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Dissertations / Theses on the topic 'Ordinal regression analysis'

Author: Grafiati

Published: 4 June 2021

Last updated: 27 July 2025

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1

Hirk, Rainer, Kurt Hornik, and Laura Vana. "Multivariate Ordinal Regression Models: An Analysis of Corporate Credit Ratings." WU Vienna University of Economics and Business, 2017. http://epub.wu.ac.at/5389/1/Report132_lvana.pdf.

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Correlated ordinal data typically arise from multiple measurements on a collection of subjects. Motivated by an application in credit risk, where multiple credit rating agencies assess the creditworthiness of a firm on an ordinal scale, we consider multivariate ordinal models with a latent variable specification and correlated error terms. Two different link functions are employed, by assuming a multivariate normal and a multivariate logistic distribution for the latent variables underlying the ordinal outcomes. Composite likelihood methods, more specifically the pairwise and tripletwise likel

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2

Hirk, Rainer, Kurt Hornik, and Laura Vana. "Multivariate ordinal regression models: an analysis of corporate credit ratings." Springer Berlin Heidelberg, 2018. http://dx.doi.org/10.1007/s10260-018-00437-7.

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Correlated ordinal data typically arises from multiple measurements on a collection of subjects. Motivated by an application in credit risk, where multiple credit rating agencies assess the creditworthiness of a firm on an ordinal scale, we consider multivariate ordinal regression models with a latent variable specification and correlated error terms. Two different link functions are employed, by assuming a multivariate normal and a multivariate logistic distribution for the latent variables underlying the ordinal outcomes. Composite likelihood methods, more specifically the pairwise and tripl

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3

Batten, Dennis William. "Univariate polytomous ordinal regression analysis with application to diabetic retinopathy data." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 2000. http://www.collectionscanada.ca/obj/s4/f2/dsk2/ftp01/MQ54859.pdf.

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4

Adnan, Arisman. "Analysis of taste-panel data using ANOVA and ordinal logistic regression." Thesis, University of Newcastle Upon Tyne, 2002. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.402150.

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5

Johnson, Edward P. "Applying Bayesian Ordinal Regression to ICAP Maladaptive Behavior Subscales." Diss., CLICK HERE for online access, 2007. http://contentdm.lib.byu.edu/ETD/image/etd2121.pdf.

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6

Corrente, Salvatore. "Hierarchy and interaction of criteria in robust ordinal regression." Doctoral thesis, Università di Catania, 2013. http://hdl.handle.net/10761/1312.

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All decision making problems we deal with along our lives, have a multiple criteria structure, that is several alternatives are evaluated with respect to some points of view, technically called evaluation criteria, and then compared in order to make the ``best'' decision. Multiple Criteria Decision Aiding, proposes methodologies useful to take decisions explicitly considering the preferences of the Decision Maker. In many real world problems, the criteria are not independent but interacting, being possible to observe a certain degree of synergy or redundancy between the evaluation criteria an

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7

Maxwell, Kori Lloyd Hugh. "Logistic Regression Analysis to Determine the Significant Factors Associated with Substance Abuse in School-Aged Children." Digital Archive @ GSU, 2009. http://digitalarchive.gsu.edu/math_theses/67.

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Substance abuse is the overindulgence in and dependence on a drug or chemical leading to detrimental effects on the individual’s health and the welfare of those surrounding him or her. Logistic regression analysis is an important tool used in the analysis of the relationship between various explanatory variables and nominal response variables. The objective of this study is to use this statistical method to determine the factors which are considered to be significant contributors to the use or abuse of substances in school-aged children and also determine what measures can be implemented to mi

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8

Slobodnik, Anton G. "Ordinal Logistic Regression Analysis of RFID Doorway Portal Performance as a Function of System Design Parameters." DigitalCommons@CalPoly, 2010. https://digitalcommons.calpoly.edu/theses/275.

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This research effort examined the read rate differences in a passive ultra high frequency (UHF) Radio Frequency Identification (RFID) doorway portal as a function of antenna placement, doorway size and composition, reader manufacturer, tag type, and tag orientation. In this analysis of a RFID system, the response observations were modeled under an ordinal logistic regression model. The selection of a categorical analysis method was due to the flaws associated with the initial design of the experiment, which resulted in high valued observations which would have skewed the results of a quantitat

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9

Johnson, Gary Brent. "Evaluation and ranking of minor-league hitters using a statistical model." Manhattan, Kan. : Kansas State University, 2006. http://hdl.handle.net/2097/149.

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10

Kristjansson, Elizabeth. "Detecting DIF in polytomous items, an empirical comparison of the ordinal logistic regression, logistic discriminant function analysis, Mantel, and Generalized Mantel-Haenszel procedures." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 2001. http://www.collectionscanada.ca/obj/s4/f2/dsk3/ftp04/NQ66160.pdf.

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11

Cronstedt, Axel, and Rebecca Andersson. "Readjusting Historical Credit Ratings : using Ordered Logistic Regression and Principal ComponentAnalysis." Thesis, Umeå universitet, Institutionen för matematik och matematisk statistik, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-148567.

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Readjusting Historical Credit Ratings using Ordered Logistic Re-gression and Principal Component Analysis The introduction of the Basel II Accord as a regulatory document for creditrisk presented new concepts of credit risk management and credit risk mea-surements, such as enabling international banks to use internal estimates ofprobability of default (PD), exposure at default (EAD) and loss given default(LGD). These three measurements is the foundation of the regulatory capitalcalculations and are all in turn based on the bank’s internal credit ratings. Ithas hence been of increasing importan

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12

Gentry, Amanda E. "Penalized mixed-effects ordinal response models for high-dimensional genomic data in twins and families." VCU Scholars Compass, 2018. https://scholarscompass.vcu.edu/etd/5575.

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The Brisbane Longitudinal Twin Study (BLTS) was being conducted in Australia and was funded by the US National Institute on Drug Abuse (NIDA). Adolescent twins were sampled as a part of this study and surveyed about their substance use as part of the Pathways to Cannabis Use, Abuse and Dependence project. The methods developed in this dissertation were designed for the purpose of analyzing a subset of the Pathways data that includes demographics, cannabis use metrics, personality measures, and imputed genotypes (SNPs) for 493 complete twin pairs (986 subjects.) The primary goal was to determin

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13

Nekooeimehr, Iman. "Oversampling Methods for Imbalanced Dataset Classification and their Application to Gynecological Disorder Diagnosis." Scholar Commons, 2016. http://scholarcommons.usf.edu/etd/6335.

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In many applications, the dataset for classification may be highly imbalanced where most of the instances in the training set may belong to some of the classes (majority classes), while only a few instances are from the other classes (minority classes). Conventional classifiers will strongly favor the majority class and ignore the minority instances. The imbalance problem can occur in both binary data classification and also in ordinal regression. Ordinal regression is a supervised approach for learning the ordinal relationship between classes. Extensive research has been performed for address

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14

Moulin, Serge. "Use of data analysis techniques to solve specific bioinformatics problems." Thesis, Bourgogne Franche-Comté, 2018. http://www.theses.fr/2018UBFCD049/document.

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De nos jours, la quantité de données génétiques séquencées augmente de manière exponentielle sous l'impulsion d'outils de séquençage de plus en plus performants, tels que les outils de séquençage haut débit en particulier. De plus, ces données sont de plus en plus facilement accessibles grâce aux bases de données en ligne. Cette plus grande disponibilité des données ouvre de nouveaux sujets d'étude qui nécessitent de la part des statisticiens et bio-informaticiens de développer des outils adaptés. Par ailleurs, les progrès constants de la statistique, dans des domaines tels que le clustering,

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15

Mignot, Victor, and Andreas Palmqvist. "Det sociala nätverkets betydelse för individers psykiska hälsa : En studie om sociala nätverk i förhållande till psykiskhälsa och digitala verktygens vikt för äldres sociala inkludering." Thesis, Linnéuniversitetet, Institutionen för samhällsstudier (SS), 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-100723.

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This study investigates the social networks impact on mental health. Further, it examines the role of digital tools in regard to loneliness among elderly people. Several studies have investigated similar questions before, but further knowledge can be added with this study on the Swedish population. The aim of the study is to enhance the knowledge on whether social networks have an impact on individual’s mental health. The theoretical framework consists of Granovetter’s strenght-of-weak-ties and Putnam’s definition of social capital. A quantitative approach is used, and secondary analysis is ma

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16

Ryu, Duchwan. "Regression analysis with longitudinal measurements." Texas A&M University, 2005. http://hdl.handle.net/1969.1/2398.

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Bayesian approaches to the regression analysis for longitudinal measurements are considered. The history of measurements from a subject may convey characteristics of the subject. Hence, in a regression analysis with longitudinal measurements, the characteristics of each subject can be served as covariates, in addition to possible other covariates. Also, the longitudinal measurements may lead to complicated covariance structures within each subject and they should be modeled properly. When covariates are some unobservable characteristics of each subject, Bayesian parametric and nonparametric re

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17

Saleem, Afsah. "Machine learning for computer-aided diagnostics from complex medical images." Thesis, Edith Cowan University, Research Online, Perth, Western Australia, 2025. https://ro.ecu.edu.au/theses/2927.

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Machine learning has significantly transformed medical image analysis in the current age of artificial intelligence offering vast potential in improving disease diagnosis and management. Cardiovascular diseases (CVDs) are among the leading cause of global mortality, emphasizing the need for early detection for effective intervention and prevention. Abdominal Aortic Calcification (AAC) is an early indicator and contributor to Atherosclerotic Cardiovascular Diseases (ASCVDs) and is commonly assessed through imaging modalities such as computed tomography (CT), X-rays, and Dual-energy X-ray Absorp

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18

Li, Qiuju. "Statistical inference for joint modelling of longitudinal and survival data." Thesis, University of Manchester, 2014. https://www.research.manchester.ac.uk/portal/en/theses/statistical-inference-for-joint-modelling-of-longitudinal-and-survival-data(65e644f3-d26f-47c0-bbe1-a51d01ddc1b9).html.

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In longitudinal studies, data collected within a subject or cluster are somewhat correlated by their very nature and special cares are needed to account for such correlation in the analysis of data. Under the framework of longitudinal studies, three topics are being discussed in this thesis. In chapter 2, the joint modelling of multivariate longitudinal process consisting of different types of outcomes are discussed. In the large cohort study of UK north Stafforshire osteoarthritis project, longitudinal trivariate outcomes of continuous, binary and ordinary data are observed at baseline, year

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19

Li, Yang. "An Empirical Analysis of Family Cost of Children : A Comparison of Ordinary Least Square Regression and Quantile Regression." Thesis, Uppsala University, Department of Statistics, 2010. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-126660.

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<p>Quantile regression have its advantage properties comparing to the OLS model regression which are full measurement of the effects of a covariate on response, robustness and Equivariance property. In this paper, I use a survey data in Belgium and apply a linear model to see the advantage properites of quantile regression. And I use a quantile regression model with the raw data to analyze the different cost of family on different numbers of children and apply a Wald test. The result shows that for most of the family types and living standard, from the lower quantile to the upper quantile the

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20

Anderson, Cynthia 1962. "A Comparison of Five Robust Regression Methods with Ordinary Least Squares: Relative Efficiency, Bias and Test of the Null Hypothesis." Thesis, University of North Texas, 2001. https://digital.library.unt.edu/ark:/67531/metadc5808/.

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A Monte Carlo simulation was used to generate data for a comparison of five robust regression estimation methods with ordinary least squares (OLS) under 36 different outlier data configurations. Two of the robust estimators, Least Absolute Value (LAV) estimation and MM estimation, are commercially available. Three authormodified variations on MM were also included (MM1, MM2, and MM3). Design parameters that were varied include sample size (n=60 and n=180), number of independent predictor variables (2, 3 and 6), outlier density (0%, 5% and 15%) and outlier location (2x,2y s, 8x8y s, 4x,8y s and

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21

Murff, Elizabeth J. Tipton. "On the efficiency of ranked set sampling relative to simple random sampling for estimating the ordinary least squares parameters of the simple linear regression model /." Full text (PDF) from UMI/Dissertation Abstracts International, 2001. http://wwwlib.umi.com/cr/utexas/fullcit?p3008403.

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22

Haddad, Khaled. "Design flood estimation for ungauged catchments in Victoria : ordinary and generalised least squares methods compared." Thesis, View thesis, 2008. http://handle.uws.edu.au:8081/1959.7/30369.

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Design flood estimation in small to medium sized ungauged catchments is frequently required in hydrologic analysis and design and is of notable economic significance. For this task Australian Rainfall and Runoff (ARR) 1987, the National Guideline for Design Flow Estimation, recommends the Probabilistic Rational Method (PRM) for general use in South- East Australia. However, there have been recent developments that indicated significant potential to provide more meaningful and accurate design flood estimation in small to medium sized ungauged catchments. These include the L moments based index

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Haddad, Khaled. "Design flood estimation for ungauged catchments in Victoria ordinary & generalised least squares methods compared /." View thesis, 2008. http://handle.uws.edu.au:8081/1959.7/30369.

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Thesis (M.Eng. (Hons.)) -- University of Western Sydney, 2008.<br>A thesis submitted towards the degree of Master of Engineering (Honours) in the University of Western Sydney, College of Health and Science, School of Engineering. Includes bibliographical references.

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24

Nevarez, Martinez Deyanira. "Identifying Housing Patterns in Pima County, Arizona Using the DEYA Affordability Index and Geospatial Analysis." The University of Arizona, 2015. http://hdl.handle.net/10150/576108.

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When the Fair Housing Act of 1968 was passed 47 years ago, the United States was in the midst of the civil rights movement and fair housing was identified as a pillar of equality. While, progress has been made, there is much work that needs to be done in order to achieve integration. As a country, the United States is a highly segregated country. It is important to understand the factors that contribute to this and it is important to understand the relationships that exists between them in order to attempt to solve the problem. While the legal barriers to integration have been lifted choices c

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25

Deilami, Kaveh. "Modelling the urban heat island intensities of alternative urban growth management policies in Brisbane." Thesis, Queensland University of Technology, 2017. https://eprints.qut.edu.au/107656/1/Kaveh_Deilami_Thesis.pdf.

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When urban areas experience higher temperature than their surrounding rural areas, this phenomenon is called the urban heat island (UHI) effect. UHI contributes to global warming. Urban planning policy plays a significant role in controlling the UHI. This study examines the UHI effects of urban planning policy scenarios for Brisbane, including: a) business as usual; b) transit oriented development; c) infill development; d) motorway oriented development; and e) sprawl development. The findings show Infill development will be effective but will generate pockets of extreme UHI. Sprawl developmen

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26

Walczak, Katarzyna I. "Prototype decision support framework using geospatial technologies for analysing human health risk." Thesis, Queensland University of Technology, 2017. https://eprints.qut.edu.au/103630/1/Katarzyna%20Izabella_Walczak_Thesis.pdf.

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This thesis concentrates on the development of a prototype Decision Support Framework based on the landscape epidemiology concept and using GIS to determine human health risk in Semarang (Indonesia). This site was selected as representative of a rapidly urbanizing area in a developing country. The decision support framework examines climatic, landscape and socio-economic factors identified as having significant impacts on water quality and subsequent causation of waterborne and water-related diseases. The research outcomes potentially may be applied worldwide to identify and isolate areas most

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27

Tapper, Nilsson Emelie. "Olika kön – olika lön? : En studie om löneskillnader bland ordinarie domare i det svenska rättssystemet år 2021." Thesis, Umeå universitet, Statsvetenskapliga institutionen, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-184894.

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This study examines whether there is a wage gap between male and female ordinary judges in the Swedish legal system in the year 2021 and what some of the possible reasons may be for the existing wage gap. The study is based on data obtained from the Swedish National Courts Administration, which includes the 1 000 ordinary judges who are active in the year 2021. The data material is then analyzed using descriptive statistics as well as a bivariate regression analysis to understand if there is an existing wage gap between male and female ordinary judges. To answer the second question, the data m

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28

Shirkey, Beverly Ann Waring Stephen Clay. "An ordinal logistic regression model with misclassification of the outcome variable and categorical covariate." 2009. http://gateway.proquest.com/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&res_dat=xri:pqdiss&rft_dat=xri:pqdiss:3350049.

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29

Chen, Ling-Zi, and 陳陵姿. "Kernel logistic regression based microarray data analysis: The ordinal scale cancer classification." Thesis, 2007. http://ndltd.ncl.edu.tw/handle/52595005822592269780.

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碩士<br>中興大學<br>應用數學系所<br>95<br>Microarray has demonstrated useful applications in cancer research. By analyzing the array generated gene expression data, cancers are distinguished by their molecular variations. In this paper, the multiclass cancer classification by using microarray data is addressed. In contrast to most existing classification procedures established without considering the class structure, we propose a new method by applying the kernel technique to generalize the proportional odds logistic regression for categorizing examples into ordered classes (e.g., cancer stages or grades)

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30

Austin, Elizabeth. "Regression Analysis for Ordinal Outcomes in Matched Study Design: Applications to Alzheimer's Disease Studies." 2018. https://scholarworks.umass.edu/masters_theses_2/628.

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Alzheimer's Disease (AD) affects nearly 5.4 million Americans as of 2016 and is the most common form of dementia. The disease is characterized by the presence of neurofibrillary tangles and amyloid plaques [1]. The amount of plaques are measured by Braak stage, post-mortem. It is known that AD is positively associated with hypercholesterolemia [16]. As statins are the most widely used cholesterol-lowering drug, there may be associations between statin use and AD. We hypothesize that those who use statins, specifically lipophilic statins, are more likely to have a low Braak stage in post-mortem

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31

"Different approaches to modeling ordinal response data in course evaluation." 2001. http://library.cuhk.edu.hk/record=b5890636.

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Yick Doi Pei.<br>Thesis (M.Phil.)--Chinese University of Hong Kong, 2001.<br>Includes bibliographical references (leaves 63-66).<br>Abstracts in English and Chinese.<br>Chapter 1 --- Introduction --- p.1<br>Chapter 1.1 --- Raw score approach --- p.4<br>Chapter 1.2 --- Residual approach --- p.4<br>Chapter 1.3 --- Indicator approach --- p.5<br>Chapter 1.4 --- Overview --- p.5<br>Chapter 2 --- Application --- p.7<br>Chapter 2.1 --- Data --- p.7<br>Chapter 3 --- Modeling --- p.10<br>Chapter 3.1 --- Linear Regression at Individual Level --- p.13<br>Chapter 3.2 --- Linear Regression at Grou

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32

Procházka, Petr. "Podmíněnosti spokojenosti se životem v Česku se zaměřením na geografické faktory." Master's thesis, 2015. http://www.nusl.cz/ntk/nusl-335938.

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The objective of this thesis is to analyse determinants of subjective well-being in Czechia and to compare them with other empirical evidence from Czechia and abroad. Main theoretical approaches include those emphasising "psychological" factors and those emphasising factors outside of the human personality. Data from the Public Opinion Research Centre of more than 2,000 respondents from Czechia of years 2013 and 2014 were analysed statistically. Measures of so-called global and local subjective well-being were dependent variables. Independent variables include "geographical" and demographic va

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33

Wasser, Thomas E. "Comparison and evaluation of the effect of outliers on ordinary least squares and Theil nonparametric regression with the evaluation of standard error estimates for the Theil nonparametric regression method /." Diss., 1998. http://gateway.proquest.com/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&res_dat=xri:pqdiss&rft_dat=xri:pqdiss:9914439.

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34

Naidoo, Surendra Ramoorthee. "A predictive model of the states of financial health in South African businesses." Thesis, 2006. http://hdl.handle.net/10500/1405.

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The prediction of a company's financial health is of critical importance to a variety of stakeholders ranging from auditors, creditors, customers, employees, financial institutions and investors through to management. There has been considerable research in this field, ranging from the univariate dichotomous approach of Beaver (1966) to the multivariate multi-state approaches of Lau (1987) and Ward (1994). All of the South African studies namely, Strebel and Andrews (1977), Daya (1977), De La Rey (1981), Clarke et al (1991) and Court et al (1999), and even, Lukhwareni's (2005) four separ

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35

Haddad, Khaled, University of Western Sydney, College of Health and Science, and School of Engineering. "Design flood estimation for ungauged catchments in Victoria : ordinary and generalised least squares methods compared." 2008. http://handle.uws.edu.au:8081/1959.7/30369.

Full text

Abstract:

Design flood estimation in small to medium sized ungauged catchments is frequently required in hydrologic analysis and design and is of notable economic significance. For this task Australian Rainfall and Runoff (ARR) 1987, the National Guideline for Design Flow Estimation, recommends the Probabilistic Rational Method (PRM) for general use in South- East Australia. However, there have been recent developments that indicated significant potential to provide more meaningful and accurate design flood estimation in small to medium sized ungauged catchments. These include the L moments based index

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36

LeMire, Steven D. "An investigation of type I error rate control for independant variable subset tests with a binary dependent variable using ordinary least squares, logistic regression analysis, and nonparametric regression." 2005. http://catalog.hathitrust.org/api/volumes/oclc/69659854.html.

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Bhattacharya, Indranil. "Feature Selection under Multicollinearity & Causal Inference on Time Series." Thesis, 2017. http://etd.iisc.ac.in/handle/2005/3980.

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In this work, we study and extend algorithms for Sparse Regression and Causal Inference problems. Both the problems are fundamental in the area of Data Science. The goal of regression problem is to nd out the \best" relationship between an output variable and input variables, given samples of the input and output values. We consider sparse regression under a high-dimensional linear model with strongly correlated variables, situations which cannot be handled well using many existing model selection algorithms. We study the performance of the popular feature selection algorithms such as LASSO,

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Bhattacharya, Indranil. "Feature Selection under Multicollinearity & Causal Inference on Time Series." Thesis, 2017. http://etd.iisc.ernet.in/2005/3980.

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In this work, we study and extend algorithms for Sparse Regression and Causal Inference problems. Both the problems are fundamental in the area of Data Science. The goal of regression problem is to nd out the \best" relationship between an output variable and input variables, given samples of the input and output values. We consider sparse regression under a high-dimensional linear model with strongly correlated variables, situations which cannot be handled well using many existing model selection algorithms. We study the performance of the popular feature selection algorithms such as LASSO,

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Ventura, José Mario Roberto. "Street luminosity influence on reported thefts from vehicles during night-time." Master's thesis, 2022. http://hdl.handle.net/10362/134616.

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Dissertation submitted in partial fulfilment of the requirements for the Degree of Master of Science in Geospatial Technologies<br>Criminality across many urban settings has created the need to develop tools that help better understand the social and physical determinants of crime. One specific aspect is how certain urban characteristics may influence criminal activities. One facet of the built environment, street lighting, influences the perception of safety for a potential victim, and it also influences a perpetrator´s risk analysis, affecting how it envisions both costs and rewards for comm

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