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 43 for “"Information Criteria"”.
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Model Selection with Information Criteria
This thesis is on model selection using information criteria. The information criteria include generalized information criterion and a family of Bayesian information criteria. The properties and improvement of the information criteria are investigated. We analyze nonasymptotic and asymptotic …
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Essays on choice modeling
… set up to analyze the performance of different information criteria and tests used to discriminate between models, either nested or non-nested. In particular, within non-nested models, four criteria and three tests are assessed, all of them based on the Kullback-Leibler Information Criterion …
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Time Series Analysis and Indicators of Economic Activity (Forecasting)
… A theoretical/empirical comparison of various information criteria of interest is provided and it is concluded that Hannan and Kavalieris criterion is the most appropriate criterion to be used for model selection. Appropriate time series models for forecasting state income tax receipts are …
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Entropic criteria for computational models of advection-diffusion equations
… this question, we use thewell-known Akaike Information Criteria (AIC) and a recently-developed correction calledthe Computational Information Criteria (COMIC) to guide the model selection process.Two Lagrangian numerical methods - the random-walk particle tracking (RWPT) and mass-transfer …
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A Study of the Evaluation of School Superintendents in the State of Indiana
… The investigation was designed to obtain information about the areas of superintendent evaluation, i.e., sources used, methods or means of obtaining information, criteria used, persons participating in development of criteria, procedures used, frequency of evaluation, purpose for …
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On the Use of Covariates in a Latent Class Signal Detection Model, with Applications to Constructed Response Scoring
… were explored. Here, the ability of information criteria, namely the AIC, small sample adjusted AIC and BIC, in recovering the true model with respect to how covariates are introduced was also examined. Results indicate that parameters were generally well recovered in fully-crossed …
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A new hybrid model of dengue incidence rate using negative binomial generalised additive model and fuzzy C means model a case study in Selangor
… methods which are deviance (D), Akaike Information Criteria (AIC) and Bayesian Information Criteria (BIC). Lastly, the validation of model developed by comparing the value of D, AIC and BIC between the existing model and the new models developed which used the new datasets. There are two …
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Performance of AIC-Selected Spatial Covariance Structures for fMRI Data
… the correct covariance structure is difficult. Information criteria, such as AIC are often used to choose among covariance structures. Once the covariance structure is selected, significance tests can be used to determine if a region of interest within the brain is significantly active. Through …
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A Bayesian multilevel model for women unemployment in South Africa
… in South Africa in 2016 was used in the study. Information criteria revealed that the random intercept model outperformed the MLR model of the null and random coe cient multilevel models. The Intraclass Correlation Coe cient (ICC) proposes that there is an understandable di erence in women …
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Model sensitivity to prior selection in replication studies
… analyses, posterior predictive checking, and information criteria, researchers can start with a more reasonable prior setting that eventually leads to more valid confirmation or non-confirmation of previous research.
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Managers' reactions to transfer intervention type and information about utility analysis
… of training interventions under two types of information criteria was studied. Relapse prevention, an individual transfer intervention model added to a training design, was compared to a proposal to train managers in supervisory support issues, considered an intervention to improve the work …
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Leveraging Statistical Process Control for continuous improvement of the manufacturing process
… thesis suggests including the use of the Akaike information criteria (AIC), a recognized statistical model selection criterion, for objective model selection for the purpose of establishing the most representative control limits in the application of SPC. The most representative control limits …
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Application of ordered latent class regression model in educational assessment
… is done to evaluate the performance of information criteria (AIC and BIC) in selecting the appropriate number of latent classes in the model. From the simulation results, AIC outperforms BIC for the model with the order-restricted maximum likelihood estimator.
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Growth and Reproduction of Southern Flounder (<i>Paralichthys lethostigma</i>) in the North-Central Gulf of Mexico
… model fit was evaluated using Akaike information criteria, revealing that the three-parameter von Bertalanffy growth function best described the female-specific data (<em>L<sub>∞</sub></em> = 509 mm, <em>k</em> = 0.70 y<sup>-1</sup>, <em>t<sub>0</sub></em>= -0.46 y). By fitting a …
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Probabilistic Multi-Compartment Deformable Model, Application to Cell Segmentation
… of images into regions, given some homogeneity criteria, prior appearance and/or shape information criteria. Specifically, segmentation of cells in microscopic images is the first step in analyzing many biomedical applications. This thesis is a part of the project entitled "Construction and …
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Age, Growth, and Reproduction of Vermilion Snapper (<i>Rhomboplites aurorubens</i>) in the North-Central Gulf of Mexico
… used to estimate growth parameters and Akaike information criteria (AIC) was used to determine relative model fit. The 2-parameter von Bertalanffy growth function provided the best model fit and lowest AIC score. Histological examination indicated that Vermilion Snapper are batch spawners with …
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A study of factors affecting the occurrence of down syndrome in Negeri Sembilan Malaysia
… these models were compared using Akaike information criteria to determine the model with the best fit for prediction. The results show a significant relationship between maternal age and DS cases. It was also found that DS is not genetic and cannot be transferred from parent to offspring. …
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SARIMA Short to Medium-Term Forecasting and Stochastic Simulation of Streamflow, Water Levels and Sediments Time Series from the HYDAT Database
… short-term forecasts using SARIMA. The Akaike information criteria was used as performance criteria for generating efficient SARIMA models. The developed models were validated by analyzing the residuals. Several stations from the Canadian Hydrometric Database (HYDAT) displaying a linear upward …
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Selecting the Best Linear Mixed Model Using Predictive Approaches
… of longitudinal data. Inference techniques and information criteria are available and well-studied for goodness-of-fit within the linear mixed model setting. Predictive approaches such as R-squared, PRESS, and CCC are available for the linear mixed model but require more research (Edward, 2005). …
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Predictive Alternatives in Bayesian Model Selection
… In this thesis, I present two new families of information criteria that can be used to perform model comparison. In Chapter 1, I review the necessary background to motivate the thesis. Of particular interest is the role of priors for estimation and model comparison as well as the role that …
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