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Dissertations / Theses on the topic 'Estimation de normales'

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Published: 1 June 2024
Last updated: 31 July 2025

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1

Criticou, Doukissa. "Estimateurs à rétrécisseurs (cas de distributions normales) : une classe d'estimateurs bayesiens." Rouen, 1986. http://www.theses.fr/1986ROUES050.

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On s'intéresse au traitement bayésien de l'estimation de la moyenne dans le modèle linéaire gaussien, quand: 1) la variance est connue à un facteur multiplicatif près; 2) le coût utilisé est quadratique (inverse de la variance); 3) la probabilité a priori est un mélange de lois gaussiennes
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2

Rieux, Frédéric. "Processus de diffusion discret : opérateur laplacien appliqué à l'étude de surfaces." Thesis, Montpellier 2, 2012. http://www.theses.fr/2012MON20201/document.

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Le contexte est la géométrie discrète dans Zn. Il s'agit de décrire les courbes et surfaces discrètes composées de voxels: les définitions usuelles de droites et plans discrets épais se comportent mal quand on passe à des ensembles courbes. Comment garantir un bon comportement topologique, les connexités requises, dans une situation qui généralise les droites et plans discrets?Le calcul de données sur ces courbes, normales, tangentes, courbure, ou des fonctions plus générales, fait appel à des moyennes utilisant des masques. Une question est la pertinence théorique et pratique de ces masques.
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3

Charton, Jerome. "Etude de caractéristiques saillantes sur des maillages 3D par estimation des normales et des courbures discrètes." Thesis, Bordeaux, 2014. http://www.theses.fr/2014BORD0333/document.

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Dans l'objectif d'améliorer et d'automatiser la chaîne de reproductiond'objet qui va de l'acquisition à l'impression 3D. Nous avons cherché à caractériserde la saillance sur les objets 3D modélisés par la structure d'un maillage 3D.Pour cela, nous avons fait un état de l'art des méthodes d'estimation des proprié-tés différentielles, à savoir la normale et la courbure, sur des surfaces discrètes sousla forme de maillage 3D. Pour comparer le comportement des différentes méthodes,nous avons repris un ensemble de critères de comparaison classique dans le domaine,qui sont : la précision, la converg
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4

Caracotte, Jordan. "Reconstruction 3D par stéréophotométrie pour la vision omnidirectionnelle." Electronic Thesis or Diss., Amiens, 2021. http://www.theses.fr/2021AMIE0031.

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Cette thèse s'intéresse à la reconstruction 3D par stéréophotométrie et à la vision omnidirectionnelle. La stéréophotométrie repose sur l'exploitation de plusieurs photographies d'une scène, capturées sous différents éclairages par un même appareil immobile. La vision omnidirectionnelle rassemble les capteurs ainsi que les assemblages de caméras qui permettent de faire l'acquisition en une image d'une très grande portion de l'environnement autour de l'appareil. En s'appuyant sur quatre décennies de travaux en stéréophotométrie et en utilisant le modèle unifié pour la projection centrale, nous
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5

Terzakis, Demètre. "Estimateurs à rétrécisseurs (cas de distributions normales à variance connue à un facteur près) : contrôle de l'emploi de la différence entre l'observation et l'estimation des moindres carrés." Rouen, 1987. http://www.theses.fr/1987ROUES015.

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Dans le cadre général de l'estimation de la moyenne (supposée appartenir à v, sous-espace vectoriel strict de l'espace des observations) d'une loi normale multidimensionnelle y de variance connue à un facteur multiplicatif près, on cherche des conditions de domination de l'estimateur des moindres carrés t par des estimateurs à rétrécisseurs (autrement dit de James-Stein) de la forme t(y)-h(t(y), y-t(y))c(t(y)), où c est un endomorphisme de v. De nombreuses conditions "classiques" de domination apparaissent comme des corollaires des notres dans le cas ou t(y) et y-t(y) n'interviennent dans l'ex
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6

Lemaire, Jacques. "Étude de propriétés asymptotiques en classification." Nice, 1990. http://www.theses.fr/1990NICE4379.

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L'objectif de cette thèse est l'étude de propriétés de convergence des estimateurs construits dans un problème de classification d'un nombre fini de données, lorsque ce nombre tend vers l'infini. Un cadre probabiliste, pour cette étude est d'abord précisé. Le modèle sous-jacent est celui d'une décomposition sous la forme d'un mélange, de la loi de probabilité des observations. Nous citons quelques résultats de convergence montrant dans quelle mesure, des estimations consistantes des composantes du mélange étudié, peuvent produire des règles de classement asymptotiquement optimales. Ce résultat
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7

Valdivia, Paola Tatiana Llerena. "Correção de normais para suavização de nuvens de pontos." Universidade de São Paulo, 2013. http://www.teses.usp.br/teses/disponiveis/55/55134/tde-19032014-145046/.

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Nos anos recentes, suavização de superfícies é um assunto de intensa pesquisa em processamento geométrico. Muitas das abordagens para suavização de malhas usam um esquema de duas etapas: filtragem de normais seguido de um passo de atualização de vértices para corresponder com as normais filtradas. Neste trabalho, propomos uma adaptação de tais esquemas de duas etapas para superfícies representadas por nuvens de pontos. Para isso, exploramos esquemas de pesos para filtrar as normais. Além disso, investigamos três métodos para estimar normais, analisando o impacto de cada método para estimar nor
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8

Fernandez-Abrevaya, Victoria. "Apprentissage à grande échelle de modèles de formes et de mouvements pour le visage 3D." Electronic Thesis or Diss., Université Grenoble Alpes, 2020. https://theses.hal.science/tel-03151303.

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Les modèles du visage 3D fondés sur des données sont une direction prometteuse pour capturer les subtilités complexes du visage humain, et une composante centrale de nombreuses applications grâce à leur capacité à simplifier des tâches complexes. La plupart des approches basées sur les données à ce jour ont été construites à partir d’un nombre limité d’échantillons ou par une augmentation par données synthétiques, principalement en raison de la difficulté à obtenir des scans 3D à grande échelle. Pourtant, il existe une quantité substantielle d’informations qui peuvent être recueillies lorsque
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9

Wage, Kathleen E. "Adaptive estimation of acoustic normal modes." Thesis, Massachusetts Institute of Technology, 1994. http://hdl.handle.net/1721.1/12096.

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10

Grip, Marcus. "Tyre Performance Estimation during Normal Driving." Thesis, Linköpings universitet, Fordonssystem, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-176558.

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Driving with tyres not appropriate for the actual conditions can not only lead to accidents related to the tyres, but also cause detrimental effects on the environment via emission of rubber particles if the driving conditions are causing an unexpectedly high amount of tread wear. Estimating tyre performance in an online setting is therefore of interest, and the feasibility to estimate friction performance, velocity performance, and tread wear utilizing available information from the automotive grade sensors is investigated in this thesis. For the friction performance, a trend analysis is perf
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11

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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12

Stephens, Matthew. "Bayesian methods for mixtures of normal distributions." Thesis, University of Oxford, 1997. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.242056.

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13

Qumsiyeh, Sahar Botros. "Non-normal Bivariate Distributions: Estimation And Hypothesis Testing." Phd thesis, METU, 2007. http://etd.lib.metu.edu.tr/upload/12608941/index.pdf.

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When using data for estimating the parameters in a bivariate distribution, the tradition is to assume that data comes from a bivariate normal distribution. If the distribution is not bivariate normal, which often is the case, the maximum likelihood (ML) estimators are intractable and the least square (LS) estimators are inefficient. Here, we consider two independent sets of bivariate data which come from non-normal populations. We consider two distinctive distributions: the marginal and the conditional distributions are both Generalized Logistic, and the marginal and conditional distributio
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14

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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15

Nogueira, Josà Ivan Mota. "Uma estimativa interior do gradiente para a equaÃÃo da curvatura mÃdia em variedades riemannianas." Universidade Federal do CearÃ, 2012. http://www.teses.ufc.br/tde_busca/arquivo.php?codArquivo=8636.

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CoordenaÃÃo de AperfeiÃoamento de NÃvel Superior<br>Deduzimos uma estimativa interior do gradiente para a equaÃÃo da curvatura mÃdia para grÃficos de Killing em variedades riemanianas inspirado na tÃcnica de pertubaÃÃes normais devido a N. Korevaar.<br>We deduce an interior gradient estimate for the mean curvature equation for Killing graphs in Riemannian manifolds inspired by the normal perturbation technique due to N. Korevaar.
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16

Eiesland, Ole Wostryck. "Estimating seabed velocities from normal modes." Thesis, Norges teknisk-naturvitenskapelige universitet, Institutt for petroleumsteknologi og anvendt geofysikk, 2012. http://urn.kb.se/resolve?urn=urn:nbn:no:ntnu:diva-18514.

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In this Master Thesis a method for estimating seabed p-wave velocities from normal mode seismic data is developed. This is done through forward modeling using two dimensional finite difference modeling to generate synthetic data based on a given parallel two layered laterally varying seabed velocity model and a constant two layered density model, with a common fixed water depth. A semblance inversion technique is developed in MATLAB using the period equation eqref{eq:period} and the resulting velocity profiles is plotted against the exact velocity model to check the validity of the estimates.
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17

Al, Hassan Ahmad. "Estimation des lois extremes multivariees." Paris 6, 1988. http://www.theses.fr/1988PA066014.

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Soit (x::(1),y::(1)). . . (x::(n),y::(n)) un echantillon du vecteur aleatoire extreme (x,y) i. I. D. Suivant l'un des modeles : logistique, gumbel, mixte, naturel. En reduisant les informations par des procedes nouveaux, on presente des resultats originaux sur le probleme d'estimation des parametres de liaison de (x,y) et en faisant des tests bases sur ces estimateurs. Finalement, on etablit quelques resultats sur le probleme d'estimation non parametrique d'une fonction de dependance
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18

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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19

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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20

Fourdrinier, Dominique. "Deux extensions des résultats classiques sur les estimateurs à rétrécisseur : cas de rétrécisseurs non différentiables ; cas de lois à symétrie sphérique." Rouen, 1986. http://www.theses.fr/1986ROUES043.

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Nous considérons une classe d'estimateurs à rétrécisseur de la moyenne d'une loi normale multidimensionnelle (documents 1 et 2) et plus généralement du paramètre de position d'une loi à symétrie sphérique (document 3). Nous établissons des conditions suffisantes de domination uniforme de l'estimateur des moindres carrés relativement à un coût quadratique quelconque (documents 1 et 2) et, plus généralement, relativement à une classe de lois à symétrie sphérique et une famille de coûts quadratiques associée à cette classe (document 3)
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21

Eren, Emrah. "Effect Of Estimation In Goodness-of-fit Tests." Master's thesis, METU, 2009. http://etd.lib.metu.edu.tr/upload/2/12611046/index.pdf.

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In statistical analysis, distributional assumptions are needed to apply parametric procedures. Assumptions about underlying distribution should be true for accurate statistical inferences. Goodness-of-fit tests are used for checking the validity of the distributional assumptions. To apply some of the goodness-of-fit tests, the unknown population parameters are estimated. The null distributions of test statistics become complicated or depend on the unknown parameters if population parameters are replaced by their estimators. This will restrict the use of the test. Goodness-of-fit statistics whi
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22

Markström, Ingemar. "Comparing normal estimation methods for the rendering of unorganized point clouds." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-261598.

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Surface normals are fundamental in computer graphics applications such as computer vision, object recognition, and lighting calculations. When working with unorganized point clouds of surfaces, there exists a need for fast and accurate normal estimation methods. This thesis presents the investigation and implementation of two different methods of normal estimation on fixed-size local neighborhoods in unorganized pointclouds. Two main categories of tests were conducted. The first type was visual inspection and the second consisted of numeric analysis of the normal estimation process and results
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23

Tang, Qi. "Comparison of Different Methods for Estimating Log-normal Means." Digital Commons @ East Tennessee State University, 2014. https://dc.etsu.edu/etd/2338.

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The log-normal distribution is a popular model in many areas, especially in biostatistics and survival analysis where the data tend to be right skewed. In our research, a total of ten different estimators of log-normal means are compared theoretically. Simulations are done using different values of parameters and sample size. As a result of comparison, ``A degree of freedom adjusted" maximum likelihood estimator and Bayesian estimator under quadratic loss are the best when using the mean square error (MSE) as a criterion. The ten estimators are applied to a real dataset, an environmental study
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Akhter, A. S. "Estimating the parameters of the truncated normal distribution." Thesis, University of Essex, 1987. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.378366.

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Malsiner-Walli, Gertraud, Sylvia Frühwirth-Schnatter, and Bettina Grün. "Identifying mixtures of mixtures using Bayesian estimation." Taylor & Francis, 2017. http://dx.doi.org/10.1080/10618600.2016.1200472.

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The use of a finite mixture of normal distributions in model-based clustering allows to capture non-Gaussian data clusters. However, identifying the clusters from the normal components is challenging and in general either achieved by imposing constraints on the model or by using post-processing procedures. Within the Bayesian framework we propose a different approach based on sparse finite mixtures to achieve identifiability. We specify a hierarchical prior where the hyperparameters are carefully selected such that they are reflective of the cluster structure aimed at. In addition, this
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26

Sadeghkhani, Abdolnasser. "Estimation d'une densité prédictive avec information additionnelle." Thèse, Université de Sherbrooke, 2017. http://hdl.handle.net/11143/11238.

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Dans le contexte de la théorie bayésienne et de théorie de la décision, l'estimation d'une densité prédictive d'une variable aléatoire occupe une place importante. Typiquement, dans un cadre paramétrique, il y a présence d’information additionnelle pouvant être interprétée sous forme d’une contrainte. Cette thèse porte sur des stratégies et des améliorations, tenant compte de l’information additionnelle, pour obtenir des densités prédictives efficaces et parfois plus performantes que d’autres données dans la littérature. Les résultats s’appliquent pour des modèles avec données gaussie
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27

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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Fahey, Sean O'Flaherty. "Parameter Estimation of Structural Systems Possessing One or Two Nonlinear Normal Modes." Diss., Virginia Tech, 2000. http://hdl.handle.net/10919/29477.

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In this Dissertation, we develop, and provide proof of principle for, parameter identification techniques for structural systems that can be described in terms of one or two nonlinear normal modes. We model the dynamics of these modes by second-order ordinary-differential equations based on the principles of mechanics, past experience, and engineering judgment. We perform a number of separate experiments on a two-mass structure using several different types of excitation. For the linear tests, the theoretical system response is known in closed-form. For the nonlinear test, we use the metho
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Bosman, Riëtte. "Threshold estimation in normal and impaired ears using Auditory Steady State Responses." Pretoria : [s.n.], 2003. http://upetd.up.ac.za/thesis/available/etd-10282004-080444.

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Wang, Sheng. "Regularized skewness parameter estimation for multivariate skew normal and skew t distributions." Diss., University of Iowa, 2019. https://ir.uiowa.edu/etd/6875.

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The skewed normal (SN) distribution introduced by Azzalini has opened a new era for analyzing skewed data. The idea behind it is that it incorporates a new parameter regulating shape and skewness on the symmetric Gaussian distribution. This idea was soon extended to other symmetric distributions such as the Student's t distribution, resulting in the invention of the skew t (ST) distribution. The multivariate versions of the two distributions, i.e. the multivariate skew normal (MSN) and multivariate skew t (MST) distributions, have received considerable attention because of their ability to t s
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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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Castillo, Madeleine Rocio Medrano. "Estimador de estado e parâmetros de linha de transmissão, baseado nas equações normais." Universidade de São Paulo, 2006. http://www.teses.usp.br/teses/disponiveis/18/18133/tde-12122006-144603/.

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O processo de estimação de estado em sistemas elétricos de potência está sujeito a três tipos de erros: erros nas medidas analógicas (erros grosseiros); erros devido a informações erradas quanto aos estados de chaves e/ou disjuntores (erros topológicos) e erros causados por informações erradas de algum parâmetro do sistema (erros de parâmetros). É drástico o efeito de erros de parâmetros, para o processo de estimação de estado, normalmente intolerável, sendo, entretanto, menos evidente que os erros grosseiros e topológicos. Aproveitando o fato de que certas medidas não sofrem mudanças signific
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Kelly, John Kip. "Estimation of Behavioral Thresholds in Normal Hearing Listeners Using Auditory Steady State Responses." The Ohio State University, 2009. http://rave.ohiolink.edu/etdc/view?acc_num=osu1237559225.

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Holmqvist, Niclas. "HANDHELD LIDAR ODOMETRY ESTIMATION AND MAPPING SYSTEM." Thesis, Mälardalens högskola, Inbyggda system, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:mdh:diva-41137.

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Ego-motion sensors are commonly used for pose estimation in Simultaneous Localization And Mapping (SLAM) algorithms. Inertial Measurement Units (IMUs) are popular sensors but suffer from integration drift over longer time scales. To remedy the drift they are often used in combination with additional sensors, such as a LiDAR. Pose estimation is used when scans, produced by these additional sensors, are being matched. The matching of scans can be computationally heavy as one scan can contain millions of data points. Methods exist to simplify the problem of finding the relative pose between senso
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Segerfors, Ted. "Spurious Heavy Tails." Thesis, KTH, Matematisk statistik, 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-168199.

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Since the financial crisis which started in 2007, the risk awareness in the financial sector is greater than ever. Financial institutions such as banks and insurance companies are heavily regulated in order to create a harmonic and resilient global economic environment. Sufficiently large capital buffers may protect institutions from bankruptcy due to some adverse financial events leading to an undesirable outcome for the company. In many regulatory frameworks, the institutions are obliged to estimate high quantiles of their loss distributions. This is relatively unproblematic when large sampl
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Kelly, J. Kip. "Estimation of behavioral hearing thresholds in normal hearing listeners using auditory steady state responses." Columbus, Ohio : Ohio State University, 2009. http://rave.ohiolink.edu/etdc/view?acc%5Fnum=osu1237559225.

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Rivasseau-Jonveaux, Marie-Thérèse. "Appropriation de la temporalité au cours du vieillissement normal et pathologique." Thesis, Nancy 2, 2010. http://www.theses.fr/2010NAN21024/document.

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Pour approcher les altérations de la temporalité dans la maladie d'Alzheimer, nous étudions une population de référence et 22 patients en phase légère à modérément sévère, avec une échelle sémantique de temporalité et une tâche d'estimation de durée d'actions de la vie quotidienne clinique et pour concevoir un paradigme d'exploration en IRMf. Une analyse des questions- réponses d'entretiens à propos du récit d'une journée, a été effectuée chez 6 de ces patients avec un suivi évolutif. Les résultats en sémantique de la temporalité sont influencés par âge et niveau culturel, indépendants du genr
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Anastasiou, Andreas. "Bounds for the normal approximation of the maximum likelihood estimator." Thesis, University of Oxford, 2016. https://ora.ox.ac.uk/objects/uuid:c078fc46-7ed7-4e02-9a68-4608acba4bd2.

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The asymptotic normality of the maximum likelihood estimator (MLE) under regularity conditions is a long established and famous result. This is a qualitative result and the assessment of such a normal approximation is our main interest. For this task we partly use Stein's method, which is a probabilistic technique that can be used to explicitly measure the distributional distance between two distributions. Since its first appearance in 1972, the method has been developed for various distributions; here we use the results related to Stein's method for normal approximation. In this thesis, we de
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Maniparambil-Eapen, Abraham. "The Impact of Non-Reading Language Performance on the Estimation of Premorbid IQ among Normal Elderly Individuals." Wright State University Professional Psychology Program / OhioLINK, 2012. http://rave.ohiolink.edu/etdc/view?acc_num=wsupsych1309450983.

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Uchiyama, Hiroyuki, Tomokazu Takahashi, Ichiro Ide, and Hiroshi Murase. "Frame Registration of In-vehicle Normal Camera with Omni-directional Camera for Self-position Estimation." IEEE, 2008. http://hdl.handle.net/2237/12052.

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Tazhibi, Mehdi. "Estimation of the parameters in the truncated normal distribution when the truncation point is known." Thesis, University of Southampton, 1996. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.242267.

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42

Dhasarathy, Deepak. "Estimation of vertical load on a tire from contact patch length and its use in vehicle stability control." Thesis, Virginia Tech, 2010. http://hdl.handle.net/10919/33559.

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The vertical load on a moving tire was estimated by using accelerometers attached to the inner liner of a tire. The acceleration signal was processed to obtain the contact patch length created by the tire on the road surface. Then an appropriate equation relating the patch length to the vertical load is used to calculate the load. In order to obtain the needed data, tests were performed on a flat-track test machine at the Goodyear Innovation Center in Akron, Ohio; tests were also conducted on the road using a trailer setup at the Intelligent Transportation Laboratory in Danville, Virginia. Dur
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43

MONTEIRO, Michelle Aparecida Corrêa. "Distribuição normal de Kumaraswamy bivariada." Universidade Federal de Alfenas, 2015. https://bdtd.unifal-mg.edu.br:8443/handle/tede/833.

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A distribuição normal é a mais importante distribuição de probabilidade, usada na modelagem de dados contínuos. Entretanto, há casos em que a suposição da distribuição relacionada ao modelo normal é violada e a busca por outras distribuições que modelem esses casos se faz necessário. Um dos pontos que pode justificar a ausência de normalidade é a falta de simetria. Uma distribuição que tem como principal característica modelar dados de comportamento assimétrico é a Kumaraswamy. A junção da flexibilidade de modelar dados assimétricos da distribuição de Kumaraswamy com distribuições conhec
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44

Rodriguez, Joan Neylo da Cruz. "Estimação em modelos funcionais com erro normais e repetições não balanceadas." Universidade de São Paulo, 2008. http://www.teses.usp.br/teses/disponiveis/45/45133/tde-19022013-171605/.

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Esta dissertação compreende um estudo da eficiência de estimadores dos parâmetros no modelo funcional com erro nas variáveis, com repetições para contornar o problema de falta de identificação. Nela, discute-se os procedimentos baseados nos métodos de máxima verossimilhança e escore corrigido. As estimativas obtidas pelos dois métodos levam a resultados similares.<br>This work is concerned with a study on the efficiency of parameter estimates in the functional linear relashionship with constant variances. Where the lack of identification is resolved of by considering replications. Estimation i
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Sharpnack, James. "Graph Structured Normal Means Inference." Research Showcase @ CMU, 2013. http://repository.cmu.edu/dissertations/246.

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This thesis addresses statistical estimation and testing of signals over a graph when measurements are noisy and high-dimensional. Graph structured patterns appear in applications as diverse as sensor networks, virology in human networks, congestion in internet routers, and advertising in social networks. We will develop asymptotic guarantees of the performance of statistical estimators and tests, by stating conditions for consistency by properties of the graph (e.g. graph spectra). The goal of this thesis is to demonstrate theoretically that by exploiting the graph structure one can achieve s
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Perbal-Hatif, Séverine. "Estimation du temps, vitesse de traitement de l'information et mémoire : approche neuropsychologique." Paris 6, 2002. http://www.theses.fr/2002PA066291.

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Reinhammar, Ragna. "Estimation of Regression Coefficients under a Truncated Covariate with Missing Values." Thesis, Uppsala universitet, Statistiska institutionen, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-385672.

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By means of a Monte Carlo study, this paper investigates the relative performance of Listwise Deletion, the EM-algorithm and the default algorithm in the MICE-package for R (PMM) in estimating regression coefficients under a left truncated covariate with missing values. The intention is to investigate whether the three frequently used missing data techniques are robust against left truncation when missing values are MCAR or MAR. The results suggest that no technique is superior overall in all combinations of factors studied. The EM-algorithm is unaffected by left truncation under MCAR but nega
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Hattaway, James T. "Parameter Estimation and Hypothesis Testing for the Truncated Normal Distribution with Applications to Introductory Statistics Grades." Diss., CLICK HERE for online access, 2010. http://contentdm.lib.byu.edu/ETD/image/etd3412.pdf.

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Praxedes, Kelvin da Cruz. "Estudo de modelos de banda larga para estimativa da irradia??o direta normal." PROGRAMA DE P?S-GRADUA??O EM ENGENHARIA MEC?NICA, 2017. https://repositorio.ufrn.br/jspui/handle/123456789/24419.

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Submitted by Automa??o e Estat?stica (sst@bczm.ufrn.br) on 2017-12-01T23:35:59Z No. of bitstreams: 1 KelvinDaCruzPraxedes_DISSERT.pdf: 2131591 bytes, checksum: 6d84d97152440ede44c629fc9e61855d (MD5)<br>Approved for entry into archive by Arlan Eloi Leite Silva (eloihistoriador@yahoo.com.br) on 2017-12-05T23:21:49Z (GMT) No. of bitstreams: 1 KelvinDaCruzPraxedes_DISSERT.pdf: 2131591 bytes, checksum: 6d84d97152440ede44c629fc9e61855d (MD5)<br>Made available in DSpace on 2017-12-05T23:21:49Z (GMT). No. of bitstreams: 1 KelvinDaCruzPraxedes_DISSERT.pdf: 2131591 bytes, checksum: 6d84d97152440ede4
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Karlsson, Emil. "Explicit Estimators for a Banded Covariance Matrix in a Multivariate Normal Distribution." Thesis, Linköpings universitet, Matematisk statistik, 2014. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-107194.

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The problem of estimating mean and covariances of a multivariate normal distributedrandom vector has been studied in many forms. This thesis focuses on the estimatorsproposed in [15] for a banded covariance structure with m-dependence. It presents theprevious results of the estimator and rewrites the estimator when m = 1, thus makingit easier to analyze. This leads to an adjustment, and a proposition for an unbiasedestimator can be presented. A new and easier proof of consistency is then presented.This theory is later generalized into a general linear model where the correspondingtheorems and
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