Results 51 to 60 of about 6,070,042 (338)
Double F-Class Predictors in Linear Regression Models [PDF]
The Egyptian Statistical Journal, 1993 This article develops a family of biased predictors, namely the double f-Class, in the linear regression model. Employing the small disturbance approach, I study the bias and mean square error of the double f-Class predictor.
G. Ghazal
doaj +1 more source
Therapeutic Apheresis and Dialysis, EarlyView.ABSTRACT Introduction Peritoneal dialysis (PD) is an established home‐based kidney replacement therapy (KRT), but its uptake remains low in Japan. We evaluated whether individualized education in a dedicated outpatient clinic was associated with the initiation of PD.
Yasuko Ito +7 more
wiley +1 more source
Semiparametric linear regression with censored data and stochastic regressors [PDF]
, 1994 We propose three new estimation procedures in the linear regression model with randomly-right censored data when the distribution function of the error term is unspecified, regressors are stochastic and the distribution function of the censoring variable
Mora, Juan
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Neutrosophic Correlation and Simple Linear Regression [PDF]
Neutrosophic Sets and Systems, 2014 Since the world is full of indeterminacy, the neutrosophics found their place into contemporary research. The fundamental concepts of neutrosophic set, introduced by Smarandache.
A. A. Salama +2 more
doaj
Using Simulation In Teaching Simple Linear Regression [PDF]
مجلة جامعة الانبار للعلوم الصرفة, 2012 This paper aims to use simulation in teaching simple linear regression, computer stimulation can be used to teach complicated statistical concepts in linear regression more quickly and effectively than traditional lecture alone.
ALBRIA A., ISAM K. ALANI, AHMED H. ALANI
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Linear Regression Diagnostics [PDF]
, 1977 This paper attempts to provide the user of linear multiple regression with a battery of diagnostic tools to determine which, if any, data points have high leverage or influence on the estimation process and how these possibly discrepant data points differ from the patterns set by the majority of the data.
Welsch, Roy E., Kuh, Edwin
openaire +2 more sources
FEBS Letters, EarlyView.Ascidian Ciona larvae initially show strong clockwise tail twisting, which is largely corrected during development. However, a small residual twist remains. This study shows that organized helical myofibrils in tail muscles mechanically stabilize this residual asymmetry, preventing complete restoration of bilateral symmetry and revealing how embryos ...
Yuki S. Kogure +3 more
wiley +1 more source
Inverse Linear Regression in Machine Learning [PDF]
, 2017 A linear regression machine learning model derives the linear relationship between single or multiple features (put in the x-axis of a co-ordinate plane) and a single response (put in the y-axis of the co-ordinate plane) for a given set of observations ...
Subhradeep Biswas
core
Heavy-Tailed Linear Regression and K-Means
InformationMost standard machine learning algorithms are formulated with the implicit assumption that empirical data are “well-behaved”. In this work, we consider heavy-tailed data whose underlying distribution does not necessarily possess finite moments.
Mario Sayde +2 more
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The human gut microbiome across the life course
FEBS Letters, EarlyView.Despite significant individual variation and continuous change throughout life, the human gut microbiome follows some life stage‐specific trends. This article provides a brief overview of how gut microbiome composition shifts across different phases of life. Created in BioRender. Özkurt, E. (2026) https://BioRender.com/8q4nrnc.
Alise J. Ponsero +4 more
wiley +1 more source