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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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achieved by differentiat<strong>in</strong>g because <strong>the</strong> large component a(t) likelychanges slowly, so that its derivation is small. We haveη(t) = ξ′(t) = a′(t) + ς′(t) ≈ ς′(t)which means that ξ′(t) practically does not <strong>in</strong>clude any componentconnected with a(t). The same is achieved by tak<strong>in</strong>g <strong>the</strong> differences <strong>in</strong>case <strong>of</strong> discrete time.For cont<strong>in</strong>uous time, ra<strong>the</strong>r than differentiat<strong>in</strong>g, we certa<strong>in</strong>ly canalso study differences∆ τ ξ(t) = ξ(t + τ) − ξ(t) ≈t+τ∫tη( s)dswhere η(s) is a stationary process. The second equality is needed forconstruct<strong>in</strong>g a correlation <strong>and</strong> spectral <strong>the</strong>ory <strong>of</strong> processes withstationary <strong>in</strong>crements be<strong>in</strong>g <strong>in</strong>tegrals <strong>of</strong> a stationary process.Instead <strong>of</strong> a correlation function a structural function <strong>in</strong>troduced byKolmogorov is be<strong>in</strong>g used:D2(τ) = E[ ∆τξ( t)] ,that is, <strong>the</strong> variance <strong>of</strong> <strong>the</strong> <strong>in</strong>crement <strong>of</strong> <strong>the</strong> process dur<strong>in</strong>g time τ.Practical application <strong>of</strong> processes with stationary <strong>in</strong>crements can bestudied by means <strong>of</strong> Mon<strong>in</strong> & Jaglom (1967, pt. 2/1975).The situation that emerged nowadays <strong>in</strong> science can be <strong>the</strong>reforedescribed <strong>in</strong> <strong>the</strong> follow<strong>in</strong>g way. We do not expect that generalstatistical methods can characterize wavy processes as a whole, i. e.,<strong>in</strong>clud<strong>in</strong>g large waves. In general, <strong>the</strong> notion <strong>of</strong> stationary stochasticprocess is compromised. For applications, it is <strong>the</strong> turn <strong>of</strong> <strong>the</strong> concept<strong>of</strong> stochastic process with stationary <strong>in</strong>crements that does not claim tocover a phenomenon as a whole but can cover it <strong>in</strong> <strong>the</strong> sphere <strong>of</strong> <strong>the</strong>small scale. Its possibilities are not yet sufficiently <strong>in</strong>vestigated. Thesituation concern<strong>in</strong>g <strong>the</strong> examples with which we have dealt is this.In economics, <strong>the</strong>re exist works <strong>of</strong> <strong>the</strong> American school founded byBox, for example Box, Jenk<strong>in</strong>s & Bacon (1967); Box & Jenk<strong>in</strong>s(1970). However, <strong>the</strong> quality <strong>of</strong> statistical approach is <strong>the</strong>re doubtful:no statistical checks are made, attention is concentrated on forecast<strong>in</strong>gwhereas <strong>the</strong> exclusion <strong>of</strong> <strong>the</strong> large-scale component compels us toth<strong>in</strong>k that it would have been better to ab<strong>and</strong>on altoge<strong>the</strong>r predictionss<strong>in</strong>ce <strong>the</strong>y depend <strong>in</strong> <strong>the</strong> first place on <strong>the</strong> excluded component. Ingeneral, <strong>the</strong> situation is doubtful. We will consider it later.For meteorology, processes with stationary <strong>in</strong>crements are <strong>of</strong> nospecial significance. The Kolmogorov – Obukhov <strong>the</strong>ory <strong>of</strong> turbulencera<strong>the</strong>r belongs to aero-hydrodynamics. Brilliant success is achieved<strong>the</strong>re: conclusions made by <strong>the</strong> creators <strong>of</strong> <strong>the</strong> <strong>the</strong>ory wereexperimentally confirmed. That success rema<strong>in</strong>s, however, <strong>the</strong> onlyone atta<strong>in</strong>ed.In geology, we have <strong>the</strong> book <strong>of</strong> Ma<strong>the</strong>ron (1962). The factualmaterial <strong>in</strong>cluded <strong>the</strong>re supports <strong>in</strong> some measure <strong>the</strong> hypo<strong>the</strong>sis that77

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