413

  • Web Address
  • DOI
  • Date of creation in the UzSCI system 09-12-2019
  • Read count 377
  • Date of publication 22-11-2019
  • Main LanguageO'zbek
  • Pages114-116
Tags
English

It is necessary to analyze the experimental data obtained in the study of processes related to the natural Sciences, Economics, agricultural engineering, agriculture and other industries using probability theory and mathematical statistics. In this paper, agricultural processes are considered as interdependent random variables, and their periodicity characteristics were studied using the Markov chain.
 

Tags
№ Author name position Name of organisation
1 Vaxobov V.. доцент ТИҚХММИ
2 Xidoyatova M.. ассистент ТИҚХММИ
№ Name of reference
1 1. Б.В.Гнеденко “Курс теории вероятности”. М. Наука 1994 г.
2 2. Дж.Кемени, Дж.Снелл. “Конечные цепы Маркова”. М.1992 г.
3 3. Вальтер Л. “Статистические модели в экономике”. М.Статистика, 1976 г.
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