Results 11 to 20 of about 172,938 (287)
A Simulation Study of Some Restricted Estimators in Restricted Linear Regression Model
Tikrit Journal of Pure Science, 2021 When the multicollinearity exists in linear regression model, the result of the Restricted Least Square estimator (RLS) is unstable. So that, more researchers proposed the restricted biased estimators to improve the efficiency of RLS estimator.
Bader Aboud Mohammad +1 more
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Biased proportional hazard regression estimator in the existence of collinearity
Heliyon, 2023 This paper proposed a new biased proportional hazard regression (PHR) estimator which is the combination of elastic net proportional hazard regression (ENPHR) and principal components proportional hazard regression (PCPHR) estimator.
Anu Sirohi +3 more
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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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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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Biases in fiscal multiplier estimates [PDF]
European Journal of Political Economy, 2019 The "true" size of fiscal multipliers is widely debated by economists and policy makers as large (small) multipliers provide arguments to expand (cut) public spending. Within a meta-analytical framework, we ask whether the large observed variance in multiplier estimates can be explained by the national imprint and various author incentives.
Asatryan, Zareh +3 more
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Assortative Mating Biases Marker-based Heritability Estimators [PDF]
Nature Communications, 2021 AbstractMany complex traits are subject to assortative mating (AM), with recent molecular genetic findings confirming longstanding theoretical predictions that AM alters genetic architecture by inducing long range dependence across causal variants. However, all marker-based heritability estimators assume mating is random.
Richard Border +7 more
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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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Comparing optimal convergence rate of stochastic mesh and least squares method for Bermudan option pricing [PDF]
, 2013 We analyze the stochastic mesh method (SMM) as well as the least squares method (LSM) commonly used for pricing Bermudan options using the standard two phase methodology.
Agarwal, Ankush, Juneja, Sandeep
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Biased goiter prevalence estimate
Indian Journal of Community Medicine, 2009 Sir, There are some basic queries related to the article ‘Prevalence of Goiter in Rural Area of Belgaum District, Karnataka’(1). In the introduction the authors should have made some mention of the magnitude of the problem in Karnataka from earlier studies or should have informed that no such study is available.
Soudarssanane M, Punithakumary P
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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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