motion <strong>and</strong> a number of others) are connected with this picture. Separate problems of thiskind have been comparatively long ago solved by the theory of probability. Nevertheless, nosatisfactory general method existed, <strong>and</strong> this led to the need for introducing very restrictiveassumptions as well as for inventing a special method for each problem. In 1932 Petrovskydiscovered a remarkable method connecting the most general problem of r<strong>and</strong>om walks withproblems in the theory of differential equations <strong>and</strong> thus providing a possibility of a commonapproach to all such problems. At the same time, his method eliminates the need for almostall the restrictive assumptions so that the problems can be formulated in their naturalgenerality.Since the De Moivre limit theorem; the Liapunov theorem; <strong>and</strong> all their later extensionsincluding those considering many-dimensional cases, are particular instances of the generalproblem of r<strong>and</strong>om walks, the Petrovsky method provides, in particular, a new, <strong>and</strong>, for thatmatter, a remarkable because of its generality proof of all these propositions. Moreover, thepower of this analytic method is so great that in a number of cases (as, for example, in theabovementioned law of the iterated logarithm) it enabled to solve also such problems that didnot yield to any other known method. The application of the Petrovsky method by otherworkers of the Moscow collective (Kolmogorov, Khinchin) had since already led to thesolution of a large number of problems of both theoretical <strong>and</strong> directly applied nature. In anad hoc monograph Khinchin showed that this method covered most various stochasticproblems.When speaking about the theoretical investigations of the Moscow school, it is alsonecessary to touch on its considerable part in the logical justification of the doctrine ofprobabilities. The construction of a robust logical foundation for the edifice of the theorybecame possible comparatively recently, after the main features of the building weresufficiently clearly outlined. And, although a large number of scientists from all quarters ofthe globe participated in constructing a modern, already clearly determined logical base forthe theory, it is nevertheless necessary to note that it was Kolmogorov who first achieved thisgoal having done it completely <strong>and</strong> systematically.[5] However, considering the development of a stochastic theory as its main aim, theMoscow school may nevertheless be reproached for not sufficiently or not altogethersystematically studying the issues of practical statistics. The main problem next in turn, towhich the Moscow collective is certainly equal, consists in revising <strong>and</strong> systematizing thestatistical methods that still include many primitive <strong>and</strong> archaic elements. This subject ispermanently included in the plans of the Moscow school <strong>and</strong> is just as invariably postponed.However, the collective has been accomplishing a number of separate studies of considerableworth in mathematical statistics. Here, statisticians have even created a special directionarousing ever more interest in the scientific world, viz, the systematic study of theconnections <strong>and</strong> interrelations between the theoretical laws of distribution <strong>and</strong> their empiricalrealizations. If a long series of trials is made on a r<strong>and</strong>om variable obeying a given law ofdistribution, <strong>and</strong> a graph of the empirical distribution obtained is constructed, we shall see aline unboundedly approaching the graph of the given law as the number of trials increases.The investigation of the rapidity <strong>and</strong> other characteristics of this approach is a natural <strong>and</strong>important problem of mathematical statistics. The closeness, <strong>and</strong>, in general, the mutuallocation of these two lines can be described <strong>and</strong> estimated by most various systems ofparameters; the limiting behavior of each of these parameters provides a special stochasticproblem. Its solution often entails very considerable mathematical difficulties, <strong>and</strong>, as a rule,is obtained as some limit theorem. During the last years, Moscow mathematicians achieved anumber of interesting results in this direction <strong>and</strong> Smirnov should be named here first <strong>and</strong>foremost. He had discovered a number of strikingly elegant <strong>and</strong> whole limiting relations <strong>and</strong>Glivenko <strong>and</strong> Kolmogorov followed suit. These works were met with lively response also by
foreign scientists <strong>and</strong> are being continued. This year the Moscow collective began working{cf. below} on another urgent issue of modern mathematical statistics, on the so-calledprinciple of maximum likelihood. If adequately developed, this promises to become a mostpowerful tool for testing hypotheses <strong>and</strong> thus to foster the solution of a most importantproblem of applied statistics all the previous approaches to which did not yet for variousreasons satisfy the researchers. This work is, however, only planned.[6] I have already mentioned a number of studies done by the Moscow school <strong>and</strong>connected with theoretical physics. For a long time now, a number of branches of biology(genetics, natural selection, struggle for existence) have been resting on stochastic methods.Even before the Revolution Bernstein developed a number of stochastic applications togenetics. Its mathematical requirements grown during the last years have dem<strong>and</strong>ed new,more subtle stochastic studies which the Moscow school did not take up. Glivenko, withKolmogorov participating, developed a peculiar genetic algebra. They, as well as Petrovsky<strong>and</strong> Piskunov, investigated various issues in natural selection <strong>and</strong> struggle for existence.In the sphere of technical applications of probability, the most complicated nowadays arethe problems arising in connection with the running of systems designed for general use; <strong>and</strong>,from among these, the estimation of the {necessary} equipment of telephone exchanges <strong>and</strong>networks. In this direction the Moscow school had studied a number of problems both ofgeneral theoretic <strong>and</strong> directly applied nature. Khinchin constructed a general mathematicaltheory of stationary queues whose particular cases are both the telephony (see just above) <strong>and</strong>the estimation of the time passing between a machine tool, etc goes out of service <strong>and</strong> itsrepair. And he, together with Bavli, developed in the practical sense the urgent theory ofshared telephone lines <strong>and</strong> made a number of calculations directly required by the Ministry ofCommunications. All this work was carried out while keeping in constant touch withpractical specialists, engineers at the Ministry’s research institute. Finally, a specialcommission of mathematicians <strong>and</strong> engineers headed by Slutsky aims at systematicallydeveloping statistical problems arising in technology. It is now working regularly, but I oughtto remark that until now it is still restricting its efforts to gathering information <strong>and</strong> did notcompile any plans for active operations.This far from complete list of works on probability theory accomplished by the school ofthe Moscow University is sufficiently convincing <strong>and</strong> shows the range of the school’sactivities. An attentive collective discussion of all the works being carries out from theirinitiation onwards; regular ties with practical specialists <strong>and</strong> natural scientists with respect toall the applied issues; intimate contacts with all prominent scientists including foreignersconcerning all the parallel <strong>and</strong> related studies; a speedy publication of results; <strong>and</strong> effortsdirected at disseminating these among all the interested scientific circles, – none of thesefeatures of managing scientific work were, or could have been known to the prerevolutionarytheory of probability.[7] The works of Bernstein <strong>and</strong> the Moscow school do not, however, exhaust theaccomplishments of the <strong>Soviet</strong> theory of probability. The third prominent center of creativework in this field is Tashkent. The leader of mathematicians at Sredneaziatsky {CentralAsian} University, Romanovsky, is a most oust<strong>and</strong>ing world authority on mathematicalstatistics. Whereas Bernstein <strong>and</strong> his associates <strong>and</strong> the Moscow stochastic school mainlyconcentrated their efforts on the theory of probability, the entire scientific world ofmathematical statistics is attentively following the work issuing from the <strong>Soviet</strong> Central Asia.It is rather difficult <strong>and</strong> unnecessary to draw a clear boundary line between the twoabovementioned sciences, but the border is mainly determined by the fact that probabilitytheory is mostly interested in theoretical regularities of mass phenomena whereasmathematical statistics creates practical methods for scientifically mastering these
- Page 4 and 5: [3] I bear in mind the well-known p
- Page 6 and 7: successes of physical statistics. B
- Page 8 and 9: classes of independent facts whose
- Page 10 and 11: distribution is a corollary of the
- Page 12 and 13: examine in the first place the curv
- Page 14 and 15: 12. According to Bortkiewicz’ ter
- Page 16 and 17: generality, the similarities taking
- Page 18 and 19: one on another, as well as the corr
- Page 20 and 21: is inapplicable because the right s
- Page 22 and 23: Instead, Slutsky introduced new not
- Page 24 and 25: abandoned in August 1936, but it is
- Page 26 and 27: last decades, mathematicians more o
- Page 28 and 29: charged with making the leading ple
- Page 32 and 33: phenomena. It is self-evident that
- Page 34 and 35: Such new demands were formulated in
- Page 36 and 37: The addition of independent random
- Page 38 and 39: automatic lathes, etc. Here, the ma
- Page 40 and 41: 11. Kolmogorov, A.N. Grundbegriffe
- Page 42 and 43: period 1 and remained, until the ap
- Page 44 and 45: of the analytical tool rather than
- Page 46 and 47: with probability approaching unity,
- Page 48 and 49: logic. The ensuing vagueness in his
- Page 50 and 51: 2. Gnedenko, B.V. (1949), On Lobach
- Page 52 and 53: will be sufficient, although not ne
- Page 54 and 55: nlimk = 1P(| k (n) - m k (n) | > H
- Page 56 and 57: favorite classical issue as the gam
- Page 58 and 59: and some quite definite (not depend
- Page 60 and 61: influenced by a construction that a
- Page 62 and 63: P ij (1) = p ij (1) , P ij (t) =kP
- Page 64 and 65: 4.2d. Bebutov [1; 2] as well as Kry
- Page 66 and 67: are yet no limit theorems correspon
- Page 68 and 69: described, from the viewpoint that
- Page 70 and 71: conditional variance and determined
- Page 72 and 73: Romanovsky [45] and Kolmogorov [46]
- Page 74 and 75: Let S be the general population wit
- Page 76 and 77: Part 1. Russian/Soviet AuthorsAmbar
- Page 78 and 79: 2. On necessary and sufficient cond
- Page 80 and 81:
Gnedenko, B.V., Groshev, A.V. 1. On
- Page 82 and 83:
52. ( (Mathematical Principl
- Page 84 and 85:
Kozuliaev, P.A. 1. Sur la répartit
- Page 86 and 87:
Obukhov, A.M. 1. Normal correlation
- Page 88 and 89:
30. Généralisations d’un théor
- Page 90 and 91:
22. Alcune applicazioni dei coeffic
- Page 92 and 93:
10. A.N. Kolmogorov. The Theory of
- Page 94 and 95:
Kuznetsov, Stratonovich & Tikhonov
- Page 96 and 97:
In the homogeneous case H s t = H t
- Page 98 and 99:
to such a generalization. He only s
- Page 100 and 101:
In the particular case of a charact
- Page 102 and 103:
as it is usual for the modern theor
- Page 104 and 105:
1. {The second reference to Pugache
- Page 106 and 107:
Smirnov, Romanovsky and others made
- Page 108 and 109:
determined the precise asymptotic c
- Page 110 and 111:
for finite values of N, M and R 2 .
- Page 112 and 113:
Mikhalevich’s findings by far exc
- Page 114 and 115:
Uch. Zap. = Uchenye ZapiskiUkr = Uk
- Page 116 and 117:
Khinchin, A.Ya. 43. Math. Ann. 101,
- Page 118 and 119:
7. DAN 115, 1957, 49 - 52.Pinsker,
- Page 120 and 121:
Anderson, T.W., Darling, D.A. (1952
- Page 122 and 123:
Statistical problems in radio engin
- Page 124 and 125:
observations for its power with reg
- Page 126 and 127:
securing against mistakes (A.N. Kry
- Page 128 and 129:
of the others, then its distributio
- Page 130 and 131:
In Kiev, in the 1930s, N.M. Krylov