Results 11 to 20 of about 26,781 (264)
Heterogeneity estimates in a biased world [PDF]
PLOS ONE, 2022 Meta-analyses typically quantify heterogeneity of results, thus providing information about the consistency of the investigated effect across studies. Numerous heterogeneity estimators have been devised. Past evaluations of their performance typically presumed lack of bias in the set of studies being meta-analysed, which is often unrealistic.
Johannes Hönekopp, Audrey Helen Linden
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The minimizer Jaccard estimator is biased and inconsistent [PDF]
Bioinformatics, 2022 AbstractMotivationSketching is now widely used in bioinformatics to reduce data size and increase data processing speed. Sketching approaches entice with improved scalability but also carry the danger of decreased accuracy and added bias. In this article, we investigate the minimizer sketch and its use to estimate the Jaccard similarity between two ...
Mahdi Belbasi +4 more
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Axioms, 2022 The Poisson maximum likelihood (PML) is used to estimate the coefficients of the Poisson regression model (PRM). Since the resulting estimators are sensitive to outliers, different studies have provided robust Poisson regression estimators to alleviate ...
Issam Dawoud +3 more
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Another Look at Partitioned Ridge Regression Estimators [PDF]
The Egyptian Statistical Journal, 1992 Several biased estimators have been proposed as alternatives to the Least squares estimator when multicollinearity is present in the multiple linear regression model.
Linda Abskharoon, Mahmoud Mahmoud
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A new biased regression estimator: Theory, simulation and application
Scientific African, 2022 The linear regression model explores the relationship between a response variable and one or more independent variables. The ordinary least squared estimator is usually adopted to estimate the parameters of the model when the independent variables are ...
Issam Dawoud +2 more
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Biased Estimators on Quotient Spaces [PDF]
, 2015 Usual statistics are defined, studied and implemented on Euclidean spaces. But what about statistics on other mathematical spaces, like manifolds with additional properties: Lie groups, Quotient spaces, Stratified spaces etc. How can we describe the interaction between statistics and geometry?
Miolane, Nina, Pennec, Xavier
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E-Jurnal Matematika, 2014 The presence of outliers in observation can result in biased in parameter estimation using ordinary least square (OLS). Robust regression MM-estimator is one of the estimations methods that able to obtain a robust estimator against outliers.
NI PUTU NIA IRFAGUTAMI +2 more
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Biased Estimations of Variance and Skewness [PDF]
The Astrophysical Journal, 1999 28 pages of text, 9 ps figures, submitted to ...
Hui, Lam, Gaztanaga, Enrique
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Sakarya Üniversitesi Fen Bilimleri Enstitüsü Dergisi, 2018 The useof biased estimation techniques is inevitable in connection withmulticollinearity. Two stage ridge estimator is a pioneer biased estimatorwhich is use to recover the problems that are originated from themulticollinearity.
Selma Toker, Nimet Özbay
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Uniform Minimum Variance Unbiased Estimator of Fractal Dimension
Recoletos Multidisciplinary Research Journal, 2021 The paper introduced the concept of a fractal distribution using a power-law distribution. It proceeds to determining the relationship between fractal and exponential distribution using a logarithmic transformation of a fractal random variable which ...
Zeny L. Maureal +2 more
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