The article presents one of the statistical technologies used to study the flows of events, including in shipping and stevedoring activities, based on histograms. The classification of these streams by content is considered. The parameters characterizing the considered streams of events are given. The priority of flows in terms of their importance from the point of view of safety of functioning and life support is justified. Using a specific example of the distribution of ship maintenance time at the gateway, the uncertainty of displaying its nature using histograms is shown. At the same time, three ways of dividing the time range of ship maintenance into intervals are considered. A comparison of the obtained histograms showed their noticeable difference from each other, despite the fact that they all display the same stream of events in the observed time range. If each researcher has the opportunity to choose the distribution law that seems to him the most preferable according to his subjective ideas, then in this case the objectivity of an adequate representation of the distribution of the observed streams of events in the form of histograms is violated. Thus, already at the stage of primary data processing, when searching for the laws of distribution of observed event flows based on histograms, traditional statistics do not provide an unambiguous answer to solve the identified problems. In the conditions of an intensive path of development of a post-industrial society with a high intensity of metabolic processes at the level of extreme restrictions, these problems are relevant and give an order for science.
shipping, stevedoring, fleet, ship, gateway, channel, statistical technology, management, rhythm of functioning of transport systems, mode of movement of traffic flows, interval between events, frequency of events, distribution of events.
1. Balakrishnan A.V. Teoriya fil'tracii Kalmana. - M.: Mir, 1988. - 166 s.
2. Boks Dzh., Dzhenkins G. Analiz vremennyh ryadov. Prognoz i upravlenie/ Vyp. 1 – M.: Mir, 1974. – 604 s.
3. Brillindzher D. Vremennye ryady. Obrabotka dannyh i teoriya/ Pod red. A.N. Kolmogorova. Per s angl. - M.: Mir, 1980. - 536 s.
4. Dzhonston Dzh. Ekonometricheskie metody. – M.: Statistika, 1980. - 443 s.
5. Karlin S. Osnovy teorii sluchaynyh processov. - M.: Mir, 1971. - 536 s.
6. Klassifikaciya i klaster/ Pod red. Dzh. Ven Rayzina. - M.: Mir, 1980. - 390 s.
7. Kreyn M., Lemuan O. Vvedenie v regenerativnyy metod analiza modeley. – M.: Nauka, 1982. - 104 s.
8. Metody analiza dannyh: Podhod, osnovannyy na metode dinamicheskih sguscheniy / Koll. avt. pod ruk. E. Dide. Per. s franc. – M.: Finansy i statistika, 1985. - 357 s.
9. Runion R. Spravochnik po neparametricheskoy statistike. Sovremennyy podhod. – M.: Finansy i statistika, 1982. - 198 s.
10. Trifanov V.N. Metodicheskie osnovy sinteza dinamicheskih setey. Algebraicheskoe ravnovesie i statistika/ Preprint № 148 pod red. V.M. Ponomareva// AN SSSR. – L.: Leningradskiy institut informatiki i avtomatizacii, 1991. - s. 59-61.
11. Tuarsheva O.A. Al'ternativnyy variant statisticheskogo analiza potokov sobytiy // Transportnoe delo Rossii. – 2018. - № 6 (139). - s. 307 – 308.
12. Tuarsheva O.A. Struktura rezhimov transportnyh kommunikacionnyh sred // Transportnoe delo Rossii. – 2019. - № 5 (144). - s. 157- 159.
13. Tuarsheva O.A. Teoriya ocheredey na vodnom transporte dlya potokov obschey prirody // Transportnoe delo Rossii. – 2023. - № 4 (167). - s. – 151 - 155.
14. Tuarsheva O.A. Upravlenie ochered'yu sudov i regulirovanie ocherednosti ih obsluzhivaniya v portah i na shlyuzah kanalov // Transportnoe delo Rossii. – 2023. - № 4 (167). - s. – 166 - 170.
15. Tuarsheva O.A. Reshenie problem upravleniya v sudohodstve i stividornoy deyatel'nosti na osnove statisticheskogo analiza // Transportnoe delo Rossii. – 2023. - № 5 (168). - s. – 193 – 197.
