نتایج جستجو برای: akaike
تعداد نتایج: 2219 فیلتر نتایج به سال:
In recent years, various model selection procedures (criteria) that can be used for the selection of the best possible model have been proposed. The AIC criterion (Akaike, 1973) is considered the most popular tool for model selection although many competitors have been introduced over the years. One of the main drawbacks of AIC is its tendency to favor high dimensional models namely to overesti...
A statistical model of gear mesh vibration signals is proposed in this paper. It is seen that the sample mean is first removed from the gear mesh vibration signal, and the remaining signal components are approximated with a set of sinusoidal functions in the signal model. The signal model parameters can be estimated by the least-square method and the optimal model order is determined based on t...
Weconsider a variety of regressionmodeling strategies for analyzingobservational data associated with typical wildlife studies, including all subsets and stepwise regression, a single full model, and Akaike’s InformationCriterion (AIC)-basedmultimodel inference.Although there are advantages and disadvantages to each approach, we suggest that there is no unique best way to analyze data. Further,...
The weighing records of 18 crossbred females with average live weight of 14.7 ± 3.14 kg were analyzed to study the relationship of the growth of crossbred hair sheep with some zoometric measures. The weight was established and took the measures thoracic perimeter, cannon perimeter, body length, neck length, hip amplitude, ischial amplitude, withers height and croup height. All parameters were s...
Background and purpose: One of the major complications of diabetes is retinopathy which is a highly specific vascular complication of type I and II diabetes. This study aimed at investigating the factors influencing the diagnosis of retinopathy in patients with type II diabetes using Cox, parametric, exponential, weibull, Log normal, and Log-logistic models and comparing their functions Mat...
The aim of statistical modeling is to identify the model that most closely approximates the underlying process. Akaike information criterion (AIC) is commonly used for model selection but the precise value of AIC has no direct interpretation. In this paper we use a normalization of a difference of Akaike criteria in comparing between the two rival models under unified hybrid cens...
Background: Beta-thalassemia major is a very severe blood disease, its Clinical signs are premature and appear from 3 to 6 months of age. It is one of the most common monogenic diseases in the world and in Iran, and if it is not diagnosed and treated during the first years of life, it will lead to death. In this study, to check the factors affecting the survival of patients with beta-thalassemi...
BACKGROUND AND OBJECTIVES: The classification of marine animals as protected species makes data and information on them to be very important. Therefore, this led to the need to retrieve and understand the data on the event counts for stranded marine animals based on location emergence, number of individuals, behavior, and threats to their presence. Whales are g...
The epistemic weight of simplicity in science has, in the last fifteen years, been extensively discussed in the framework of statistical model comparison. This paper defends three theses: First, it juxtaposes Forster and Sober’s (1994, 2010) claims regarding the normative force of Akaike’s Theorem in statistical model analysis. Second, it elaborates the different targets of the various model co...
A two component parametric mixture is proposed to model survival after an invasive treatment, when patients may experience different hazards regimes: a risk of early mortality directly related to the treatment and/or the treated condition, and a risk of late death influenced by several exogenous factors. The parametric mixture is based on Weibull distributions for both components. Different set...
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