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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 24 for “"score test"”.
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Robust methods for analyzing multivariate responses with application to time-course data
… of three parts. The first part develops a robust score test for linear models by a modification of the well-known Rao's score test based on Huber's M estimator. The test statistic is asymptotically normal, and the simulation study suggests that the test has higher power in the presence of outliers …
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Testing for Constancy of Correlation in Autoregressive Conditional Heteroscedasticity (Arch) Models
"This thesis presents a test statistic for the constancy of correlation in the multivariate normal model. Following Chesher (1984) and Cox (1983), we focus on deriving a score test of the hypothesis that the variance of the parameter of interest is zero. Here the score test checks the local …
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Functional Linear Regression in High Dimensions
… of our investigation is to establish valid testing procedures for general hypothesis on an arbitrary subset of regression coefficient functions. Specifically, we exploit the techniques developed for post-regularization inference, and propose a score test for the large-scale functional linear …
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New Multivariate Zero-Inflated Beta-Binomial Distribution
… Fisher scoring algorithm, and EM algorithm. The score test and likelihood ratio test are derived for testing the significance of zero-inflation parameter ω. The performance of the EM algorithm is evaluated by giving different group settings of parameters in the simulation study. In the end, real …
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Contributions to Estimation in Item Response Theory
… for the one-step estimates. Finally, we study tests of the goodness of fit for the models. We show that Rao's score test is superior to the existing chi-square tests.
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Linear Models for Multivariate Repeated Measures Data
… main results are: (1) construction of Rao's score test for a simpler model with p=1 (univariate case) and V<sub>ij</sub> having a structure as in a mixed effects model, (2) comparison of all the methods for analyzing univariate repeated measures data with time varying covariates, (3) …
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Longitudinal Growth Charts Based on Semi-Parametric Quantile Regression
… for the conditional quantiles. The rank score test, an important inference tool in quantile regression, is extended to testing the effects of covariates in a semiparametric longitudinal model. The functionality of the proposed models is demonstrated with the Finnish growth data, which …
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Building a Nonparametric Model After Dimension Reduction
… of effective dimensions needed. We study four tests of dimensionality: a chi-square test, a Wald-type test on eigenvalues, a modified Wald-type test, and a matrix rank test. These tests are motivated from different aspects of the problem and have their own strength and weakness. We discuss and …
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Evaluation and validation of a self-report scale of irrational beliefs.
… (Your Irrational Personality Trait Inventory Score) test, developed by Maultsby (1980) for use in his self-help therapy. A more general goal was to develop a scale suitable for three important applications: the assessment of irrational thinking, the facilitation of therapy aimed at cognitive …
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Sample Size Calculation Based on the Semiparametric Analysis of Short-term and Long-term Hazard Ratios
… Without covariate adjustment, the logrank test statistic is often used for the sample size and power calculation. With covariate adjustment, the approaches are often based on the score test statistic for the Cox proportional hazards model. Such methods, however, are inappropriate when the …
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An investigation of fit measures for longitudinal network and attribute co-evolution models
… paper, including an extension of Snijders’ t-test to a Pseudo-Wald test statistic, an extension of Schweinberger’s score test for use in a co-evolution model, an entropy-based goodness-of-fit measure, and an R^2 goodness-of-fit measure for actor-based co-evolution models. Following the …
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A Study of Relationships Between Family Members Using Familial Correlations
… case is presented. First, three likelihood based tests, namely the likelihood ratio test, Rao score test, and Wald test, and two more asymptotic tests which use Srivastava's estimator of the intraclass correlation coefficient are considered to test the null hypothesis of equality of the intraclass …
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Choosing Between the Fixed-, Random-, and Mixed-Effects Model in Meta-Analysis: An Analysis of Existing and New Model Selection Methods
… error. Third, four different homogeneity tests are examined in terms of their Type I error and power. Finally, a bottom-up and a top-down model selection strategy are outlined and compared to determine their accuracy in identifying the correct model. The major findings are as follows. …
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Some Advanced Model Selection Topics for Nonparametric/Semiparametric Models with High-Dimensional Data
… nonparametric models and proposing a testing procedure for evaluating nonlinear interaction effect in a semiparametric model. To address the first topic, we propose a new Bayesian variable selection approach via the graphical model and the Ising model, which we refer to the ``Bayesian …
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A variance shift model for outlier detection and estimation in linear and linear mixed models
… standard software packages. Likelihood ratio and score test statistics are developed as objective measures for the variance shift estimates. The proposed test statistics initially assume balanced longitudinal data with a Gaussian distributed response variable. The dependence of the proposed test …
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On testing the change-point in the longitudinal bent line quantile regression model
… a longitudinal framework. Second, we propose a score-type test for hypothesis testing of the change-point problem using rank-based inference. The proposed test in this thesis has several advantages over the existing inferential approaches. Most importantly, it circumvents the difficulties of …
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Novel Statistical Methods for Multiple-variant Genetic Association Studies with Related Individuals
… lead to loss of power in genetic association tests. Also, repeated measurements of phenotype and dynamic covariates from longitudinal studies bring in more opportunities but also challenges in the discovery of disease-related genetic factors. This dissertation focuses on developing novel …
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New Score Tests for Genetic Linkage Analysis in a Likelihood Framework
… (CL) model retains the nice property of the LOD score formulation, and has advantages over other methods to make it an appropriate choice for complex trait mapping. However, the asymptotic distribution of the CL-LR statistic with constraints on the model parameters is unknown. Also, the method …
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The Impact of a Fruit and Vegetable Intervention on School Cafeteria Fruit and Vegetable Selection and Consumption in a Rural, Appalachian Mississippi Elementary School
… compared to previous standards. Using a pretest-posttest design, this study examined the effect of a fruit and vegetable intervention on fruit and vegetable food selection and consumption in a rural, Appalachian Mississippi elementary school. A six-week intervention (nutrition education, …
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Preschool children's information processing and emotional behavior in social conflict situations
… – it had initially been designed under the True Score Test theory paradigm. The children were divided into Type A (high on negative emotionality and low on emotion and behavior regulation, N=27 and Type B (low on negative emotionality and high on emotion and behavior regulation, N=31). The …
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