Results 11 to 20 of about 101,405 (230)

Minimum Message Length Inference of the Exponential Distribution with Type I Censoring

open access: yesEntropy, 2021
Data with censoring is common in many areas of science and the associated statistical models are generally estimated with the method of maximum likelihood combined with a model selection criterion such as Akaike’s information criterion.
Enes Makalic, Daniel Francis Schmidt
doaj   +1 more source

Minimization of Akaike's information criterion in linear regression analysis via mixed integer nonlinear program [PDF]

open access: yesOptim. Methods Softw., 2016
Akaike's information criterion (AIC) is a measure of evaluating statistical models for a given data set. We can determine the best statistical model for a particular data set by finding the model with the smallest AIC value. Since there are exponentially
K. Kimura, Hayato Waki
semanticscholar   +1 more source

Correction to: A cross-validation-based approach for delimiting reliable home range estimates

open access: yesMovement Ecology, 2017
The results presented throughout were based on an alternative Information Criterion (IC) equation that did not appear in the original article. The alternate formulation (akin to the Bayesian Information Criterion, rather than Akaike’s Information ...
Eric R. Dougherty   +3 more
doaj   +1 more source

Forecasting sugar sales at the Mosul factory using the Akaike standard [PDF]

open access: yesمجلة التربية والعلم, 1999
: In this paper we display and compare several multivariate models for some multiple time series data. The models all come from the vector autoregressive moving average class so that comparisons between them can easily be made using criteria such as ...
Manahil Abdel Ahad
doaj   +1 more source

Variable Selection in Multivariable Regression Using SAS/IML

open access: yesJournal of Statistical Software, 2002
This paper introduces a SAS/IML program to select among the multivariate model candidates based on a few well-known multivariate model selection criteria. Stepwise regression and all-possible-regression are considered.
Ali A. Al-Subaihi
doaj   +1 more source

A matched-filter technique with an objective threshold

open access: yesScientific Reports, 2022
We propose an objective threshold determination method for detecting outliers from the empirical distribution of cross-correlation coefficients among seismic waveforms.
Shiro Hirano   +2 more
doaj   +1 more source

Modeling Socioeconomic Determinants of Building Fires through Backward Elimination by Robust Final Prediction Error Criterion

open access: yesAxioms, 2023
Fires in buildings are significant public safety hazards and can result in fatalities and substantial financial losses. Studies have shown that the socioeconomic makeup of a region can impact the occurrence of building fires.
Albertus Untadi   +3 more
doaj   +1 more source

Chanter model: nonlinear modeling of the fruit growth of cocoa [PDF]

open access: yesCiência Rural
: The growth of plants and animals can be described through a growth curve. This curve is given by the equation of a nonlinear model, such as the Logistic model and the Gompertz model. The objective of this study was to adjust the Chanter model, as well
Pollyane Vieira da Silva   +1 more
doaj   +2 more sources

Statistical modeling of annual maximum precipitation in Oued El Gourzi Watershed, Algeria

open access: yesApplied Water Science, 2020
This study aims to model annual maximum precipitation based on extreme value theory for the Oued El Gourzi Watershed, Algeria. A generalized extreme value (GEV) distribution was used to determine the probability distribution of extreme values and their ...
Nassim Bella, Hadda Dridi, Mahdi Kalla
doaj   +1 more source

Cubic-spline interpolation to estimate effects of inbreeding on milk yield in first lactation Holstein cows

open access: yesGenetics and Molecular Biology, 2011
Milk yield records (305d, 2X, actual milk yield) of 123,639 registered first lactation Holstein cows were used to compare linear regression (y = β0 + β1X + e) ,quadratic regression, (y = β0 + β1X + β2X2 + e) cubic regression (y =
Makram J. Geha   +2 more
doaj   +1 more source

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