نتایج جستجو برای: multi factor models

تعداد نتایج: 2089299  

Journal: :Econometric Theory 2020

In recent years, the issue of energy consumption modeling techniques in the building sector has been widely considered by researchers and managers. Researches indicate that energy consumption in residential sector is one of the main parts of the total consumption. Moreover, the urban residence is supposed as a significant consumer of energy in every country and therefore a focus for energy cons...

Journal: :trauma monthly 0
batoul khoundabi department of biostatistics, faculty of medical sciences, tarbiat modares university, tehran, ir iran anoshirvan kazemnejad department of biostatistics, faculty of medical sciences, tarbiat modares university, tehran, ir iran; department of biostatistics, faculty of medical sciences, tarbiat modares university, tehran, ir iran. tel: +98-2182883875, fax: +98-2188006544 marjan mansourian department of epidemiology and biostatistics, school of public health , isfahan university of medical sciences, isfahan, ir iran seyed mohammadreza hashemian critical care, chronic respiratory disease research center (crdrc), national research institute of tuberculosis and lung diseases (nritld), masih daneshvari hospital, shahid beheshti university of medical sciences, tehran, ir iran mehdi kazempoor dizaji department of biostatistics, faculty of medical sciences, tarbiat modares university, tehran, ir iran

conclusions where there is a relationship between two longitudinal and survival responses, joint modeling can estimate it. background admission to the icu (intensive care unit) is frequently complicated by early aki (acute kidney injury). the development of aki following cardiac surgery is particularly associated with increased mortality and morbidity. according to akin (acute kidney injury net...

Journal: :Journal of Management Science and Engineering 2019

Journal: :Communications in Mathematical Sciences 2003

Journal: :Social Science Research Network 2021

Factor and sparse models are two widely used methods to impose a low-dimensional structure in high-dimension. They seemingly mutually exclusive. In this paper, we propose simple lifting method that combines the merits of these supervised learning methodology allows efficiently explore all information high-dimensional datasets. The is based on flexible model for panel data, called factor-augment...

Journal: :Arteriosclerosis, Thrombosis, and Vascular Biology 2010

Journal: :SSRN Electronic Journal 2020

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