Results 31 to 40 of about 353,670 (291)
AlgorithmsPoisson regression is used to model count response variables. The method has a strict assumption that the mean and variance of the response variable are equal, while, in practice, the case of overdispersion is common.
Rasha A. Farghali +4 more
doaj +1 more source
Robust weighted ridge regression based on S – estimator
African Scientific Reports, 2023 Ordinary least squares (OLS) estimator performance is seriously threatened by correlated regressors often called multicollinearity. Multicollinearity is a situation when there is strong relationship between any two exogenous variables.
Taiwo Stephen Fayose +3 more
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Statistical estimation in the proportional hazards model with risk set sampling [PDF]
, 2004 Thomas' partial likelihood estimator of regression parameters is widely used in the analysis of nested case-control data with Cox's model. This paper proposes a new estimator of the regression parameters, which is consistent and asymptotically normal ...
Chen, Kani
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Local regression distribution estimators [PDF]
Journal of EconometricsThis paper investigates the large sample properties of local regression distribution estimators, which include a class of boundary adaptive density estimators as a prime example. First, we establish a pointwise Gaussian large sample distributional approximation in a unified way, allowing for both boundary and interior evaluation points simultaneously ...
Cattaneo, Matias D +2 more
openaire +4 more sources
ESTIMATION OF JUMP REGRESSION FUNCTION [PDF]
Bulletin of informatics and cybernetics, 1991 Summary: \textit{P. Qui} [Syst. Sci. Math. Sci. 4, No. 1, 1-13 (1991)] discussed the estimation problem of jump regression functions which were divided into eight types. \(L^ 2\)-consistent estimates of two types of them were obtained. This paper studies further this topics and obtains \(L^ 2\)- consistent estimates of the other four types.
Qiu, Peihua +2 more
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F1000Research, 2021 Background: In the linear regression model, the ordinary least square (OLS) estimator performance drops when multicollinearity is present. According to the Gauss-Markov theorem, the estimator remains unbiased when there is multicollinearity, but the ...
BENEDICTA Aladeitan +4 more
doaj +1 more source
HAC ESTIMATION BY AUTOMATED REGRESSION [PDF]
Econometric Theory, 2005 Summary: A simple regression approach to heteroskedastic and autocorrelation consistent (HAC) and long run variance (LRV) estimation is suggested. The method exploits the fact that the quantities of interest relate to only one point of the spectrum (the origin).
openaire +2 more sources
Confidence intervals in regression centred on the SCAD estimator
, 2012 Consider a linear regression model. Fan and Li (2001) describe the smoothly clipped absolute deviation (SCAD) point estimator of the regression parameter vector.
Farchione, Davide, Kabaila, Paul
core +1 more source
Partial AUC Estimation and Regression
Biometrics, 2003 Summary. Accurate diagnosis of disease is a critical part of health care. New diagnostic and screening tests must be evaluated based on their abilities to discriminate diseased from nondiseased states. The partial area under the receiver operating characteristic (ROC) curve is a measure of diagnostic test accuracy.
Dodd, Lori E., Pepe, Margaret S.
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Pediatric Blood &Cancer, EarlyView.ABSTRACT Purpose Metabolic syndrome (MetS) is a common complication in survivors of childhood acute lymphoblastic and myeloid leukemia (AL), and a major risk factor for premature cardiovascular disease, type‐2‐diabetes, and metabolic dysfunction‐associated steatotic liver disease (MASLD).
Visentin Sandrine +10 more
wiley +1 more source