frequentist method

frequentist method

Any statistical device—e.g., significance tests and confidence intervals—that can be interpreted in terms of the frequency of certain outcomes occurring in hypothetical repeated realisations of the same experimental situation.
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References in periodicals archive ?
It is again worth mentioning that all previous work, related to weight-age relationship of sheep, used the frequentist method for fitting various growth models.
Moreover, simulation studies of chemical mixtures have observed accuracy and precision advantages of BHR methods over their frequentist method counterparts (e.g., Roli and Monari 2015).
The critical rainfall condition for landslides was estimated by the rainfall intensity-duration (I-D) threshold using the frequentist method proposed by Brunetti et al.
The frequentist method for a random variable with a known type of distribution is formulated as follows: given a required absolute error [delta] and probability 1-[alpha], find sample size n to ensure that the mean value of the variable is within a given interval with a high probability, such as 0.95.
Model [M.sub.4] - Assuming non-informative exponential distributions as a prior for all the parameters: M, b, c ~ exp ([mu]), with [mu] mean estimated by the frequentist method.
Bayesian and frequentist methods for provider profiling using risk-adjusted assessments of medical outcomes.
The frequentist methods commonly used to estimate age from eye lens dry mass were reviewed by Dapson (1980).
probability of proportion of false positives among the significant QTL, while frequentist methods set stringent thresholds due to huge number of SNPs markers in the GWAS test (Fernando and Garrick, 2013).
In fact, Bayesian inference is a good option as opposed to frequentist methods (least squares), because tab is based on iterative processes, or alternatively, means are used to linearize the model by logarithmic transformation (SILVA et al., 2005; ROSSI, 2011).
The management researcher faced with a choice between Bayesian and frequentist methods has much to consider.
The second element is the application of frequentist methods to a valuation problem that is not a problem of population characterization and does not require probability (random) sampling.
The superiority of Baysean meta-analysis over frequentist methods is, therefore, not clear but does represent a reasonable line of enquiry.