Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 6 of 6 for “"Laplace Distribution"”.
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A Bi-variate Gamma Generalized Laplace Distribution
… introduces the Bivariate Gamma Generalized Laplace (BGGL) distribution, a novel member of the Bivariate Conditionally Normal (BCN) family. The BGGL combines a gamma-distributed variable with a conditionally normal variable, offering a flexible model for asymmetric, heavy-tailed bivariate …
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A Normal Truncated Skewed-Laplace Model in Stochastic Frontier Analysis
… paper, we create a new model using the normal distribution and truncated skew-Laplace distribution, namely the normal-truncated skew-Laplace model. This is a generalized model of the normal-exponential case. Furthermore, we compute the true technical efficiency and estimated technical …
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Some new Laplace-based probability distributions for modeling data with pronounced peaks combined with heavy tails and outliers
… publication of Kotz et al. (2001), the classical Laplace distribution and its skewed generalizations have become increasingly important in modeling univariate and multivariate data across diverse application areas. In this study, we explore several extensions of the Laplace model, both univariate …
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Fisher Information in Censored Samples from Univariate and Bivariate Populations and Their Applications
… the linkage between unfolded and folded distributions in terms of FI in a single order statistic and in Type-II censored samples for symmetric distributions. We exploit this connection to simplify the efforts in finding the FI in order statistics and in Type-II censored samples from an …
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Probabilistic renewable energy modelling in South Africa
… (GAEV) or quantile regression via asymmetric Laplace distribution (QR-ALD), additive quantile regression with covariate t (AQR-1), additive quantile regression with temperature variable (AQR-2) and penalised cubic regression smoothing spline (benchmark) models. The predictions from this study …
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Statistical models for estimating the intake of nutrients and foods from complex survey data
… by current methods. Firstly, the shape of the distribution of intake can be highly skewed due to the presence of outlier observations and a large proportion of zero observations arising from the inability of the food diary to capture consumption within the period of observation. Secondly, …