Results 41 to 50 of about 106,782 (140)
Técnicas de análises de séries temporais são utilizadas para caracterizar o comportamento de fenômenos naturais no domínio do tempo. Neste artigo, segundo a metodologia proposta por Box et al.
André Quintão de Almeida +3 more
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Application of Kumaraswamy Inverse Exponential Distribution to Real Lifetime Data [PDF]
In this research, the Kumaraswamy Inverse Exponential distribution being a generalization of the Inverse Exponential distribution was applied to six real lifetime datasets. The idea is to assess its flexibility and superiority over its sub-models. Some
Adejumo,, A. O. +2 more
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This study was carried out to determine the factors affecting the wet grass yield of pea plants grown in Turkey. Wet grass yield was predicted using parameters such as genotype, crude protein, crude ash, acid detergent fiber (ADF), and neutral detergent ...
Muhammed İkbal Çatal +2 more
doaj +1 more source
Evaluation of Growth in Broiler Chicken Using General Linear and Multi-Level Linear Growth Models
This study was conducted to compare the growth curve models using general linear and multi-level linear growth models and to determine the differences in growth in broiler chickens. For this purpose, a data set containing live weight records of 74 male
Volkan İZGİ, Suna AKKOL, Ahmet TEKELİ
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Robust estimation of the number of coherent radar signal sources using deep learning
A deep‐learning‐based approach to estimating the number of coherent sources in radar is presented. A proper estimate of the number of sources in a signal enables improved angle‐of‐arrival (AoA) estimation common in applications such as radar, sonar, and ...
John Rogers, John E. Ball, Ali C. Gurbuz
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Estimating the system order by subspace methods [PDF]
This paper discusses how to determine the order of a state-space model. To do so, we start by revising existing approaches and find in them three basic shortcomings: i) some of them have a poor performance in short samples, ii) most of them are not ...
Casals, José +2 more
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Takeuchi's Information Criteria as a form of Regularization
Takeuchi's Information Criteria (TIC) is a linearization of maximum likelihood estimator bias which shrinks the model parameters towards the maximum entropy distribution, even when the model is mis-specified.
Dixon, Matthew, Ward, Tyler
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The Combined Forecasts Using the Akaike Weights [PDF]
The focus in the paper is on the information criteria approach and especially the Akaike information criterion which is used to obtain the Akaike weights.
Mariola Pilatowska
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The Cox proportional hazards model is one of the most used models to analyze time-to-event outcomes. The decision on the most suitable model for those data is an essential analysis point.
Clarisse Houénafa Dete +4 more
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: The aim of this research was to evaluate the dimensional reduction of additive direct genetic covariance matrices in genetic evaluations of growth traits (range 100-730 days) in Simmental cattle using principal components, as well as to estimate (co ...
Rodrigo Reis Mota +6 more
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