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Showing 1 to 6 of 6 for “"Truncated distribution"”.
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General methods for analyzing bounded proportion data
… of beta inflated models by allowing the distribution on (0,1) of the continuous component of the dependent variable to come from any explicit or transformed (i.e. logit or truncated) distribution on (0,1) including highly skewed and/or kurtotic or bimodal distributions. The second …
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The Truncated Cauchy Distribution: Estimation of Parameters and Application to Stock Returns
… existence and estimation of the parameters of a truncated Cauchy distribution. It is known that when a number of distributions with infinite support are truncated to a finite interval that the maximum likelihood estimator of the scale parameter fails to exist with positive probability. In …
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An Investigation into the Analysis of Truncated Standard Normal Distributions Using Heuristic Techniques
<p>Standard normal distributions (SND) and truncated standard normal distributions (TSND) have been widely used and accepted methods to characterize the data sets in various engineering disciplines, financial industries, medical fields, management, and other mathematic and scientific applications. …
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Estimation in Truncated Exponential Family of Distributions
<p>Estimating the parameters of a truncated distribution is a well known problem in statistical inference. The non-existence of the maximum likelihood estimator (m.l.e.) with positive probability in certain truncated distributions is not well known. To mention a few results in the literature:</p> …
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Some properties of conditional distributions of a special type
… treated in this thesis is the conditional distribution of a random variable given that the outcome of an associated random variable lies within a specified interval. This may be considered to be an extension of the classical case in which the outcome of the associated random variable is …
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Debiasing Cyber Incidents – Correcting for Reporting Delays and Under-reporting
… in cyber incidents is resolved by generating the distribution of reporting delays and fitting modeled parametric distributions on the given domain. The reporting delay distribution was found to be non-stationary and bimodal. While non-stationarity was handled by generating the monthly reporting …