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 21 for “"Log Linear Models"”.
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Linear and log-linear models based on generalized inverse sampling scheme
… negative binomial and negative multinomial (NMn) models are applicable when there is only one rare category in the population. Here, a new model, based on generalized inverse sampling scheme, is introduced to study several rare events simultaneouly. The generalized inverse sampling scheme is used …
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Integrating source-language context into log-linear models of statistical machine translation
… source context modelling directly into log-linear phrase-based SMT (PB-SMT) and hierarchical PB-SMT (HPB-SMT), and can positively influence the weighting and selection of target phrases, and thus improve translation quality. In this thesis we present novel approaches to incorporate …
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Incorporating translation quality-oriented features into log-linear models of machine translation
… could be alleviated by the use of syntax-based models. Although the benefits of syntax use in MT are becoming clear with the ongoing improvements in string-to-tree and tree-to-string systems, tree-to-tree systems such as Data Oriented Translation (DOT) have, until recently, suffered from lack of …
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Explicit Estimates for Cell Counts and Modeling The Missing Data Indicators in Three-Way Contingency Table by Log-Linear Models
… the missing-data indicators using homogeneous log-linear models. Model based approach for contingency tables has the advantage of providing the information of missing data mechanisms. Previous methods for contingency tables with supplementary margins required an iterative algorithm, however, …
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Applying Log-linear Models And GIS To Study The Safety Of Pedestrians And Bicyclists : A Case Study Of Orange County School Children
… with higher crash incidence rates. The use of log-linear analysis has culminated in explaining the relationship between various variables and crash incidence or crash frequency Crash data for this study was obtained in the form of crash database and GIS maps from the Department of Highway …
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Loglinear Models as Item Response Models
… item response data, item response theory (IRT) models treat the discrete responses to the items as driven by underlying continuous latent traits, and consider the form of conditional probability of the response to each item given the latent traits. In a similar fashion, log-linear models …
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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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An analysis of fertility differentials in Liberia and Ghana using multilevel models
… in which a woman lives is integral to anthropological explanations of fertility, statistical models of fertility have rarely included an assessment of community effects.<br/><br/>The method of analysis used is multilevel modelling. This involves fitting variables measured at the woman level, …
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The Effects of Forest Management on Birds in the Black Hills of South Dakota
… species diversity indices (3.09). Hierarchial log-linear analysis was used to model variation in abundance o f21 bird species among structural stages, years, sample sessions, and interactive sources of variation. Variation due to structural stages was evident for all species except Warbling …
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The analysis and prediction of student progression through degree programmes : a cohort analysis of undergraduate students at the university of Cape Town
… students within each cohort were detected using log-near modelling. By means of multiple discriminant analysis, significant predictor variables of the final undergraduate academic outcomes within each cohort were identified. However, the relatively weak discriminatory powers of the multiple …
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Diagnostic Modeling of Intra-Organizational Mechanisms for Supporting Policy Implementation
… standard errors than the competing finer-grained models. The Q-matrix accounted for the complex loadings of items to the four theoretically and empirically driven mechanisms of implementation support including characteristics of the policy, teachers, leadership, and the organization. The …
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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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Statistical methods and models for analyzing sugarcane (Saccharum species hybrids) plant breeding data
… and the Mexican rice borer. Random coefficient models (RCM) identified elite families with higher cane yield potential and higher repeatability between seedlings and clones. These elite families comprised a larger proportion of higher yield seedlings that produced high yielding clones. Logistic …
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Genetic analysis of hoof traits
… tables on daughters and dams using ten log-linear models supported genetic predisposition for most hoof traits (heel height, hoof texture, subsole, toe growth, interdigital hyperplasia, corkscrew claw, heel erosion, interdigital dermatitis and laminitis). Results of hoof trait analyses …
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Possum (Trichosurus vulpecula) responses and preferences to novel objects in their environment
… cafeteria tests and analysed using multinomial log-linear models and Akaike Information Criterion. Black was the preferred colour (followed by Blue, Yellow and White) by both possum genders and weight classes (i.e. <2.5 kg). Possums expressed a preference for the more ‘open’ Square trap geometry …
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Environmental lead exposure among inner-city Cape Town children : a study of associated risk factors
… spectrophotometry. In addition other haematological and anthropometric measurements were conducted. A pre-tested questionnaire administered to parents identified risk factors for lead exposure. Statistical analyses, including log-linear models, were used to determine the relationships between …
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Effect of Anaerobic Soil Disinfestation on Salmonella Concentration Using Different Soil Amendments
… inoculated with a Salmonella cocktail (5.5±0.2 log CFU/g) and amended with field-applicable rates of rye (R), rapeseed (RS), hairy vetch (HV), or pelletized poultry litter (PPL). Non-amended, anaerobic (ANC) and non-amended, aerobic controls (AC) were performed in parallel. Soils were irrigated …
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Parameter Estimation for Normally Distributed Grouped Data and Clustering Single-Cell RNA Sequencing Data via the Expectation-Maximization Algorithm
… is not natural or evident, such as mixed-effects models, mixture models, log-linear models, and latent variables. In Chapter 2 of this thesis, we apply the EM algorithm to grouped data, a problem in which incomplete data are evident. Nowadays, data confidentiality is of great importance for many …
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STATISTICAL MODELS UTILIZING DEPENDENCE BETWEEN VARIABLES
… (Sanov, 1957). Maximum likelihood estimation in log-linear models for multinomial distributions is equivalent to solving an <italic>I<italic>-projection problem (Robertson et. al, 1988). I-projection and Fenchel's duality were used in our research to introduce the proposed model. We consider …
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Novel techniques for measuring the effect of neighbouring bases on mutation and their applications
… and facilitate the development of more accurate models of genetic divergence. Hypermutability of CpG demonstrates the existence of mutation motifs, sequences of flanking bases that influence point mutation processes. These motifs can also be indicative of specific underlying mutation mechanisms. …
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