نتایج جستجو برای: reml according to akaike and bayesian information criteria
تعداد نتایج: 18370913 فیلتر نتایج به سال:
We use convolutional neural networks for model identification in ARMA time series models, where our are trained on synthetic data with known ground truths. Comparing the performance of these traditional likelihood-based methods, particular Akaike and Bayesian Information Criteria, we able to show that when it comes statistical inference orders, can significantly outperform methods terms accurac...
short story as an important literary genre in the recent decade is focused by many of young writers and literary critical with searching structure, content , artistic techniques and cognitive phenomenon of these works , we can show quantity of using some parts of storied literature from new literal techniques of the word and also we can show the usage of native, cultural and social foundation...
conclusions the use of smoothing methods helps us to eliminate non-linear effects but it is more appropriate to use cox proportional hazards model in medical data because of its’ ease of interpretation and capability of modeling both continuous and discrete covariates. also, cox proportional hazards model and smoothing methods analysis identified that age at diagnosis and tumor size were indepe...
cement is an essential ingredient in the concrete buildings. for production of cement considerable amount of fossil fuel and electrical energy is consumed. on the other hand for generating one tone of portland cement, nearly one ton of carbon dioxide is released. it shows that 7 percent of the total released carbon dioxide in the world relates to the cement industry. considering ecological issu...
The purpose of this study is to investigate and analyze factors affecting the energy intensity in provinces of Iran with emphasis on information and communications technology (ICT) index, during the period from 2010-2015. Weighted Average Least Square (WALS) method and information criteria have been applied to select the model; so that, based on WALS method, six variables among various effectiv...
Membrane proteins move in heterogeneous environments with spatially (sometimes temporally) varying friction and with biochemical interactions with various partners. It is important to reliably distinguish different modes of motion to improve our knowledge of the membrane architecture and to understand the nature of interactions between membrane proteins and their environments. Here, we present ...
the present paper deals with criminal issues. for example, legal injunction on the necessity of returning a deposit has a legal nature and legal injunction on the punishment of those who breach the trust has a criminal nature. existing social issues are the basis of classification of some instances into the issue, some of which are based on variation and others on quality. therefore, the motiva...
Submit Manuscript | http://medcraveonline.com Abbreviations: ECoG: Electro Cortico Graphic; BdSEM: Bayesian Differential Structural Equation Modeling; ODEs: Ordinary Differential Equations; ROI: Region Of Interest; fMRI: functional Magnetic Resonance Imaging; MCMC: Markov Chain Monte Carlo; FDA: Functional Data Analysis; STG: Superior Temporal Gyrus; PostSTG: Posterior STG; MidSTG: Middle STG; ...
The trend analysis and GARCH model for COVID-19 pandemic spread between FCT/Lagos the National Weekly confirmed cases were carried out using statistical software Minitab17 Gretl. Four models behavior considered, which are linear, quadratic, cubic quartic trends with respect to R-square value, Adjusted Analysis of Variance (ANOVA) p-value estimated coefficients p-values. In addition, GARCH(0,1),...
The paper obtains analytical results for the asymptotic properties of Model Selection Criteria – widely used in practice a general family hidden Markov models (HMMs), thereby substantially extending related theory beyond typical ‘i.i.d.-like’ model structures and filling an important gap relevant literature. In particular, we look at Bayesian Akaike Information (BIC AIC) evidence. setting neste...
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