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Showing 1 to 20 of 96 for “"likelihood ratio test"”.
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PERFORMANCE OF THE TWO SAMPLE LIKELIHOOD RATIO TEST UNDER A NESTED DIRICHLET: A SIMULATION STUDY
… and Nested Dirichlet models and the associated likelihood ratio test (LRT) framework. Chapter 3 presents a simulation study to evaluate the Type I error performance of the LRT under varying sample sizes, mean vectors, and precision parameters, providing insight into its robustness and …
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Comparing k Population Means with No Assumption about the Variances
… distributed. Under these three assumptions, a likelihood ratio test is used to test for the difference in population means. Typically, the assumption of independence can be justified based on the sampling method used by the researcher. The likelihood ratio test is robust to the assumption of …
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A Study of Relationships Between Family Members Using Familial Correlations
… family size 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 …
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Statistical Hypothesis Testing Under Model Uncertainty
Statistical testing is one of the main problems in statistics and finds applications in a number of fields, including engineering, signal processing, medicine, and finance among others. Traditionally in hypothesis testing problem, the hypothesis distributions subject to testing are known. However, …
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Statistical Methods For Biomarker Threshold Models in Clinical Trials
… often unknown. For this situation, the ordinary likelihood ratio test cannot be applied for testing treatment-biomarker interaction because of the model irregularities. We develop a residual bootstrap method to approximate the distribution of a proposed test statistic to test for …
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Haplotype-Based Association Studies: Approaches to Current Challenges
… This thesis starts by addressing the multiple testing problem that results from applying a hierarchical clustering procedure to haplotypes and then performing a statistical test for association at each of the steps in the resulting hierarchy. Applying our method to a haplotype case-control …
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Honey Bee (Apis Mellifera) Foraging Preferences are Negatively Correlated with Alfalfa Leafcutting Bee (Megachile Rotundata) Productivity in Virginian Landscapes
… cocoon productivity varied by location (log-likelihood ratio test: χ2 = 311.0, df = 2, p < 0.001), with Winchester as the most productive location (mean cocoon count (95% CI): 26.2 (23.7 to 28.9)), followed by Blacksburg (20.4 (18.2 to 22.9)), and Suffolk (4.4 (3.5 to 5.5)). The abundance of …
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Regime change and weak form efficiency of South African foreign exchange markets
… is divided into two sample periods. By using the likelihood ratio test proposed in Dickey Fuller, I find that the regime-shift does help the foreign exchange market in South Africa to be efficient in that past exchange rates cannot help in forecasting future exchange rate movements.
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Second-order Cyclostationary Feature Based Detection of WiMAX Signals in Pulsed Noise Environments
… vital to the continued development and proliferation of wireless communications systems. Government directives indicate that certain frequency bands which once were reserved for radar-only applications must now support wireless broadband systems. The effect of co-site interference upon …
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Robust Inference in Multiple Nonstationary Time Series
… a multivariate generalization of the unit root tests proposed in Zivot and Andrews (1992) is investigated. The null hypothesis entails the existence of a number of cointegrating vectors band no breaks in the constant term of the vector autoregression. Under the alternative, there are additional …
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Mixed Mode Latent Class Clustering: An Examination of Fit Index Performance for Identifying Latent Classes
… sample sizes, class prevalence, and class enumeration. The factors that were included for study were: number of indicators (10), metric level of indicators (two categorical / eight continuous, five categorical / five continuous, eight categorical / two continuous), sample sizes (400, 800, 1200), …
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Detection of sparse mixtures: fundamental limits and algorithms
… mixture detection problem as a binary hypothesis testing problem. Under the null hypothesis, we observe i.i.d. samples from a known noise distribution. Under the alternative hypothesis, we observe i.i.d. samples from a mixture of the noise distribution and signal distribution. The noise and signal …
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Identification of Deleterious and Disease Alleles in a General Population and Preterm Labor Patients
… address the first question, I developed a new likelihood ratio test for sequence conservation to predict deleterious missense alleles in the human genome. By applying the new test to three personal genomes, I find that the presence of only 10% of common deleterious SNPs can be explained by …
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Gradient Boosted Decision Tree Application to Muon Identification in the KLM at Belle II
… The FBDT model was worse than the benchmark likelihood ratio test model for the whole momentum range during testing on Monte Carlo (MC) simulated data. This is seen in the lower Area Under the Curve (AUC) values for the FBDT ROC curves, achieving peak AUC values around 0.82, while the …
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Developing a General Method for Analyzing Psychomotor Vigilance Task (PVT) Data: Modeling Sleep Inertia in Children
… Psychomotor Vigilance Task (PVT) data which is a test to measure alertness and is commonly used in psychology. In particular, we focus on applying these methods to data from studies of measuring sleep inertia in children. We will start by looking at relevant methodological and application specific …
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New Multivariate Zero-Inflated Beta-Binomial Distribution
… zero-inflated beta-binomial model is created. Likelihood- based inferences procedures include the induction of estimating parameters of the MZIBB model via Newton-Raphson algorithm, Fisher scoring algorithm, and EM algorithm. The score test and likelihood ratio test are derived for testing the …
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Confronting Theory with Data: the Case of DSGE Modeling
… VAR) behind the DSGE model, with a view to test its probabilistic assumptions vis-a-vis the data. It is shown that the implicit statistical model is seriously misspecified and the information from mis-specification (M-S) testing is then used to respecify the original structural VAR in an …
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Secure mobile payment system based on Blockchain technology for higher learning institutions.
… perceived risk, social norm, gender and age. The Likelihood Ratio Test was used in this study, and the results showed that perceived ease of use and gender influenced student adoption of e-wallets at a 5% level of significance. Thus, designers and software developers of e-wallet products should …
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Secure mobile payment system based on Blockchain technology for higher learning institutions.
… perceived risk, social norm, gender and age. The Likelihood Ratio Test was used in this study, and the results showed that perceived ease of use and gender influenced student adoption of e-wallets at a 5% level of significance. Thus, designers and software developers of e-wallet products should …
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Unobserved heterogeneity in economic models: testing and estimation
… economic models. The first two chapters discuss tests for parameter homogeneity against general alternatives. In the first chapter, I propose a unified framework for score tests of parameter homogeneity based on Neyman's $C(\alpha)$ approach. Such tests are irregular in the sense that the first …
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