Acceder

Bibliografías temáticas / Hierarchical variables / Tesis

Siga este enlace para ver otros tipos de publicaciones sobre el tema: Hierarchical variables.

Tesis sobre el tema "Hierarchical variables"

Autor: Grafiati

Publicado: 7 de julio de 2024

Última modificación: 31 de julio de 2025

Crea una cita precisa en los estilos APA, MLA, Chicago, Harvard y otros

Elija tipo de fuente:

Consulte los 41 mejores tesis para su investigación sobre el tema "Hierarchical variables".

Junto a cada fuente en la lista de referencias hay un botón "Agregar a la bibliografía". Pulsa este botón, y generaremos automáticamente la referencia bibliográfica para la obra elegida en el estilo de cita que necesites: APA, MLA, Harvard, Vancouver, Chicago, etc.

También puede descargar el texto completo de la publicación académica en formato pdf y leer en línea su resumen siempre que esté disponible en los metadatos.

Explore tesis sobre una amplia variedad de disciplinas y organice su bibliografía correctamente.

1

Auyang, Arick Gin-Yu. "Robustness and hierarchical control of performance variables through coordination during human locomotion." Diss., Georgia Institute of Technology, 2010. http://hdl.handle.net/1853/42837.

Texto completo

Resumen

The kinematic motor redundancy of the human legs provides more local degrees of freedom than are necessary to achieve low degree of freedom performance variables like leg length and orientation. The purpose of this dissertation is to investigate how the neuromuscular skeletal system simplifies control of a kinematically redundant system to achieve stable locomotion under different conditions. I propose that the neuromuscular skeletal system minimizes step to step variance of leg length and orientation while allowing segment angles to vary within the set of acceptable combinations of angles tha

Los estilos APA, Harvard, Vancouver, ISO, etc.

2

RIGGI, DANIELE. "Mixture factor model for hierarchical data structure and applications to the italian educational school system." Doctoral thesis, Università degli Studi di Milano-Bicocca, 2011. http://hdl.handle.net/10281/19465.

Texto completo

Resumen

Nowadays, the educational context is one of the most important and interesting applicative field of social science. The object of interest is often the relation between student ability and motivation. In the context of social science the multilevel structure and the latent variable models are often encountered. In this work, we present an extension of the multilevel mixture factor models (MMFM) (Riggi & Vermunt, in press, 2011 ; Varriale & Vermunt, in press, 2009), with an application to the Italian school system. These models are a combination of Factor Analysis and Latent Class. The purpose

Los estilos APA, Harvard, Vancouver, ISO, etc.

3

Chastaing, Gaëlle. "Indices de Sobol généralisés par variables dépendantes." Thesis, Grenoble, 2013. http://www.theses.fr/2013GRENM046.

Texto completo

Resumen

Dans un modèle qui peut s'avérer complexe et fortement non linéaire, les paramètres d'entrée, parfois en très grand nombre, peuvent être à l'origine d'une importante variabilité de la sortie. L'analyse de sensibilité globale est une approche stochastique permettant de repérer les principales sources d'incertitude du modèle, c'est-à-dire d'identifier et de hiérarchiser les variables d'entrée les plus influentes. De cette manière, il est possible de réduire la dimension d'un problème, et de diminuer l'incertitude des entrées. Les indices de Sobol, dont la construction repose sur une décompositio

Los estilos APA, Harvard, Vancouver, ISO, etc.

4

Pfister, Mark. "Distribution of a Sum of Random Variables when the Sample Size is a Poisson Distribution." Digital Commons @ East Tennessee State University, 2018. https://dc.etsu.edu/etd/3459.

Texto completo

Resumen

A probability distribution is a statistical function that describes the probability of possible outcomes in an experiment or occurrence. There are many different probability distributions that give the probability of an event happening, given some sample size n. An important question in statistics is to determine the distribution of the sum of independent random variables when the sample size n is fixed. For example, it is known that the sum of n independent Bernoulli random variables with success probability p is a Binomial distribution with parameters n and p: However, this is not true when

Los estilos APA, Harvard, Vancouver, ISO, etc.

5

Hay, John Leslie. "Statistical modelling for non-Gaussian time series data with explanatory variables." Thesis, Queensland University of Technology, 1999.

Buscar texto completo

Los estilos APA, Harvard, Vancouver, ISO, etc.

6

Gebremeskel, Haftu Gebrehiwot. "Implementing hierarchical bayesian model to fertility data: the case of Ethiopia." Doctoral thesis, Università degli studi di Padova, 2016. http://hdl.handle.net/11577/3424458.

Texto completo

Resumen

Background: Ethiopia is a country with 9 ethnically-based administrative regions and 2 city administrations, often cited, among other things, with high fertility rates and rapid population growth rate. Despite the country’s effort in their reduction, they still remain high, especially at regional-level. To this end, the study of fertility in Ethiopia, particularly on its regions, where fertility variation and its repercussion are at boiling point, is paramount important. An easy way of finding different characteristics of a fertility distribution is to build a suitable model of fertility patte

Los estilos APA, Harvard, Vancouver, ISO, etc.

7

Gardiner, Robert B. "The relationship between teacher qualifications and chemistry achievement in the context of other student and teacher/school variables : application of hierarchical linear modelling /." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1998. http://www.collectionscanada.ca/obj/s4/f2/dsk1/tape11/PQDD_0003/MQ42384.pdf.

Texto completo

Los estilos APA, Harvard, Vancouver, ISO, etc.

8

Han, Gang. "Modeling the output from computer experiments having quantitative and qualitative input variables and its applications." Columbus, Ohio : Ohio State University, 2008. http://rave.ohiolink.edu/etdc/view?acc%5Fnum=osu1228326460.

Texto completo

Los estilos APA, Harvard, Vancouver, ISO, etc.

9

Saves, Paul. "High dimensional multidisciplinary design optimization for eco-design aircraft." Electronic Thesis or Diss., Toulouse, ISAE, 2024. http://www.theses.fr/2024ESAE0002.

Texto completo

Resumen

De nos jours, un intérêt significatif et croissant pour améliorer les processus de conception de véhicules s'observe dans le domaine de l'optimisation multidisciplinaire grâce au développement de nouveaux outils et de nouvelles techniques. Concrètement, en conception aérostructure, les variables aérodynamiques et structurelles s'influencent mutuellement et ont un effet conjoint sur des quantités d'intérêt telles que le poids ou la consommation de carburant. L'optimisation multidisciplinaire se présente alors comme un outil puissant pouvant effectuer des compromis interdisciplinaires.Dans le ca

Los estilos APA, Harvard, Vancouver, ISO, etc.

10

Guin, Ophélie. "Méthodes bayésiennes semi-paramétriques d'extraction et de sélection de variables dans le cadre de la dendroclimatologie." Phd thesis, Université Paris Sud - Paris XI, 2011. http://tel.archives-ouvertes.fr/tel-00636704.

Texto completo

Resumen

Selon le Groupe Intergouvernemental d'experts sur l'Évolution du Climat (GIEC), il est important de connaitre le climat passé afin de replacer le changement climatique actuel dans son contexte. Ainsi, de nombreux chercheurs ont travaillé à l'établissement de procédures permettant de reconstituer les températures ou les précipitations passées à l'aide d'indicateurs climatiques indirects. Ces procédures sont généralement basées sur des méthodes statistiques mais l'estimation des incertitudes associées à ces reconstructions reste une difficulté majeure. L'objectif principal de cette thèse est don

Los estilos APA, Harvard, Vancouver, ISO, etc.

11

Rockwood, Nicholas John. "Estimating Multilevel Structural Equation Models with Random Slopes for Latent Covariates." The Ohio State University, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=osu1554478681581538.

Texto completo

Los estilos APA, Harvard, Vancouver, ISO, etc.

12

Julião, Heloise Pavanato. "Abundância e distribuiçãoda baleia jubarte (Megaptera novaeangliae) na costa do Brasil." reponame:Repositório Institucional da FURG, 2013. http://repositorio.furg.br/handle/1/4023.

Texto completo

Resumen

Dissertação(mestrado) - Universidade Federal do Rio Grande, Programa de Pós–Graduação em Oceanografia Biológica, Instituto de Oceanografia, 2013.<br>Submitted by Cristiane Gomides (cristiane_gomides@hotmail.com) on 2013-10-09T18:43:46Z No. of bitstreams: 1 Heloise.pdf: 1525937 bytes, checksum: 44441e69ced9544eaba26ec6b8f8e2d9 (MD5)<br>Approved for entry into archive by Sabrina Andrade (sabrinabeatriz@ibest.com.br) on 2013-10-17T03:12:06Z (GMT) No. of bitstreams: 1 Heloise.pdf: 1525937 bytes, checksum: 44441e69ced9544eaba26ec6b8f8e2d9 (MD5)<br>Made available in DSpace on 2013-10-17T03:12:06Z (G

Los estilos APA, Harvard, Vancouver, ISO, etc.

13

Frühwirth-Schnatter, Sylvia, and Regina Tüchler. "Bayesian parsimonious covariance estimation for hierarchical linear mixed models." Institut für Statistik und Mathematik, WU Vienna University of Economics and Business, 2004. http://epub.wu.ac.at/774/1/document.pdf.

Texto completo

Resumen

We considered a non-centered parameterization of the standard random-effects model, which is based on the Cholesky decomposition of the variance-covariance matrix. The regression type structure of the non-centered parameterization allows to choose a simple, conditionally conjugate normal prior on the Cholesky factor. Based on the non-centered parameterization, we search for a parsimonious variance-covariance matrix by identifying the non-zero elements of the Cholesky factors using Bayesian variable selection methods. With this method we are able to learn from the data for each effect, whether

Los estilos APA, Harvard, Vancouver, ISO, etc.

14

Chao, Yi. "Bayesian Hierarchical Latent Model for Gene Set Analysis." Thesis, Virginia Tech, 2009. http://hdl.handle.net/10919/32060.

Texto completo

Resumen

Pathway is a set of genes which are predefined and serve a particular celluar or physiological function. Ranking pathways relevant to a particular phenotype can help researchers focus on a few sets of genes in pathways. In this thesis, a Bayesian hierarchical latent model was proposed using generalized linear random effects model. The advantage of the approach was that it can easily incorporate prior knowledges when the sample size was small and the number of genes was large. For the covariance matrix of a set of random variables, two Gaussian random processes were considered to construct the

Los estilos APA, Harvard, Vancouver, ISO, etc.

15

Robbins, Donald H. "Hierarchical modeling of laminated composite plates using variable kinematic finite elements and mesh superposition." Diss., Virginia Tech, 1993. http://hdl.handle.net/10919/40117.

Texto completo

Los estilos APA, Harvard, Vancouver, ISO, etc.

16

Stone, Elizabeth Anne. "Multilevel Model Selection: A Regularization Approach Incorporating Heredity Constraints." Diss., Temple University Libraries, 2013. http://cdm16002.contentdm.oclc.org/cdm/ref/collection/p245801coll10/id/234414.

Texto completo

Resumen

Statistics<br>Ph.D.<br>This dissertation focuses on estimation and selection methods for a simple linear model with two levels of variation. This model provides a foundation for extensions to more levels. We propose new regularization criteria for model selection, subset selection, and variable selection in this context. Regularization is a penalized-estimation approach that shrinks the estimate and selects variables for structured data. This dissertation introduces a procedure (HM-ALASSO) that extends regularized multilevel-model estimation and selection to enforce principles of fixed heredit

Los estilos APA, Harvard, Vancouver, ISO, etc.

17

Jiang, Bo. "Partition Models for Variable Selection and Interaction Detection." Thesis, Harvard University, 2013. http://dissertations.umi.com/gsas.harvard:10911.

Texto completo

Resumen

Variable selection methods play important roles in modeling high-dimensional data and are key to data-driven scientific discoveries. In this thesis, we consider the problem of variable selection with interaction detection. Instead of building a predictive model of the response given combinations of predictors, we start by modeling the conditional distribution of predictors given partitions based on responses. We use this inverse modeling perspective as motivation to propose a stepwise procedure for effectively detecting interaction with few assumptions on parametric form. The proposed procedur

Los estilos APA, Harvard, Vancouver, ISO, etc.

18

Šulc, Zdeněk. "Similarity Measures for Nominal Data in Hierarchical Clustering." Doctoral thesis, Vysoká škola ekonomická v Praze, 2013. http://www.nusl.cz/ntk/nusl-261939.

Texto completo

Resumen

This dissertation thesis deals with similarity measures for nominal data in hierarchical clustering, which can cope with variables with more than two categories, and which aspire to replace the simple matching approach standardly used in this area. These similarity measures take into account additional characteristics of a dataset, such as frequency distribution of categories or number of categories of a given variable. The thesis recognizes three main aims. The first one is an examination and clustering performance evaluation of selected similarity measures for nominal data in hierarchical cl

Los estilos APA, Harvard, Vancouver, ISO, etc.

19

Pirathiban, Ramethaa. "Improving species distribution modelling: Selecting absences and eliciting variable usefulness for input into standard algorithms or a Bayesian hierarchical meta-factor model." Thesis, Queensland University of Technology, 2019. https://eprints.qut.edu.au/134401/1/Ramethaa_Pirathiban_Thesis.pdf.

Texto completo

Resumen

This thesis explores and proposes methods to improve species distribution models. Throughout this thesis, a rich class of statistical modelling techniques has been developed to address crucial and interesting issues related to the data input into these models. The overall contribution of this research is the advancement of knowledge on species distribution modelling through an increased understanding of extraneous zeros, quality of the ecological data, variable selection that incorporates ecological theory and evaluating performance of the fitted models. Though motivated by the challenge of sp

Los estilos APA, Harvard, Vancouver, ISO, etc.

20

Charalambous, Christiana. "Variable selection in joint modelling of mean and variance for multilevel data." Thesis, University of Manchester, 2011. https://www.research.manchester.ac.uk/portal/en/theses/variable-selection-in-joint-modelling-of-mean-and-variance-for-multilevel-data(cbe5eb08-1e77-4b44-b7df-17bd4bf4937f).html.

Texto completo

Resumen

We propose to extend the use of penalized likelihood based variable selection methods to hierarchical generalized linear models (HGLMs) for jointly modellingboth the mean and variance structures. We are interested in applying these newmethods on multilevel structured data, hence we assume a two-level hierarchical structure, with subjects nested within groups. We consider a generalized linearmixed model (GLMM) for the mean, with a structured dispersion in the formof a generalized linear model (GLM). In the first instance, we model the varianceof the random effects which are present in the mean

Los estilos APA, Harvard, Vancouver, ISO, etc.

21

Raeli, Alice. "Solution of the variable coefficients Poisson equation on Cartesian hierarchical meshes in parallel : applications to phase changing materials." Thesis, Bordeaux, 2017. http://www.theses.fr/2017BORD0669/document.

Texto completo

Resumen

On s'interesse aux problèmes elliptiques avec coéficients variables à travers des interfaces intérieures. La solution et ses dérivées normales peuvent subir des variations significatives à travers les frontières intérieures. On présente une méthode compacte aux différences finies sur des maillages adaptés de type octree conçues pour une résolution en parallèle. L'idée principale est de minimiser l'erreur de troncature sur la discretisation locale, en fonction de la configuration du maillage, en rapprochant une convergence à l'ordre deux. On montrera des cas 2D et 3D des résultat liés à des app

Los estilos APA, Harvard, Vancouver, ISO, etc.

22

Kwon, Hyukje. "A Monte Carlo Study of Missing Data Treatments for an Incomplete Level-2 Variable in Hierarchical Linear Models." The Ohio State University, 2011. http://rave.ohiolink.edu/etdc/view?acc_num=osu1303846627.

Texto completo

Los estilos APA, Harvard, Vancouver, ISO, etc.

23

Huo, Shuning. "Bayesian Modeling of Complex High-Dimensional Data." Diss., Virginia Tech, 2020. http://hdl.handle.net/10919/101037.

Texto completo

Resumen

With the rapid development of modern high-throughput technologies, scientists can now collect high-dimensional complex data in different forms, such as medical images, genomics measurements. However, acquisition of more data does not automatically lead to better knowledge discovery. One needs efficient and reliable analytical tools to extract useful information from complex datasets. The main objective of this dissertation is to develop innovative Bayesian methodologies to enable effective and efficient knowledge discovery from complex high-dimensional data. It contains two parts—the developme

Los estilos APA, Harvard, Vancouver, ISO, etc.

24

Trahan, Patrick. "Classification of Carpiodes Using Fourier Descriptors: A Content Based Image Retrieval Approach." ScholarWorks@UNO, 2009. http://scholarworks.uno.edu/td/1085.

Texto completo

Resumen

Taxonomic classification has always been important to the study of any biological system. Many biological species will go unclassified and become lost forever at the current rate of classification. The current state of computer technology makes image storage and retrieval possible on a global level. As a result, computer-aided taxonomy is now possible. Content based image retrieval techniques utilize visual features of the image for classification. By utilizing image content and computer technology, the gap between taxonomic classification and species destruction is shrinking. This content bas

Los estilos APA, Harvard, Vancouver, ISO, etc.

25

Huang, Huei-Ching, and 黃慧青. "Latent Class Model with Two Hierarchical Latent Variables." Thesis, 2005. http://ndltd.ncl.edu.tw/handle/12163370355322189586.

Texto completo

Los estilos APA, Harvard, Vancouver, ISO, etc.

26

"Bayesian analysis of generalized latent variable models with hierarchical data." Thesis, 2009. http://library.cuhk.edu.hk/record=b6075429.

Texto completo

Resumen

Pan, Junhao.<br>Thesis (Ph.D.)--Chinese University of Hong Kong, 2009.<br>Includes bibliographical references (leaves 121-135).<br>Electronic reproduction. Hong Kong : Chinese University of Hong Kong, [2012] System requirements: Adobe Acrobat Reader. Available via World Wide Web.<br>Abstract also in Chinese.

Los estilos APA, Harvard, Vancouver, ISO, etc.

27

BIONDI, LUIGI. "Identifiability of Discrete Hierarchical Models with One Latent Variable." Doctoral thesis, 2016. http://hdl.handle.net/2158/1028810.

Texto completo

Resumen

In the thesis we discuss in depth the problem of identifiability for discrete models, showing many concrete situations in which it may fail. After this survey we concentrate on hierarchical log-linear models for binary variables with one hidden variable. These are more general of the LC models because may include some higher-order interactions. These models may sometimes be interpreted as discrete undirected graphical models (called also concentration graph models), but they are more general.

Los estilos APA, Harvard, Vancouver, ISO, etc.

28

"Multiple Imputation for Two-Level Hierarchical Models with Categorical Variables and Missing at Random Data." Doctoral diss., 2016. http://hdl.handle.net/2286/R.I.40705.

Texto completo

Resumen

abstract: Accurate data analysis and interpretation of results may be influenced by many potential factors. The factors of interest in the current work are the chosen analysis model(s), the presence of missing data, and the type(s) of data collected. If analysis models are used which a) do not accurately capture the structure of relationships in the data such as clustered/hierarchical data, b) do not allow or control for missing values present in the data, or c) do not accurately compensate for different data types such as categorical data, then the assumptions associated with the model have n

Los estilos APA, Harvard, Vancouver, ISO, etc.

29

"Type I and type II error in hierarchical analysis of variance using logistic regression for dichotomous dependent variables." Tulane University, 1992.

Buscar texto completo

Resumen

Hierarchical models seek to explain relations between individual level and aggregate level data. A new method of analysis for hierarchical data in which the outcome variable is dichotomous has been developed (Pullum, 1991). This method partitions the variance into a within-cluster component and a between-cluster component, and then uses logistic regression models to explain the variance in the two components in a unified equation The question arises as to how the number of contexts and the number of individuals within those contexts affect the power of Pullum's model when there are different d

Los estilos APA, Harvard, Vancouver, ISO, etc.

30

Yurecko, Michele. "Investigating the relationship between reading achievement, and state-level ecological variables and educational reform a hierarchical analysis of item difficulty variation /." 2009. http://hdl.rutgers.edu/1782.2/rucore10001600001.ETD.000051083.

Texto completo

Los estilos APA, Harvard, Vancouver, ISO, etc.

31

Lemyre, Gabriel. "Modèles de Markov à variables latentes : matrice de transition non-homogène et reformulation hiérarchique." Thesis, 2021. http://hdl.handle.net/1866/25476.

Texto completo

Resumen

Ce mémoire s’intéresse aux modèles de Markov à variables latentes, une famille de modèles dans laquelle une chaîne de Markov latente régit le comportement d’un processus stochastique observable à travers duquel transparaît une version bruitée de la chaîne cachée. Pouvant être vus comme une généralisation naturelle des modèles de mélange, ces processus stochastiques bivariés ont entre autres démontré leur faculté à capter les dynamiques variables de maintes séries chronologiques et, plus spécifiquement en finance, à reproduire la plupart des faits stylisés des rendements financiers. Nous nous i

Los estilos APA, Harvard, Vancouver, ISO, etc.

32

CASSESE, ALBERTO. "A Hierarchical Bayesian Modeling Approach To Genetical Genomics." Doctoral thesis, 2013. http://hdl.handle.net/2158/794601.

Texto completo

Resumen

The proposed method re ects my continuing interest in the development of novel Bayesian methodologies for the analysis of data that arise in genomics. Novel methodological questions are now being generated in Bioinformatics and require the integration of dierent concepts, methods, tools and data types. The proposed modeling approach is general and can be readily applied to high-throughput data of dierent types, and to data from dierent cancers and diseases. A single mutation is not enough to trigger cancer, as this is the result of a number of complex biological events. Thus, discovering ampli

Los estilos APA, Harvard, Vancouver, ISO, etc.

33

Lin, Lin. "Bayesian Variable Selection in Clustering and Hierarchical Mixture Modeling." Diss., 2012. http://hdl.handle.net/10161/5846.

Texto completo

Resumen

<p>Clustering methods are designed to separate heterogeneous data into groups of similar objects such that objects within a group are similar, and objects in different groups are dissimilar. From the machine learning perspective, clustering can also be viewed as one of the most important topics within the unsupervised learning problem, which involves finding structures in a collection of unlabeled data. Various clustering methods have been developed under different problem contexts. Specifically, high dimensional data has stimulated a high level of interest in combining clustering algorithms a

Los estilos APA, Harvard, Vancouver, ISO, etc.

34

Li, Yingbo. "Bayesian Hierarchical Models for Model Choice." Diss., 2013. http://hdl.handle.net/10161/8063.

Texto completo

Resumen

<p>With the development of modern data collection approaches, researchers may collect hundreds to millions of variables, yet may not need to utilize all explanatory variables available in predictive models. Hence, choosing models that consist of a subset of variables often becomes a crucial step. In linear regression, variable selection not only reduces model complexity, but also prevents over-fitting. From a Bayesian perspective, prior specification of model parameters plays an important role in model selection as well as parameter estimation, and often prevents over-fitting through shrinkage

Los estilos APA, Harvard, Vancouver, ISO, etc.

35

Xin-HanHuang and 黃信翰. "Application of Spatial Bayesian Hierarchical Model with Variable Selection to fMRI data." Thesis, 2015. http://ndltd.ncl.edu.tw/handle/18746413115126691555.

Texto completo

Resumen

碩士<br>國立成功大學<br>統計學系<br>103<br>We propose a spatial Bayesian hierarchical model to analyze functional magnetic resonance imaging data with complex spatial and temporal structures. Several studies have found that the spatial dependence not only appear in signal changes but also in temporal correlations among voxels. However, currently existing statistical approaches ignore the spatial dependence of temporal correlations for the computational efficiency. We consider the spatial random effect models to simultaneously model spatial dependences in both signal changes and temporal correlations, but

Los estilos APA, Harvard, Vancouver, ISO, etc.

36

CAVICCHIA, CARLO. "Hierarchical latent variable models for dimensionality reduction: an application on composite indicators." Doctoral thesis, 2020. http://hdl.handle.net/11573/1363237.

Texto completo

Resumen

This thesis is devoted to the development of new hierarchical latent variable models for Dimensionality Reduction with a specific focus on the construction of Composite Indicators (CIs). Since our society is producing a huge quantity of data, the construction of model-based CIs represents an interesting and still open methodological challenge. This dissertation is motivated by the necessity to provide model-based CIs which are built according to a statistical approach avoiding subjective choices (e.g., normative weights), therefore, the new insights and proposals hope to represent a contributi

Los estilos APA, Harvard, Vancouver, ISO, etc.

37

Minto, Cóilín. "Ecological Inference from Variable Recruitment Data." 2011. http://hdl.handle.net/10222/13881.

Texto completo

Resumen

To understand the processes affecting the abundance of wild populations is a fundamental goal of ecology and a prerequisite for the management of living resources. Variable abundance, however, makes the investigation of ecological processes challenging. Recruitment, the process whereby new individuals enter a given stage of a ?sh population, is a highly variable entity. I have confronted this issue by developing methodologies speci?cally designed to account for, and ecologically interpret, patterns of variability in recruitment. To provide the necessary context, Chapter 2 begins with a review

Los estilos APA, Harvard, Vancouver, ISO, etc.

38

Chen, Ting-Shiang, and 陳庭祥. "Target Human Following Using Neural-Network-Based RFID Localization System with Hierarchical Variable Structure Control." Thesis, 2016. http://ndltd.ncl.edu.tw/handle/azy8r5.

Texto completo

Resumen

碩士<br>國立臺灣科技大學<br>電機工程系<br>104<br>At the beginning, the received signal strength indicators (RSSIs) of the three tags on a triangular pattern are read by two perpendicular antennas. These 6 RSSIs and their corresponding pose and the azimuth angle of target human (TH) with respect to automatic guided vehicle (AGV) are obtained. Since the relations of these pairs of input and output are nonlinear, coupled, and stochastic, it is difficult to obtain an effective model. A 1st-order low-pass filter with unit dc gain is first employed to remove the unnecessary high frequencies of RSSIs. Due to the a

Los estilos APA, Harvard, Vancouver, ISO, etc.

39

Goldstein, Leigh Ann. "Relationships among quality of life, self-care, and affiliated individuation in persons on chronic warfarin therapy." 2013. http://hdl.handle.net/2152/21865.

Texto completo

Resumen

This descriptive, correlational, cross-sectional study explored the relationships among the variables self-care action, self-care knowledge, and affiliated individuation and quality of life for persons on chronic warfarin therapy. This study also explored the moderating effects of self-care knowledge and affiliated individuation on quality of life. This research was guided by a theoretical framework based on modeling and role-modeling theory (Erickson, Tomlin, & Swain, 1983). The sample consisted of 83 adults between the ages of 30 to 91 years. The majority of participants were Caucasian, educ

Los estilos APA, Harvard, Vancouver, ISO, etc.

40

Kaplan, Andrea Jean. "An overview of multilevel regression." Thesis, 2010. http://hdl.handle.net/2152/ETD-UT-2010-12-2462.

Texto completo

Resumen

Due to the inherently hierarchical nature of many natural phenomena, data collected rests in nested entities. As an example, students are nested in schools, school are nested in districts, districts are nested in counties, and counties are nested within states. Multilevel models provide a statistical framework for investigating and drawing conclusions regarding the influence of factors at differing hierarchical levels of analysis. The work in this paper serves as an introduction to multilevel models and their comparison to Ordinary Least Squares (OLS) regression. We overview three basic model

Los estilos APA, Harvard, Vancouver, ISO, etc.

41

Xu, Lizhen. "Bayesian Methods for Genetic Association Studies." Thesis, 2012. http://hdl.handle.net/1807/34972.

Texto completo

Resumen

We develop statistical methods for tackling two important problems in genetic association studies. First, we propose a Bayesian approach to overcome the winner's curse in genetic studies. Second, we consider a Bayesian latent variable model for analyzing longitudinal family data with pleiotropic phenotypes. Winner's curse in genetic association studies refers to the estimation bias of the reported odds ratios (OR) for an associated genetic variant from the initial discovery samples. It is a consequence of the sequential procedure in which the estimated effect of an associated genetic mar

Los estilos APA, Harvard, Vancouver, ISO, etc.

Ofrecemos descuentos en todos los planes premium para autores cuyas obras están incluidas en selecciones literarias temáticas. ¡Contáctenos para obtener un código promocional único!