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To prove our main result, we have used some methods and techniques of probability theory.
As early as 1896, British professor K. Person applied the now standard statistical techniques of probability curves and regression lines to genetic data.
In particular, by means of the techniques of probability theory, we shall estimate the rate of convergence for the operators (( L_{n}f ) ) for functions of a bounded variation on ([0,1]) at points x where (f(x+)) and (f x-)) exist.
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To consider this class of model uncertainties, a special technique of probability measure transformations is developed.
Random sampling technique of probability based sampling methods was used in order to establish the study group.
We use the language and techniques of quantum probability but, even when restricted to the classical case, our results seem to be new.
These techniques enable formation of probability distributions of the indices.
Once again, we see that implementing a technique of Inverse Probability Weighting procedure yields the best performance in terms of reducing the bias.
A technique for reformulation of probability integrals involving an arbitrary function of a random vector is presented.
Other than such statistical models, in recent studies, researchers have shown seasonality pattern in the malaria incidence with the help of exponentially weighted moving average models (ARIMA) [30] and the Monte-Carlo Markov chain methods [31] with newly developed Bayesian techniques of a-priori probability assignment to the risk factors.
Initialize the channel selection technique with initial choice of probability distributions P. To limit effect of this step on results, every node has uniform initial probability of choosing every of its available channels.
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