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Showing 1 to 20 of 45 for “"Akaike Information Criterion"”.
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Parametric survival models with interval censored data in determining prognostic factors of patients of lung cancer
… and number of sample sizes. Besides, Akaike Information Criterion (AIC), Bayesian Information Criterion (BIC), Corrected Akaike Information Criterion (AICC) been evaluated in finding the best fit model towards the survival time of lung cancer. Thus, the exponential model was found to …
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Estimating stochastic volatility models with student-t distributed errors
… to determine the best performing model was the Akaike information criterion (AIC).
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Minimum description complexity
… data. The critical task is the choice of a criterion for model set comparison. Pioneer information theoretic based approaches to this problem are Akaike information criterion (AIC) and different forms of minimum description length (MDL). The prior assumption in these methods is that the …
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Multilevel modelling of determinants of contraceptive method choice among women in South Africa
… nal model was selected based on Watanabe{Akaike information criterion (WAIC), which has been shown to outperform conventional information-criterion such as DIC. The results established that an individual woman's choice of contraception is a function of both individual characteristics and …
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Dimensionality reduction in the control of quasi-static force production tasks in humans
… factorization (NMF) subjected to a generalized Akaike information criterion (AIC) to serve as a quality of fit estimator. These are used to group the muscle activity of individuals during quasi-static force production tasks to synthesize reduced-order models that account for 90\% of the muscle …
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An investigation into Functional Linear Regression Modeling
… known as FDA", refers to the analysis of information on curves of functions. Key aspects of FDA include the choice of smoothing techniques, data reduction, model evaluation, functional linear modeling and forecasting methods. FDA is applicable in numerous applications such as Bioscience, …
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Development of Enhanced Pavement Deterioration Curves
… deterioration of a pavement section by using the Akaike Information Criterion (AIC). The AIC method suggests that a model that includes the MSI is at least 10^21 times more likely to be closer to the true model than a model that does not include the MSI. The developed models display the average …
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Forecasting the S&P 500 index using time series analysis and simulation methods
… Mean Square Error (RMSE), Absolute Error (MAE), Akaike information criterion (AIC) and Schwartz Bayesian criterion (SBC). But most importantly, the primary forecasting measure includes MAE and Mean Absolute Percentage Error (MAPE), which uses the forecasted value and the actual S&P 500 level as …
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Performing Network Level Crash Evaluation Using Skid Resistance
… data used in the study included the following information obtained from Virginia Department of Transportation (VDOT) records: 2010 to 2012 crash data, 2010 to 2012 AADT, and horizontal radius of curvature (CV). Additionally, tire-pavement friction or skid resistance was measured using a …
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Application of a New Tree-Ring Based Drought Reconstruction Method at Multiple Forest Sites Across Indiana, U.S.A.
… root-mean-square error (RMSE), F statistic, and Akaike Information Criterion (AIC). Summer (June–August; JJA) Palmer Drought Severity Index (PDSI) was the best predicated climate variable, thus two separate models (SS and MCOS) were created at each site for reconstruction. The MCOS outperformed …
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Relative importance of Conservation Reserve Programs to mayfly, stonefly, and caddisfly species richness in the Kaskaskia River basin of Illinois
… 2013-2015. Seventy-six variables from geographic information system (GIS) and in-situ generated variables were used in an Akaike information criterion analysis (AICc) to construct a set of 13 best regression models accounting for variance in EPT basin richness. AICc importance values and …
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Topics In Time Series Analysis And Forecasting
… of the commonly used selection criteria, Akaike Information Criterion (AIC) and Bayesian Information Criterion (BIC), are discussed. In the finite case, the study is limited to the two sample problem. The exact probability of selection is obtained for finite samples. The risk of each …
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Complexity analysis of lumped parameter models : development of complexity reduction algorithm
… varying complexity and the results by using the Akaike Information Criterion (AIC) and Bayesian Information Criterion (BIC) as an indicator for model selection have been shown.
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Time Series Forecasting Modeling for Demand of Emergency Department
… 구축하였다. 그리고, 각 모델의 적합도 평가를 위해 1) 잔차분석, 2) AIC(Akaike Information Criterion), BIC(Bayesian Information Criterion) 값을 비교•평가하였고, MAPE(Mean Absoulute Percentage Error)를 통해 각 모델의 예측정확도를 평가하였다. 구축한 세 종류의 예측모델을 비교한 결과, 다변량 Seasonal ARIMA 모델이 응급의료센터 일일 내원 환자 수 예측에 가장 적합함을 알 수 있었고(AIC : 6703.7, BIC : …
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Impedance spectroscopy for the characterization of swine reproductive states
… regressions which were reduced by a stepwise Akaike Information Criterion. The data set for the fertility model included 250 frequency sweeps across 85 animals, for farrowing there were 921 observations across 421 animals, and for the pregnancy data set there were 395 observations across 227 …
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Variants of compound models and their application to citation analysis
… techniques based on log-likelihood methods, Akaike Information Criterion (AIC) and Bayesian Information Criterion (BIC). The suitability of the models is also assessed using two diagrammatic methods, randomised quantile residual plots and Christmas tree plots. The Christmas tree plots clearly …
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Comparison of parametric models using right censored data for breast cancer patients
… based on the value obtained from corrected Akaike Information Criterion (AICc), Bayesian Information Criterion (BIC) and mean square error (MSE). Based on the model selections, the log-logistic model found to be the best model with smallest value in AICc, BIC, and MSE. Besides that, a …
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Cognitive Diagnostic Model, a Simulated-Based Study: Understanding Compensatory Reparameterized Unified Model (CRUM)
… (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 probabilistic models. These models allow the mapping …
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Nesting Ecology Of Red-Headed Woodpeckers (Melanerpes Erythrocephalus) In Central Minnesota
… in dead branches, as supported by lowest Akaike information criterion (AIC) scores among candidate models. Of nests found during the egg laying stage, 100% experienced some amount of brood reduction. On average, nest contents were reduced by 48.1% between egg laying and fledging with …
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