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 17 of 17 for “"Log-linear model"”.
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A log-linear model for predicting risk factors for rabies positivity in raccoons in Virginia, 1984-1987
… to elicit detailed information about the epidemiology of rabies in Virginia. The information collected from those submission forms was used in a mathematical model analysis of the epidemiology of raccoon rabies in Virginia for the years 1984 through 1987. Eleven explanatory variables and one …
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Relationships between types of teacher intervention and preschool children's play
… were analyzed using a descriptive analysis and Log Linear Model.
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Modeling repairable system failure data using NHPP reliability growth mode.
… process (NHPP) often known as the Power Law model is regarded as one of the best models for repairable systems. The goodness-of-fit test rejects the intensity function of the power law model, and so the log-linear model was fitted and tested for goodness-of-fit. The Weibull Time to Failure …
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Unsupervised learning of morphological forests
This thesis focuses on unsupervised modeling of morphological families, collectively comprising a forest over the language vocabulary. This formulation enables us to capture edge-wise properties reflecting single-step morphological derivations, along with global distributional properties of the …
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Parse reranking with WordNet using a hidden variable model
… retain word sense ambiguity in a hidden variable model. We define a probability distribution over candidate parses and word sense assignments with a feature-based log-linear model, and we employ belief propagation to obtain an efficient implementation. Our main results are a relative improvement …
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Sources of political support for decentralization of the educational system and its relationship to public support for education
… were analyzed using a descriptive analysis and Log Linear Model."
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The use of correspondence analysis in building loglinear models
… (an exploratory data analysis procedure) and Log-linear Model building (a confirmatory data analysis procedure) are discussed before an investigation is undertaken to ascertain whether they can be used in conjunction. We found that correspondence analysis : (i) detects questions that are …
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Morphological segmentation : an unsupervised method and application to Keyword Spotting
… present a new unsupervised algorithm for morphological segmentation that utilizes pseudo-semantic information, in addition to orthographic cues. We make use of the semantic signals from continuous word vectors, trained on huge corpora of raw text data. We formulate a log-linear model that is …
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An exploratory study of international tourism demand from the selected countries to Taiwan
… the tourist-generating countries and Taiwan. The log-linear model was used in this study to explain both tourist arrivals and tourist expenditures. The C (p), R2, Model significance level (a), Durbin-watson d statistic, regression coefficients of variables and variable significance levels are …
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Learning to map sentences to logical form
… new techniques for learning to map sentences to logical form - lambda-calculus representations of their meanings. We first describe an approach to the context-independent learning problem, where sentences are analyzed in isolation. We describe a learning algorithm that takes as input a training …
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Development of error correction techniques for nitrate-N load estimation models
… algal blooms, which could lead to numerous ecological problems. To better understand nutrient load transport, and to develop appropriate water management plans, it is important to have accurate estimates of annual nutrient loads. This study used a Monte Carlo sub-sampling method and …
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Preparação e caracterização de complexos multicomponentes contendo ciclodextrinas e benznidazol
… using phase solubility diagram methodology, nuclear magnetic resonance of protons (RMN) and molecular modeling. Complexes were obtained in solid phase by spray drying and physicochemical characterization included the UV-Vis spectrophotometric spectroscopy in the infrared region, …
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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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Cognitive Diagnostic Model, a Simulated-Based Study: Understanding Compensatory Reparameterized Unified Model (CRUM)
… assist students succeed. Cognitive diagnostic modeling (CDM) has the potential to provide valuable information for stakeholders to assist students identify their skill deficiency in specific academic subjects. Cognitive diagnosis models are mainly viewed as a family of latent class confirmatory …
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Analyzing the effects of product architecture on technical communication in product development organizations
… the mentioned hypothesized effects. Second, a log-linear model, built upon social network analysis methods, was developed to study the association between design interfaces and team interactions controlling for effects of reciprocity, differential attraction, and differential expansiveness of …
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Estimation of population totals from imperfect census, survey and administrative records
… List is based on capture-recapture methodology which has traditionally been employed for the measurement of abundance of biological populations. Under this framework, in order to estimate the unknown population total, N, an initial set of individuals is captured. Further subsequent captures …
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Explicit Estimates for Cell Counts and Modeling The Missing Data Indicators in Three-Way Contingency Table by Log-Linear Models
… expand Baker, Rosenberger and Dersimonian (BRD) model approach to compute the explicit maximum likelihood estimates for cell counts for three-way cross-classified data. Derivation of explicit cell counts for three-way table with supplementary margins can be obtained by controlling the missingness …