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Showing 1 to 20 of 21 for “"Akaike's Information Criterion"”.
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An evaluation of univariate time-series models of quarterly earnings per share and their generalization to models with autoregressive conditionally heteroscedastic disturbances
… models for quarterly EPS. Furthermore, based on Akaike's information criterion, modeling the GARCH effect appears to be desirable. However, the results of forecast accuracy comparisons provide no evidence that the ARIMA-GARCH specification results in more accurate forecasts than the conventional …
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An outcome-based statistical framework to select and optimize molecular clustering methods for infectious diseases
… measuring performance through the loss of Akaike's information criterion, a metric which indicates the benefit of predictive variables given a threshold. I compare thresholds which maximize this loss between clustering methods and data sets, analyzing the optimum thresholds for clustering …
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MODELING MEDIAN HOUSEHOLD INCOME DISTRIBUTION
… Mean Absolute Error, Chi-square Goodness-Of-Fit, Akaike's Information Criterion and Bayesian Information Criterion. We also use the graphical technique of QQ Plots. We discover that the Singh-Maddala most often provides the best fit model for our income data, and we make the recommendation that …
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Habitat preferences of the eastern fence lizard, Sceloporus undulatus, in southwestern Virginia
… preferences were modeled with a Geographic Information System (GIS) using landscape-level variables and with logistic regression and Akaike's Information Criterion using site-level variables. The best-fitting site-level model for adults/juveniles included % CWD. The best-fitting model for …
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An assessment of coping strategies in the marketing of produce by street vendors
… environmental variables on small mammal. Akaike's information criterion (AIC) was used to assess the best model that explained variation in species richness, diversity and abundance. Model has shown that variation small mammal species richness and diversity was attributed to rockiness of …
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Habitat Associations Of Stream-Dwelling Salamanders At Multiple Spatial Scales In Central Kentucky Headwaters.
… runs, riffles, and pools). I used second order Akaike's Information Criterion (AIC<em>c<em>) model selection to predict patterns of presence and abundance throughout headwater reaches. Fine-scale abiotic habitat conditions influenced habitat associations and distribution patterns at larger …
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Modeling the impact of gypsy moth defoliation in individual tree mortality and basal area growth of northern hardwoods of central Pennsylvania
… of the species to an R value (a derivation of Akaike's information criterion) of .613 for white oak. The inclusion of defoliation in the models had a varied effect. For four of the species percent defoliation was not significant. For hickory and white oak respectively, percent defoliation …
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Habitat Mapping and Predator-Prey Dynamics in Ohio Resevoirs
… in some reservoirs, we used spatially explicit information about temperature, prey availability, depth, slope, and substrate to predict saugeye habitat use. Using telemetry we mapped saugeye locations to assess factors that influence saugeye habitat use. Saugeye were tagged with a radio tag for …
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Polynomial system identification modeling and adaptive model predictive control of arterial oxygen saturation in premature infants
… also shown that selecting a model based off the Akaike's Information Criterion was preferred in picking a model from a collection of identified models. With a singular winning model from the four best performing models, an adaptive model predictive controller (AMPC) was designed to adhere to …
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Contributions to the mathematical theory of epidemic dynamics
… of each model/data set combination using Akaike's Information Criterion (AIC). Model selection results are not consistent between data sets and no universal model emerges. This conclusion raises questions about the rational of invoking popular epidemic models in attempts to explain or …
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Mixed Mode Latent Class Clustering: An Examination of Fit Index Performance for Identifying Latent Classes
… distributed. The fit indices examined were Akaike's Information Criterion (AIC), Bayesian Information Criterion (BIC), sample size-adjusted Bayesian Information Criterion (SSBIC), Entropy, Integrated Classification Likelihood Criterion with Bayesian-type Approximation, Lo-Mendell-Rubin …
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Detection of hydrogen peroxide and ethanol in exhaled breath using biosensors: Considerations in standardizing breath collection
… under varied sampling conditions. The dearth of information on how sampling conditions affect the intrinsic properties of biomarkers in breath and the lack of standardization information hinder the use of breath monitoring in clinical use. The study aims to develop predictive models to …
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A Comparison of the Prediction Models for the Impact of Heat Wave on Total Mortality and Incidence of Heat-related Illness in the Republic of Korea
… Then, threshold temperature showing the minimum Akaike's information criterion and the relative risk (RR) above the threshold temperature were calculated. The adjusted R2 on the model of incidence of the heat-related illness with daily maximum temperature (0.836) was higher than that on the model …
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Distribution, Habitat Analysis, and Conservation of the Timber Rattlesnake in Virginia
… with logistic regression and geographic information systems (GIS) to model and map areas of western Virginia potentially containing timber rattlesnake basking habitat. Models were ranked using Akaike's Information Criterion (AIC) and were crossvalidated using the methods of Fielding and …
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Predicting Amphibian Occurrence Based on Wetland and Landscape Level Factors in Montana
… covariates. Logistic regression analysis with an information theoretic approach was used to select the best approximating model. Results indicate that habitat models including only wetland variables were not good predictors of presence for most amphibians. The landscape scale at which habitat …
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Predicting Amphibian Occurrence Based on Wetland and Landscape Level Factors in Montana
… covariates. Logistic regression analysis with an information theoretic approach was used to select the best approximating model. Results indicate that habitat models including only wetland variables were not good predictors of presence for most amphibians. The landscape scale at which habitat …
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Gopher tortoise nest-site selection at burrows and the influence of nest environment on hatching success
… candidate models and compared models with Akaike's Information Criterion adjusted for small sample sizes. The top three models identified canopy cover and understory vegetation cover as the only significant predictors of nest presence at burrows, with tortoises in the sites nesting at …
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Uncertainty-Integrated Surrogate Modeling for Complex System Optimization
… error, the cross-validation error, and the Akaike's information criterion however provide limited (often inadequate) information regarding the accuracy of the final surrogate model while other more effective dedicated error measures are tailored towards only one class of surrogate models. …
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Band-Recovery Analysis and Survival Estimates for South Dakota Giant Canada Goose Populations
… estimates were compared using Program CONTRAST. Akaike's Information Criterion was used to select the most appropriate model. Pooled estimates (i.e., ages and sexes combined) of survival (± SE) for normal, wild (status 3) Canada goose flocks were 91.6 ± 19.6% (1967-76) and 68.6 ± 4.9 % (1977-86) …
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Evaluating Population-Habitat Relationships of Forest Breeding Birds at Multiple Spatial and Temporal Scales Using Forest Inventory and Analysis Data
Multiple studies have documented declines of forest breeding birds in the eastern United States, but the temporal and spatial scales of most studies limit inference regarding large scale bird-habitat trends. A potential solution to this challenge is integrating existing long-term datasets such as …
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