نتایج جستجو برای: linear regression and u

تعداد نتایج: 16937733  

Journal: :آب و خاک 0
یاسر استواری کامران عسگری حمیدرضا متقیان

introduction: estimation of cation exchange capacity (cec) with reliable soil properties can save time and cost. pedotransfer function (ptf) is a common method in estimating certain soil properties (e.g. cec) that has been wieldy used for many years. one of the common techniques that have been used to develop ptfs is multiple linear regressions. in this method, all easily obtained soil properti...

Journal: :Journal of the Practice of Cardiovascular Sciences 2018

Journal: :Neural Network World 2014

Journal: :Journal of the American Statistical Association 2021

We study a regression problem where for some part of the data we observe both label variable (Y) and predictors (X), while other only are given. Such arises, example, when observations costly may require skilled human agent. When conditional expectation E[Y|X] is not exactly linear, one can consider best linear approximation to expectation, which be estimated consistently by least-square estima...

پایان نامه :وزارت علوم، تحقیقات و فناوری - دانشگاه علامه طباطبایی - دانشکده علوم تربیتی و روانشناسی 1393

the purpose of this study was to investigate the relationship between teachers’ class management practices with students’ self- regulated learning and academic self-efficacy. in this study relating to the management class, three dimensions, (training management, people management and behavior management) and three style (interventionist, interactionist and non-interventionist) was considered. r...

Journal: :American Journal of Orthodontics and Dentofacial Orthopedics 2016

Journal: :Electronic Journal of Statistics 2015

Journal: :Journal of Clinical Epidemiology 2018

Journal: :IEEE Access 2021

Tensor regression is an important and useful tool for analyzing multidimensional array data. To deal with high dimensionality, CANDECOMP/PARAFAC (CP) low-rank constraints are often imposed on the coefficient tensor parameter in (penalized) loss functions. However, besides well-known non-identifiability issue of CP parameters, we demonstrate that corresponding optimization may not have any attai...

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