Examples of using Probability theory in English and their translations into Tagalog
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Ecclesiastic
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Colloquial
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Computer
I was appointed Professor of Mathematics to raise the profile of probability theory(but not statistics)
He asked Doob to cooperate with him in writing the sections on probability theory but in the end Doob wrote the whole book.
whose theory is formulated mathematically, especially with probability theory.
specialty statistics(Department of probability theory)[1][6].
realm of probability theory.
published on the foundations of probability theory which was a safe political topic.
in particular probability theory, and also on the mathematical theory of plasticity.
He commented on the use of probability theory to express the reliability of experimental results in“a numerical form.”.
As a mathematical foundation for statistics, probability theory is essential to many human activities that involve quantitative analysis of data.
In probability theory, there exist several different notions of convergence of random variables.
Around 1922 Khinchin took up new mathematical interests when he began to study the theory of numbers and probability theory.
analytic geometry and probability theory.
this was applied to both probability theory and work of Kolmogorov.
Feller's most important work was Introduction to Probability Theory and its Applications(1950-61), a two volume work which he frequently revised
A recent monograph entitled Ito's Stochastic Calculus and Probability Theory(1996), dedicated to Ito on the occasion of his eightieth birthday,
laying the modern axiomatic foundations of probability theory and establishing his reputation as the world's leading expert in this field.
arising from his work in probability theory, and he was the first to make precise the concepts of"independent" and"uniformly distributed".
numerical analysis, probability theory and mathematical statistics.
the method is now a major tool in probability theory, with applications ranging from elementary theory to front research.
The convergence of sequences of random variables to some limit random variable is an important concept in probability theory, and its applications to statistics