Special Issue on Probability and Mathematical Statistics
Probability is the measure of the likelihood that an event will occur.
Probability is quantified as a number between 0 and 1, where, loosely speaking,
0 indicates impossibility and 1 indicates certainty. The higher the probability
of an event, the more likely it is that the event will occur. Central subjects
in probability theory include discrete and continuous random variables,
probability distributions, and stochastic processes, which provide mathematical
abstractions of non-deterministic or uncertain processes or measured quantities
that may either be single occurrences or evolve over time in a random fashion.
As a mathematical foundation for statistics, probability theory is essential to
many human activities that involve quantitative analysis of data. Methods of
probability theory also apply to descriptions of complex systems given only
partial knowledge of their state, as in statistical mechanics.
In this special issue, we intend to invite front-line
researchers and authors to submit original research and review articles on Probability and Mathematical Statistics. Potential topics include, but are not limited
to:
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Random variables and probability distributions
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Properties of estimates
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Logic of uncertainty
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Probability and stochastic processes
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Bayesian estimation and probability
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Probability and complex systems
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Probability for markov chains
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Central limit theorem
Authors should read over the journal’s For Authors carefully before submission. Prospective
authors should submit an electronic copy of their complete manuscript through
the journal’s Paper Submission System.
Please kindly notice that the “Special Issue”
under your manuscript title is supposed to be specified and the research field
“Special Issue – Probability and
Mathematical Statistics” should be chosen during your submission.
According to the
following timetable:
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Submission Deadline
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October 2nd, 2020
|
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Publication Date
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December 2020
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For
publishing inquiries, please feel free to contact the Editorial Assistant at submission.entrance1@scirp.org
APM
Editorial Office
apm@scirp.org