stochastic variable

stəˈkæstɪk ˈvɛriəbl
Translation Definition
NEW

Translation of stochastic variable from English into Turkish

Noun

probability

TECH.
variable taking different values randomly
TECH.
stokastik değişken rastgele değişken olasılıksal değişken
  • The stochastic variable represents the outcome of a dice roll.Stokastik değişken, zar atışının sonucunu temsil eder.
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Synonyms and analogies of stochastic variable in English

Examples of stochastic variable in a sentence

  • The model includes a stochastic variable to account for uncertainty.

stochastic variable: Examples and translations in context

The goal of this course is to introduce the students into techniques of statistical signal analysis through the concepts of random variables and stochastic processes, and to equip the students with the ability of simulating applications of stochastic processes using MATLAB programming language.

Dersin Amacı Bu dersin amacı öğrencilere rassal değişken ve rassal süreç kavramlarını kullanarak istatistiksel sinyal analiz tekniklerini tanıtmak ve MATLAB programlama dilini kullanarak rassal süreç uygulamalarının benzetimlerini yapabilme becerisi kazandırmaktır.

Although the random values of a stochastic process at different times may be independent random variables, in most commonly considered situations they exhibit complicated statistical dependence.

Bir stokastik sürecin farklı zamanlardaki rastgele değerleri bağımsız rastgele değişken olabilse de, birçok genel olarak kabul görmüş durumda karmaşık istatistiksel bağımlılık sergiler.

Stochastic programming studies the case in which some of the constraints or parameters depend on random variables.

Stokastik Programlama: Kısıt ve parametrelerin rastgele değişkenler'e bağlı olduğu durumları inceler.

Stochastic processes: An extension of probability theory that studies collections of random variables, such as time series or spatial processes.

Stokastik süreçler: Zaman serileri veya uzamsal süreçler gibi rastgele değişkenlerin koleksiyonlarını inceleyen olasılık teorisinin bir uzantısıdır.

Conversely, in a stochastic model-usually called a "statistical model"-randomness is present, and variable states are not described by unique values, but rather by probability distributions.

Tersine, stokastik modelde (genellikle "istatistiksel model" olarak anılır) rastgelelik bulunur ve değişken durumlar benzersiz değerlerle değil, olasılık dağılımlarıyla tanımlanır.

This, again, is a Bayes network, of which the hidden variable C causes the still stochastic test outcomes T1 and T2.

Bu da bir Bayes ağıdır; burada C gizli değişkeni, durağan rassal T1 ve T2 test sonuçlarını yaratıyor.

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