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 10 of 10 for “"multinomial model"”.
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Linear and log-linear models based on generalized inverse sampling scheme
… statistical techniques and the applications in modeling rare events using generalized inverse sampling scheme. The Poisson model can be used for independent frequency count data. Also negative binomial and negative multinomial (NMn) models are applicable when there is only one rare category in …
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Bayesian analysis for categorical survey data
… and multivariate categorical survey data. The Multinomial model is used and the following problems are addressed. Limited information about the design variables leads us to model the unknown design variables taking into account the sampling scheme. Random effects are incorporated in the model …
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Strategic behavior in risky competitive settings
… I propose a novel and tractable structural model for ascending auctions with both common and private value components in which heterogeneous bidders exhibit loss aversion. Importantly, I find that loss averse bidders bid noticeably lower than risk neutral ones. I also consider a more general …
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Statistical Analysis of Longitudinal and Multivariate Discrete Data
… and epidemiological longitudinal studies. Modeling and simulating such variables is difficult because the correlations are restricted by the marginal means via Fréchet bounds in a complicated way. In this dissertation we will first discuss partially specified models and methods for …
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Bayesian Designs For Early Phase Clinical Trials With Novel Target Agents
… as a primary endpoint.</p> <p>A number of novel model-based and model-assisted designs have been proposed to find the maximum tolerated dose (MTD) in phase I clinical trials, but their differences and relative pros and cons are not clear to many practitioners. We review three model-based designs, …
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The probability of nonconvergence and its spatial effects in the hard red winter wheat market
… in three delivery locations in Kansas. A multinomial model was used to determine the probability of each convergence outcome given an average percent financial full carry in the observation period. The occurrence of nonconvergence was found to be significantly more probable in all …
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Regression Methods for Categorical Dependent Variables: Effects on a Model of Student College Choice
… variables with the classical linear regression model (CLRM) violates many of the model's assumptions and may result in biased estimates (Long, 1997; O'Connell, Goldstein, Rogers, & Peng, 2008). Many dependent variables of interest to educational researchers (e.g., professorial rank, educational …
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Compositional models for mutational signature analysis
… Approach: I introduce appropriate compositional models to analyse two types of mutational signature: single-nucleotide polymorphism signatures, and copy number signatures. The Dirichlet-multinomial mixed effects model for single-nucleotide data is shown to have good sensitivity compared to …
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Essays on transport economics
… the first two steps in the traditional four-step model for traffic assignment: trip generation and trip distribution. The trip generation step determines the frequency or volume of trips in each zone, and the trip distribution step matches the origin with the destination of corresponding flows. …
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Confidence Intervals for Population Size in a Capture-Recapture Problem.
… width and exact coverage properties in two models. The new approach performs better than the Chapman in each model. Bayesian analysis also gives a different way to estimate population size.</p>