Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 20 of 42 for “"Ordinal data"”.
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Collaborative ranking from ordinal data
… not seen by the user. For cardinal (ratings) data, personalized preference prediction has been efficiently solved over the past few years using matrix factorization related techniques. Recent studies have shown that ordinal (comparison) data can outperform cardinal data in learning …
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Conditional Quantile Estimation With Ordinal Data
… to the analysis of the relation between an ordinal response variable and a set of covariates and propose a new regression method for estimating the conditional quantiles of the ordinal response variable. By assuming a continuous latent variable underlying the observed ordinal response …
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Comparing Dependent Correlations for Ordinal Data
… and application for analyzing categorical ordinal data have matured in statistical inferences during recent decades of development. The methods include logistic regression models, odds ratios, inferential methods by using chi-squared tests of independence and conditional independence. On …
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The analysis of longitudinal ordinal data
Longitudinal data, in which a series of observations is collected on a typically large number of experimental units is one of the most frequent and important sources of quantitative information in forestry. The dependencies among repeated observations for an experimental unit must be accounted for …
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Modeling and Measuring Association for Ordinal Data
… estimator of common odds ratio in a K x K ordinal contingency table where the category numbers of the variables are the same. The M[superscript2] statistic with scoring systems is also introduced. From the simulation results, we figure out that the chi-square statistics do not work except …
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Essays on the econometrics of ordinal data
In economics, ordinal variables like general health, mental health, and happiness level play a crucial role. Ordinal data is commonly used in surveys and questionnaires due to its ordered structure. However, incorporating an ordinal outcome variable in economic studies presents challenges. The …
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Modeling Correlated Ordinal Data: Marginal and Conditional Approaches
… Analyses of randomized controlled longitudinal data and randomized controlled surgical data are used to illustrate the features of the class of models.
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Modeling and Analysis of Repeated Ordinal Data Using Copula Based Likelihoods and Estimating Equation Methods
<p>Repeated or longitudinal ordinal data occur in many fields such as biology, epidemiology, and finance. These data normally are analyzed using both likelihood and non-likelihood methods. The first part of this dissertation discusses the multivariate ordered probit model which is a likelihood …
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Prediction of Conditional Quantiles in Ordinal Regression With Applications to Aging Research
Key words: Ordinal data; Quantile regression; Nonparametric transformation model; Second Longitudinal Study of Aging.
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Machine learning analytics for predictive breeding
… by the quality of the phenotypic and genotypic data and by the use of appropriate analytic models in the training sets. This research focuses on the impact of data quality for ordinal traits. Ordinal scores of traits are typical for various types of stress tolerance and resistance. Established …
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The effects of exercise on alcohol consumption and depression in DUI probationers
… two arms of the study were evaluated by weekly ordinal data analyzed using a repeated measure ANOVA and a pre-post design using a 2x2 table with the appropriate ANOVA at a .05 level of significance. The results indicated no significant difference between the groups. There experimental group …
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Screen Time and the Psychological Well-Being of U.S. Teenagers: An Exploratory Re-Analysis of Data from the Youth Risk Behavior Survey
… studies, notably secondary analyses of survey data, have examined the possibility of adverse effects from teenagers' use of digital screen-based media--with correspondingly diverse findings. One research group in particular, led by Jean M. Twenge, has been prolific and forceful in associating …
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Applying Bayesian Ordinal Regression to ICAP Maladaptive Behavior Subscales
This paper develops a Bayesian ordinal regression model for the maladaptive subscales of the Inventory for Client and Agency Planning (ICAP). Because the maladaptive behavior section of the ICAP contains ordinal data, current analysis strategies combine all the subscales into three indices, making …
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Addressing two issues in machine learning : interpretability and dataset shift
… by a large sacrifice in accuracy on real world datasets. I then briefly discuss possible extensions that allow one to directly optimize rank statistics over rule lists, and handle ordinal data. In the second, I address a shortcoming of a popular approach to handling covariate shift, in which the …
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The Effect of ESCHERICHIA COLI Endotoxin on the Cat Periapical Tissues
… lesions were ranked according to size and the ordinal data used in the Friedman and Wilcoxon statistical tests. The histologic sections were examined for type of inflammatory cell infiltrate, degree of inflammation, and osteoclastic activity. The histologic observations were used in a …
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Methods of sample size calculation for clinical trials
… appropriate sample sizes for Normal, binary and ordinal data. The inadequacies of existing sample size and power calculation software and methods are considered, and new software is offered that will be of more use to researchers planning randomised clinical trials. The software includes the …
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An investigation into statistical methods for analysing ordered categorical data.
… methods for analysing ordered categorical data. Some standard descriptive and modelling procedures are described, and the data is analysed using a relatively new statistical package, CHAID, which is designed purely for categorical data analysis. The study is centered around the application …
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Identifying tightly regulated and variably expressed networks by differential rank conservation (DIRAC)
… noise in biology is to convert the molecular data from individual genes or proteins into an analysis of comparative biological network behaviors. One of the limitations of previous network analyses is that they do not take into account the combinatorial nature of gene interactions within the …
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THE TRIBAL COLLEGE MOVEMENT: ENSURING THAT NATIVE AMERICAN STUDENTS SUCCESSFULLY COMPLETE AN ASSOCIATE DEGREE AND PERSIST TO EARN A FOUR-YEAR DEGREE
… and academic counselors.</p> <p>The data from the first phase of the study were illustrated by the use of tables and descriptive narrative. The data were transcribed and subjected to data analyses as recommended by Strauss and Corbin (1990), Tesch (1990), and Creswell (1994). A …
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THE TRIBAL COLLEGE MOVEMENT: ENSURING THAT NATIVE AMERICAN STUDENTS SUCCESSFULLY COMPLETE AN ASSOCIATE DEGREE AND PERSIST TO EARN A FOUR-YEAR DEGREE
… and academic counselors.</p> <p>The data from the first phase of the study were illustrated by the use of tables and descriptive narrative. The data were transcribed and subjected to data analyses as recommended by Strauss and Corbin (1990), Tesch (1990), and Creswell (1994). A …
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