Global ETD Search
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Showing 1 to 15 of 15 for “"Truncated normal"”.
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Joint distribution of X and X(n) for a random sample from the standard normal distribution with applications to a variables sampling inspection procedure which guarantees acceptance of perfectly screened lots.
… a sample for a random sample from the standard normal distribution are presented for a variables sampling inspection procedure which guarantees acceptance of perfectly screened lots. The quality of each item in the lot is described by a single quality characteristic. It is assumed that this …
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A Comparison for Longitudinal Data Missing Due to Truncation
… Assuming that the observations arise from a truncated normal distribution, they suggested an EM algorithm to simplify the estimation.In this dissertation the EM algorithm is implemented for the MDT method when data may include missing at random (MAR) cases. A data set, where the missing data …
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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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The effects of three different priors for variance parameters in the normal-mean hierarchical model
… three priors – conjugate inverse-gamma, log-normal and truncated normal for the variance parameters and do the numerical analysis on Gelman’s 8-schools data. Then with the posterior draws, I compare the Bayesian credible intervals of parameters using the three priors. I use predictive …
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An Item Response Unfolding Model for Graphic Rating Scales
… item response function is developed based on the truncated normal density. The item parameters are estimated using maximum marginal likelihood estimation, and the standard errors of the estimates are computed from the observed information matrix. Simulation studies were conducted to investigate …
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Essays on Characterizing Inefficiency for Stochastic Frontier Models
… skew problem”. Waldman (1982) shows that for the normal-half normal model if the wrong skew occurs then (1) MLEs reduce to OLS, (2) this solution is stable, and (3) there is a relationship between the skew of OLS residuals and the MLE of the pretruncated variance of inefficiency. In the literature …
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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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Nonlinear models with measurement error: Application to vitamin D
… the unobservable usual vitamin D intakes are normally distributed, and discuss maximum likelihood estimation in that context. We then propose an extended model where we no longer assume that the distribution for the unobservable predictor is normal, but instead is a finite mixture of discrete …
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Spatial and Temporal Characterization of the Petrified Springs Fault, Central Walker Lane, Nevada: Documenting Middle Miocene Dextral Slip
… offset markers, three paleovalleys and one truncated normal fault, constrain the slip history of the Petrified Springs fault. The three volcanic-filled paleovalleys yield ages of 27.11 ± 0.07 Ma (Henry and Faulds, 2010), 16.1 ± 0.1 Ma (<sup>40</sup>Ar/<sup>39</sup>Ar age, this study), 15.71 …
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Principal component analysis and classification of discrete and mixed feature datasets using Gaussian copula
… a low dimensional representation from the latent normal random vectors with the assumed Gaussian copula model. A rank based estimator for correlation matrix in the Gaussian copula for discrete dataset is developed, extending the current rank based estimator for only continuous data. Methodology …
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Production frontiers and efficiency measures : concepts and applications
… proposed in the literature, the half- or truncated normal has received a relatively wider applications than others such as gamma and exponential. Quite often the choice of the distributions is based on ease of empirical estimation. Second, the specification of the stochastic frontier …
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Production frontiers and efficiency measures : concepts and applications
… proposed in the literature, the half- or truncated normal has received a relatively wider applications than others such as gamma and exponential. Quite often the choice of the distributions is based on ease of empirical estimation. Second, the specification of the stochastic frontier …
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Topics in imbalanced data classification : AdaBoost and Bayesian relevance vector machine
… parameter in our model follows the multivariate normal distribution and achieves a closed-form solution. A latent variable is needed in our algorithm to simplify the Bayesian computation greatly, and its conditional posterior follows a truncated normal distribution. Compared with the original RVM …
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Asymptotic Analysis and Performance-based Design of Large Scale Service and Inventory Systems
… limiting queue length distribution is a normalized weighted average of two truncated normal distributions and then extend our results to analyze make-to-stock queues with/without perishability and limiting inventory space by inducing thresholds on the production (positive) side of the …
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Toward a Resilient Public Transportation System: Effective Monitoring and Control under Service Disruptions
… we approximate the headway as a zero-inflated truncated normal distribution to obtain a closed-form moment generating function (MGF). Based on the MGF, we derive the system stability conditions and the mean and variance of queue length and waiting time at each station with analytical …