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Dissertations / Theses on the topic 'Normal models'

Author: Grafiati

Published: 4 June 2025

Last updated: 1 August 2025

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1

Frühwirth-Schnatter, Sylvia. "Recursive Residuals and Model Diagnostics for Normal and Non-Normal State Space Models." Department of Statistics and Mathematics, WU Vienna University of Economics and Business, 1994. http://epub.wu.ac.at/1540/1/document.pdf.

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Model diagnostics for normal and non-normal state space models is based on recursive residuals which are defined from the one-step ahead predictive distribution. Routine calculation of these residuals is discussed in detail. Various tools of diagnostics are suggested to check e.g. for wrong observation distributions and for autocorrelation. The paper also covers such topics as model diagnostics for discrete time series, model diagnostics for generalized linear models, and model discrimination via Bayes factors. (author's abstract)<br>Series: Forschungsberichte / Institut für Statistik

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2

Al-Bashabsheh, Ali. "Normal Factor Graphs." Thèse, Université d'Ottawa / University of Ottawa, 2014. http://hdl.handle.net/10393/30659.

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This thesis introduces normal factor graphs under a new semantics, namely, the exterior function semantics. Initially, this work was motivated by two distinct lines of research. One line is ``holographic algorithms,'' a powerful approach introduced by Valiant for solving various counting problems in computer science; the other is ``normal graphs,'' an elegant framework proposed by Forney for representing codes defined on graphs. The nonrestrictive normality constraint enables the notion of holographic transformations for normal factor graphs. We establish a theorem, called the generalized Ho

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Vinerean, Mirela Christina. "Classification of Normal Discrete Kinetic Models." Licentiate thesis, Karlstad University, Division for Engineering Sciences, Physics and Mathematics, 2004. http://urn.kb.se/resolve?urn=urn:nbn:se:kau:diva-2431.

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<p>“In many interesting papers on discrete velocity models (DVMs), authors postulate from the beginning that the finite velocity space with "good" properties is given and only after this step they study the Discrete Boltzmann Equation. Contrary to this approach, our aim is not to study the equation, but to discuss all possible choices of finite phase spaces (sets) satisfying this type of "good" restrictions. Due to the velocity discretization it is well known that it is possible to have DVMs with "spurious" summational invariants (conservation laws which are not linear combinations of physical

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Panda, Manasa Ranjan. "Computer models of normal and impaired hearing." Thesis, University of Exeter, 2010. https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.528857.

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5

Shen, Yichang. "Reduced-order models for geometrically nonlinear vibrations of thin structures." Thesis, Institut polytechnique de Paris, 2021. http://www.theses.fr/2021IPPAE012.

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Lorsqu'elles vibrent avec de grandes amplitudes, les structures minces montrent un comportement non linéaire géométrique, provenant de la relation non linéaire entre les déformations et les déplacements. Les analyses des systèmes complets font appel à des calculs extrêmement couteux de telle sorte que l'établissement de modèles d'ordre réduit efficaces est un sujet d'intérêt majeur pour le calcul prédictif de vibrations de structures minces.Dans cette thèse, des méthodes non linéaires de réduction de modèle pour les structures discrétisées par la méthode des éléments finis et comportant une no

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6

Roux, Hannaline. "Construction and parameter estimation of wrapped normal models." Diss., University of Pretoria, 2019. http://hdl.handle.net/2263/77880.

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If a known distribution on a real line is given, it can be wrapped on the circumference of a unit circle. This research entails the study of a univariate skew-normal distribution where the skew-normal distribution is generalised for the case of bimodality. Both the skew-normal and exible generalised skew-normal distributions are wrapped onto a unit circle, consequently referred to as a wrapped skew-normal and a wrapped exible generalised skew-normal distribution respectively. For each of these distributions a simulation study is conducted, where the performance of maximum likelihood

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Frühwirth-Schnatter, Sylvia. "Bayesian Model Discrimination and Bayes Factors for Normal Linear State Space Models." Department of Statistics and Mathematics, WU Vienna University of Economics and Business, 1993. http://epub.wu.ac.at/108/1/document.pdf.

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It is suggested to discriminate between different state space models for a given time series by means of a Bayesian approach which chooses the model that minimizes the expected loss. Practical implementation of this procedures requires a fully Bayesian analysis for both the state vector and the unknown hyperparameters which is carried out by Markov chain Monte Carlo methods. Application to some non-standard situations such as testing hypotheses on the boundary of the parameter space, discriminating non-nested models and discrimination of more than two models is discussed in detail. (author's a

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8

Devamitta, Perera Muditha Virangika. "Robustness of normal theory inference when random effects are not normally distributed." Kansas State University, 2011. http://hdl.handle.net/2097/8786.

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Master of Science<br>Department of Statistics<br>Paul I. Nelson<br>The variance of a response in a one-way random effects model can be expressed as the sum of the variability among and within treatment levels. Conventional methods of statistical analysis for these models are based on the assumption of normality of both sources of variation. Since this assumption is not always satisfied and can be difficult to check, it is important to explore the performance of normal based inference when normality does not hold. This report uses simulation to explore and assess the robustness of the F-test fo

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Qi, Meng. "Development in Normal Mixture and Mixture of Experts Modeling." UKnowledge, 2016. http://uknowledge.uky.edu/statistics_etds/15.

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In this dissertation, first we consider the problem of testing homogeneity and order in a contaminated normal model, when the data is correlated under some known covariance structure. To address this problem, we developed a moment based homogeneity and order test, and design weights for test statistics to increase power for homogeneity test. We applied our test to microarray about Down’s syndrome. This dissertation also studies a singular Bayesian information criterion (sBIC) for a bivariate hierarchical mixture model with varying weights, and develops a new data dependent information criterio

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Chang, Ilsung. "Bayesian inference on mixture models and their applications." Texas A&M University, 2003. http://hdl.handle.net/1969.1/3990.

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Mixture models are useful in describing a wide variety of random phenomena because of their flexibility in modeling. They have continued to receive increasing attention over the years from both a practical and theoretical point of view. In their applications, estimating the number of mixture components is often the main research objective or the first step toward it. Estimation of the number of mixture components heavily depends on the underlying distribution. As an extension of normal mixture models, we introduce a skew-normal mixture model and adapt the reversible jump Markov chain Monte Car

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11

Dostál, Michal. "Closures of (U+K)-orbits of essentially normal models." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1998. http://www.collectionscanada.ca/obj/s4/f2/dsk2/tape15/PQDD_0002/NQ34757.pdf.

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12

Mateu, Figueras Glòria. "Models de distribució sobre el símplex." Doctoral thesis, Universitat Politècnica de Catalunya, 2003. http://hdl.handle.net/10803/6706.

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Les dades composicionals són vectors les components dels quals representen proporcions respecte d'un total, i per tant estan sotmesos a la restricció que la suma de les seves components és una constant. L'espai natural per a vectors amb D components és el símplex SD. En l'àmbit de la modelització, ens trobem amb una gran dificultat: no coneixem prou classes de distribucions que permetin modelitzar adequadament la majoria dels conjunts de dades composicionals. <br/>En els anys 80, Aitchison proposa una metodologia per treballar amb dades composicionals que hem anomenat metodologia MOVE, ja que

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Ferreira, Clécio da Silva. "Inferência e diagnósticos em modelos assimétricos." Universidade de São Paulo, 2008. http://www.teses.usp.br/teses/disponiveis/45/45133/tde-28042008-113150/.

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Este trabalho apresenta um estudo de inferência e diagnósticos em modelos assimétricos. A análise de influência é baseada na metodologia para modelos com dados incompletos, que é relacionada ao algoritmo EM (Zhu e Lee, 2001). Além dos modelos de regressão Normal Assimétrico (Azzalini, 1999) e t-Normal Assimétrico (Gómez, Venegas e Bolfarine, 2007) existentes, são desenvolvidas duas novas classes de modelos, denominados modelos de misturas de escala normal assimétricos (englobando as distribuições Normal, t-Normal, Slash, Normal-Contaminada e Exponencial-potência Assimétricas) e modelos linear

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Gagné, Isabelle Marie. "Development of equivalent uniform dose models for normal tissue irradiation." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1999. http://www.collectionscanada.ca/obj/s4/f2/dsk2/ftp01/MQ40051.pdf.

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Rasoafaraniaina, Rondrotiana J. "Preliminary test estimation in uniformly locally and asymptotically normal models." Doctoral thesis, Universite Libre de Bruxelles, 2020. https://dipot.ulb.ac.be/dspace/bitstream/2013/312253/4/Contents.pdf.

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The present thesis provides a general asymptotic theory for preliminary test estimators (PTEs). PTEs are typically used when one needs to estimate a parameter having some uncertain prior information about it. In the literature, preliminary test estimation have been applied to some specific models, but no general asymptotic theory was already available to the best of our knowledge. After a study of PTEs in a multisample principal component context, we first provide a general asymptotic theory for PTEs in uniformly, locally and asymptotically normal (ULAN) models. An extensive list of statistica

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16

Orjuela, Maria del Pilar. "A Study on the Correlation of Bivariate And Trivariate Normal Models." FIU Digital Commons, 2013. http://digitalcommons.fiu.edu/etd/976.

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Suppose two or more variables are jointly normally distributed. If there is a common relationship between these variables it would be very important to quantify this relationship by a parameter called the correlation coefficient which measures its strength, and the use of it can develop an equation for predicting, and ultimately draw testable conclusion about the parent population. This research focused on the correlation coefficient ρ for the bivariate and trivariate normal distribution when equal variances and equal covariances are considered. Particularly, we derived the maximum Likelihood

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17

Mvondo, Bernardin Gael. "Numerical techniques for optimal investment consumption models." University of the Western Cape, 2014. http://hdl.handle.net/11394/4352.

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>Magister Scientiae - MSc<br>The problem of optimal investment has been extensively studied by numerous researchers in order to generalize the original framework. Those generalizations have been made in different directions and using different techniques. For example, Perera [Optimal consumption, investment and insurance with insurable risk for an investor in a Levy market, Insurance: Mathematics and Economics, 46 (3) (2010) 479-484] applied the martingale approach to obtain a closed form solution for the optimal investment, consumption and insurance strategies of an individual in the presence

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18

Maehara, Sánchez Rocío Paola 1983. "Modelo de regressão linear Sinh-Normal : Aplicações à tempo de vidas." [s.n.], 2014. http://repositorio.unicamp.br/jspui/handle/REPOSIP/307090.

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Orientador: Filidor Edilfonso Vilca Labra<br>Dissertação (mestrado) - Universidade Estadual de Campinas, Instituto de Matemática Estatística e Computação Científica<br>Made available in DSpace on 2018-08-24T22:21:27Z (GMT). No. of bitstreams: 1 MaeharaSanchez_RocioPaola_M.pdf: 3392400 bytes, checksum: 820e10611571e2e9984d25f94c00ced2 (MD5) Previous issue date: 2014<br>Resumo: A família de distribuições Sinh-Normal é uma classe de distribuições simétricas com três parâmetros, e devido à presença destes parâmetros esta família é flexível. Quando a distribuição Sinh-Normal é unimodal, esta dist

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19

Dewald, Lee Samuel, and Peter A. W. Lewis. "Times series models with a specified symmetric non-normal marginal distribution." Thesis, Monterey, California. Naval Postgraduate School, 1985. http://hdl.handle.net/10945/21585.

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20

Karlsson, Faronius Håkan. "On the Implementation of Computer Intensive Methods in Linear Normal Models." Thesis, Uppsala universitet, Tillämpad matematik och statistik, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-447013.

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21

Gardini, Aldo <1992&gt. "Bayesian inference for quantiles and conditional means in log-normal models." Doctoral thesis, Alma Mater Studiorum - Università di Bologna, 2020. http://amsdottorato.unibo.it/9349/1/Tesi_upload.pdf.

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The main topic of the thesis is the proper execution of a Bayesian inference if log-normality is assumed for data. In fact, it is known that a particular care is required in this context, since the most common prior distributions for the variance in log scale produce posteriors for the log-normal mean which do not have finite moments. Hence, classical summary measures of the posterior such as expectation and variance cannot be computed for these distributions. The thesis is aimed at proposing solutions to carry out Bayesian inference inside a mathematically coherent framework, focusing on the

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Matos, Larissa Avila 1987. "Modelos lineares e não lineares de efeitos mistos para respostas censuradas usando as distribuições normal e t-Student multivariadas." [s.n.], 2012. http://repositorio.unicamp.br/jspui/handle/REPOSIP/306684.

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Orientador: Víctor Hugo Lachos Dávila<br>Dissertação (mestrado) - Universidade Estadual de Campinas, Instituto de Matemática, Estatística e Computação Científica<br>Made available in DSpace on 2018-08-20T06:44:43Z (GMT). No. of bitstreams: 1 Matos_LarissaAvila_M.pdf: 2008810 bytes, checksum: 0aee0c4f4bbf58ba67490d26cdd300ba (MD5) Previous issue date: 2012<br>Resumo: Modelos mistos são geralmente usados para representar dados longitudinais ou de medidas repetidas. Uma complicação adicional surge quando a resposta é censurada, por exemplo, devido aos limites de quantificação do ensaio utilizad

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23

Ramires, Thiago Gentil. "A distribuição beta semi-normal generalizada geométrica." Universidade de São Paulo, 2013. http://www.teses.usp.br/teses/disponiveis/11/11134/tde-22082013-154605/.

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Com o avanço tecnológico aprimorado, diferentes comportamentos do tempo de vida vem sendo estudados, e com isso é necessário a criação de novos modelos, muitas vezes mais complexos, para melhor ajuste e inferência sobre a população em estudo. A distribuição beta semi-normal generalizada é útil para modelagem de tempos de vida, e com isso propomos neste trabalho uma distribuição mais ampla chamada distribuição beta semi-normal generalizada geométrica, cuja função de risco pode assumir as formas crescente, decrescente, forma de banheira ou modal. A função densidade da nova distribuição é escrita

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Valenzuela, Robert Keams. "Predictive Modeling for Complex Traits: Normal Human Pigmentation Variation." Diss., The University of Arizona, 2011. http://hdl.handle.net/10150/145309.

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Melanin pigmentation is a complex trait governed by many genes. Variation in melanin pigmentation within, and between, populations makes it an important trait for assisting in physical identification of an individual in forensic investigations. Utilizing a training sample (n=789) comprised of various ethnicities and SNPs (75) in 24 genes previously implicated in human or animal pigmentation studies, I determined three-SNP multiple linear regression models that accounted for large proportions of pigmentation variation in skin (45.7%), eye color (76.4%), and hair [eumelanin-to-pheomelanin (43.

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Peterson, Justin. "Making novelty normal : a theory of sentence processing." Diss., Georgia Institute of Technology, 1996. http://hdl.handle.net/1853/8241.

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Liang, Liwen. "On Simulation Methods for Two Component Normal Mixture Models under Bayesian Approach." Thesis, Uppsala University, Department of Mathematics, 2009. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-119752.

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Liang, Yuli. "Contributions to Estimation and Testing Block Covariance Structures in Multivariate Normal Models." Doctoral thesis, Stockholms universitet, Statistiska institutionen, 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:su:diva-115347.

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This thesis concerns inference problems in balanced random effects models with a so-called block circular Toeplitz covariance structure. This class of covariance structures describes the dependency of some specific multivariate two-level data when both compound symmetry and circular symmetry appear simultaneously. We derive two covariance structures under two different invariance restrictions. The obtained covariance structures reflect both circularity and exchangeability present in the data. In particular, estimation in the balanced random effects with block circular covariance matrices is co

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Harvey, Eric Scott. "Normal Mixture Models for Gene Cluster Identification in Two Dimensional Microarray Data." VCU Scholars Compass, 2003. http://scholarscompass.vcu.edu/etd/1309.

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This dissertation focuses on methodology specific to microarray data analyses that organize the data in preliminary steps and proposes a cluster analysis method which improves the interpretability of the cluster results. Cluster analysis of microarray data allows samples with similar gene expression values to be discovered and may serve as a useful diagnostic tool. Since microarray data is inherently noisy, data preprocessing steps including smoothing and filtering are discussed. Comparing the results of different clustering methods is complicated by the arbitrariness of the cluster labels.

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Murray, Preston Roylance. "Flow-induced Responses of Normal, Bowed, and Augmented Synthetic Vocal Fold Models." BYU ScholarsArchive, 2011. https://scholarsarchive.byu.edu/etd/2873.

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The voice is the primary mode of communication for humans. Because the voice is so important, voice disorders tend to severely diminish quality of life. A better understanding of the physics of voice production can help to improve treatment of voice disorders. For this thesis research a self-oscillating synthetic vocal fold model was developed, compared with previous synthetic vocal fold models, and used to explore the physical effects of augmentation injections on vibration dynamics. The research was conducted in two stages. First, four vocal fold models were evaluated by quantifying onset pr

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Adams, Matthew P. "Mathematical models of calcium and tight junctions in normal and reconstructed epidermis." Thesis, Queensland University of Technology, 2015. https://eprints.qut.edu.au/81869/1/Matthew_Adams_Thesis.pdf.

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This project investigated the calcium distributions of the skin, and the growth patterns of skin substitutes grown in the laboratory, using mathematical models. The research found that the calcium distribution in the upper layer of the skin is controlled by three different mechanisms, not one as previously thought. The research also suggests that tight junctions, which are adhesions between neighbouring skin cells, cannot be solely responsible for the differences in the growth patterns of skin substitutes and normal skin.

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Sánchez, Rocio Paola Maehara. "An extension of Birnbaum-Saunders distributions based on scale mixtures of skew-normal distributions with applications to regression models." Universidade de São Paulo, 2018. http://www.teses.usp.br/teses/disponiveis/45/45133/tde-14052018-202935/.

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The aim of this work is to present an inference and diagnostic study of an extension of the lifetime distribution family proposed by Birnbaum and Saunders (1969a,b). This extension is obtained by considering a skew-elliptical distribution instead of the normal distribution. Specifically, in this work we develop a Birnbaum-Saunders (BS) distribution type based on scale mixtures of skew-normal distributions (SMSN). The resulting family of lifetime distributions represents a robust extension of the usual BS distribution. Based on this family, we reproduce the usual properties of the BS distribut

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Fan, Qian. "NORMAL MIXTURE AND CONTAMINATED MODEL WITH NUISANCE PARAMETER AND APPLICATIONS." UKnowledge, 2014. http://uknowledge.uky.edu/statistics_etds/9.

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This paper intend to find the proper hypothesis and test statistic for testing existence of bilaterally contamination when there exists nuisance parameter. The test statistic is based on method of moments estimators. Union-Intersection test is used for testing if the distribution of population can be implemented by a bilaterally contaminated normal model with unknown variance. This paper also developed a hierarchical normal mixture model (HNM) and applied it to birth weight data. EM algorithm is employed for parameter estimation and a singular Bayesian information criterion (sBIC) is applied t

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Gory, Jeffrey J. "Marginally Interpretable Generalized Linear Mixed Models." The Ohio State University, 2017. http://rave.ohiolink.edu/etdc/view?acc_num=osu1497966698387606.

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Abrantes, Mário António Rodrigues Grande. "Revision based total semantics for extended normal logic programs." Doctoral thesis, Faculdade de Ciências e Tecnologia, 2013. http://hdl.handle.net/10362/11315.

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Muench, David. "Gfi1-controlled transcriptional circuits in normal and malignant hematopoiesis." University of Cincinnati / OhioLINK, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1553250015825734.

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Feldkircher, Martin, and Florian Huber. "Adaptive Shrinkage in Bayesian Vector Autoregressive Models." WU Vienna University of Economics and Business, 2016. http://epub.wu.ac.at/4933/1/wp221.pdf.

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Vector autoregressive (VAR) models are frequently used for forecasting and impulse response analysis. For both applications, shrinkage priors can help improving inference. In this paper we derive the shrinkage prior of Griffin et al. (2010) for the VAR case and its relevant conditional posterior distributions. This framework imposes a set of normally distributed priors on the autoregressive coefficients and the covariances of the VAR along with Gamma priors on a set of local and global prior scaling parameters. This prior setup is then generalized by introducing another layer of shrinkage wit

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Chaves, Nathalia Lima 1989. "Modelos de regressão Birnbaum-Saunders baseados na distribuição normal assimétrica centrada." [s.n.], 2015. http://repositorio.unicamp.br/jspui/handle/REPOSIP/306793.

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Orientadores: Caio Lucidius Naberezny Azevedo, Filidor Edilfonso Vilca Labra<br>Dissertação (mestrado) - Universidade Estadual de Campinas, Instituto de Matemática Estatística e Computação Científica<br>Made available in DSpace on 2018-08-26T22:33:37Z (GMT). No. of bitstreams: 1 Chaves_NathaliaLima_M.pdf: 3044792 bytes, checksum: 8fea3cd9d074997b605026a7a4526c35 (MD5) Previous issue date: 2015<br>Resumo: A classe de modelos Birnbaum-Saunders (BS) foi desenvolvida a partir de problemas que surgiram na área de confiabilidade de materiais. Tais problemas, em geral, são ligados ao estudo de fadi

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Börjesson, Carl, and Ossian Löhnn. "Univariate GARCH models with realized variance." Thesis, Uppsala universitet, Statistiska institutionen, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-386073.

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This essay investigates how realized variance affects the GARCH-models (GARCH, EGARCH, GJRGARCH) when added as an external regressor. The GARCH models are estimated with three different distributions; Normal-, Student’s t- and Normal inverse gaussian distribution. The results are ambiguous - the models with realized variance improves the model fit, but when applied to forecasting, the models with realized variance are performing similar Value at Risk predictions compared to the models without realized variance.

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Santana, Lucia Rolim. "Estimação e diagnostico em modelos Birnbaum-Saunders skew-normal." [s.n.], 2009. http://repositorio.unicamp.br/jspui/handle/REPOSIP/307092.

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Orientador: Filidor Edilfonso Vilca Labra<br>Dissertação (mestrado) - Universidade Estadual de Campinas, Instituto de Matematica, Estatistica e Computação Cientifica<br>Made available in DSpace on 2018-08-13T12:05:21Z (GMT). No. of bitstreams: 1 Santana_LuciaRolim_M.pdf: 2777481 bytes, checksum: 1fc4e9545174b66579970259631b5d20 (MD5) Previous issue date: 2009<br>Resumo: A classe de modelos Birnbaum-Saunders (BS) surgiu em problemas de fadiga dos materiais (que 'e um dano estrutural que ocorre quando um material é exposto a estresse e tensão). Nos últimos tempos, este modelo tem sido aplicado

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Magella, Bliss. "A Journey Through the Developing Kidney:Analysis of normal and Hoxa9,10,11-/-Hoxd9,10,11-/- Mouse Models." University of Cincinnati / OhioLINK, 2018. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1523629396626027.

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Cheevatanarak, Suchittra. "A Comparison of Multivariate Normal and Elliptical Estimation Methods in Structural Equation Models." Thesis, University of North Texas, 1999. https://digital.library.unt.edu/ark:/67531/metadc278401/.

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In the present study, parameter estimates, standard errors and chi-square statistics were compared using normal and elliptical estimation methods given three research conditions: population data contamination (10%, 20%, and 30%), sample size (100, 400, and 1000), and kurtosis (kappa =1,10, 20).

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Rajaram, Lakshminarayan. "Statistical models in environmental and life sciences." [Tampa, Fla] : University of South Florida, 2006. http://purl.fcla.edu/usf/dc/et/SFE0001561.

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Kelbick, Nicole DePriest. "Detecting underlying emotional sensitivity in bereaved children via a multivariate normal mixture distribution." Columbus, Ohio : Ohio State University, 2003. http://rave.ohiolink.edu/etdc/view?acc%5fnum=osu1064331329.

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Thesis (Ph. D.)--Ohio State University, 2003.<br>Title from first page of PDF file. Document formatted into pages; contains xiv, 122 p.; also contains graphics. Includes abstract and vita. Advisor: Joseph, Dept. of Statistics. Includes bibliographical references (p. 119-122).

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Sánchez, Luis Enrique Benites. "Finite mixture of regression models." Universidade de São Paulo, 2018. http://www.teses.usp.br/teses/disponiveis/45/45133/tde-10052018-131627/.

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This dissertation consists of three articles, proposing extensions of finite mixtures in regression models. Here we consider a flexible class of both univariate and multivariate distributions, which allow adequate modeling of asymmetric data that have multimodality, heavy tails and outlying observations. This class has special cases such as skew-normal, skew-t, skew-slash and skew normal contaminated distributions, as well as symmetric cases. Initially, a model is proposed based on the assumption that the errors follow a finite mixture of scale mixture of skew-normal (FM-SMSN) distribution rat

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Wang, Xing. "Inferences about Parameters of Trivariate Normal Distribution with Missing Data." FIU Digital Commons, 2013. http://digitalcommons.fiu.edu/etd/933.

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Multivariate normal distribution is commonly encountered in any field, a frequent issue is the missing values in practice. The purpose of this research was to estimate the parameters in three-dimensional covariance permutation-symmetric normal distribution with complete data and all possible patterns of incomplete data. In this study, MLE with missing data were derived, and the properties of the MLE as well as the sampling distributions were obtained. A Monte Carlo simulation study was used to evaluate the performance of the considered estimators for both cases when ρ was known and unknown. Al

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Clemente, Emily. "Investigation of gene expression patterns in normal juvenile mouse testis and infertile mouse models." Thesis, University of Cambridge, 2006. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.597769.

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This thesis details the use of a series of cDNA libraries corresponding to several testis cell-types derived from juvenile mouse testes to investigate (i) the first wave of spermatogenesis in the wild-type mouse and four germ cell depleted mouse models where mutations have abrogated spermatogenesis at different points in the pathway (ii) mouse mutants with progressive deletions on the Y chromosome that perturb spermiogenesis (the final maturation stages of spermatogenesis). The gene expression patterns generated were validated by extensive comparison to existing data in the literature and the

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Micu, Tudor [Verfasser]. "Pseudovaluations on polynomial rings, diskoids and normal models of the projective line / Tudor Micu." Ulm : Universität Ulm, 2020. http://d-nb.info/1216949298/34.

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Wang, Junyi. "A Normal Truncated Skewed-Laplace Model in Stochastic Frontier Analysis." TopSCHOLAR®, 2012. http://digitalcommons.wku.edu/theses/1177.

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Stochastic frontier analysis is an exciting method of economic production modeling that is relevant to hospitals, stock markets, manufacturing factories, and services. In this 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 efficiency of the normal-truncated skewed-Laplace model. Also, we compare the technical efficiencies of normal-truncated skewed-Laplace mo

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Medina, Garay Aldo William. "Modelos não lineares sob a classe de distribuições misturas da escala skew-normal." [s.n.], 2010. http://repositorio.unicamp.br/jspui/handle/REPOSIP/306690.

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Orientadores: Victor Hugo Lachos Dávila, Filidor Edilfonso Vilca Labra<br>Dissertação (mestrado) - Universidade Estadual de Campinas, Instituto de Matemática, Estatística e Computação Científica<br>Made available in DSpace on 2018-08-16T04:06:26Z (GMT). No. of bitstreams: 1 MedinaGaray_AldoWilliam_M.pdf: 1389516 bytes, checksum: 2763869ea52e11ede3c860714ea0e75e (MD5) Previous issue date: 2010<br>Resumo: Neste trabalho estudamos alguns aspectos de estimação e diagnóstico de influência global e local de modelos não lineares sob a classe de distribuição misturas da escala skew-normal, baseado n

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Falon, Roger Jesus Tovar. "Modelos de regressão lineares mistos sob a classe de distribuições normal-potência." Universidade de São Paulo, 2017. http://www.teses.usp.br/teses/disponiveis/45/45133/tde-15032018-132547/.

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Neste trabalho são apresentadas algumas extensões dos modelos potência-alfa assumindo o contexto em que as observações estão censuradas ou limitadas. Inicialmente propomos um novo modelo assimétrico que estende os modelos t-assimétrico (Azzalini e Capitanio, 2003) e t-potência (Zhao e Kim, 2016) e inclui a distribuição t de Student como caso particular. Este novo modelo é capaz de ajustar dados com alto grau de assimetria e curtose, ainda maior do que os modelos t-assimétrico e t-potência. Em seguida estendemos o modelo t-potência às situações em que os dados apresentam censura, com alto grau

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