was prompted byThe problem <strong>of</strong> predict<strong>in</strong>g <strong>the</strong> future position <strong>of</strong> an airplane byissu<strong>in</strong>g from general statistical <strong>in</strong>formation on <strong>the</strong> methods <strong>of</strong> its flight<strong>and</strong> from more specific knowledge <strong>of</strong> its previous path. [...] My workwas concerned with <strong>in</strong>struments necessary for realiz<strong>in</strong>g <strong>the</strong> <strong>the</strong>ory <strong>of</strong>predicted fir<strong>in</strong>g <strong>in</strong> an automatic device for shoot<strong>in</strong>g at <strong>the</strong> airplane(Translated back from Russian.)It is known, however, that such a method <strong>of</strong> shoot<strong>in</strong>g was notrealized, not because <strong>of</strong> calculational difficulties but first <strong>of</strong> all s<strong>in</strong>ce<strong>the</strong> path <strong>of</strong> an airplane can not be described by a model <strong>of</strong> stationarystochastic process. There possibly is a statistical component <strong>in</strong> <strong>the</strong>airplane’s manoeuvre, but how can it be isolated? The manoeuvredepends so much on <strong>the</strong> concrete conditions that we can not at alldiscuss <strong>the</strong> statistical homogeneity <strong>of</strong> all <strong>the</strong> routes <strong>of</strong> <strong>the</strong> flight. Wecan attempt to isolate <strong>the</strong> statistical elements, but this problem is toodifficult for be<strong>in</strong>g solvable under war conditions.In all o<strong>the</strong>r processes, economic, technological, meteorological, etc.we usually encounter <strong>the</strong> fact that <strong>the</strong> statistical element, even ifpresent, does not cover <strong>the</strong> entire phenomenon. Thus, only <strong>the</strong> rapidcomponent on <strong>the</strong> small scale can yield to statistical description. Andeven that fact is only scientifically established <strong>in</strong> exceptional cases, forexample for <strong>the</strong> microstructure <strong>of</strong> turbulence. Ano<strong>the</strong>r such exampleconcerns <strong>the</strong> change <strong>of</strong> <strong>the</strong> frequency <strong>of</strong> <strong>the</strong> generator <strong>of</strong> oscillationsdur<strong>in</strong>g very short periods <strong>of</strong> time, when <strong>the</strong> action <strong>of</strong> flicker <strong>and</strong> o<strong>the</strong>rtechnological causes <strong>of</strong> <strong>the</strong> change does not have enough time forbe<strong>in</strong>g felt (Rytov 1966).81

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