Results 21 to 30 of about 137 (88)
Regression(s) discontinuity: Using bootstrap aggregation to yield estimates of RD treatment effects
Journal of Causal InferenceFollowing Efron (2014), we propose an algorithm for estimating treatment effects for use by researchers employing a regression-discontinuity (RD) design.
Long Mark C., Rooklyn Jordan
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A matrix approach to determine optimal predictors in a constrained linear mixed model
Open MathematicsFor a general vector of all unknown vectors in a constrained linear mixed model (CLMM), this study compared the dispersion matrices of the best linear unbiased predictors with any symmetric matrix for determining the optimality of predictors among others.
Güler Nesrin, Büyükkaya Melek Eriş
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A new stochastic mixed ridge estimator in linear regression model
, 2010 Ordinary ridge estimator, Ordinary mixed estimator, Stochastic mixed ridge estimator, Mean squared error matrix, 62J05, 62F30,
Hu Yang, Yalian Li
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A generalized Gompertz promotion time cure model and its fitness to cancer data
HeliyonThe cure models based on standard distributions like exponential, Weibull, lognormal, Gompertz, gamma, are often used to analyze survival data from cancer clinical trials with long-term survivors.
Ayesha Tahira, Muhammad Yameen Danish
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Bayesian regression analysis with linked data using mixture normal distributions
Record linkage, Bayesian regression, Mixture distribution, 62J05, 14M99,
Afshin Fallah, Mohsen Mohammadzadeh
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Bootstrap for estimating the MSE of the Spatial EBLUP
, 2009 Spatial correlation, Simultaneously autoregressive process, Small area estimation, Parametric bootstrap, Non-parametric bootstrap, 62D05, 62J05,
SALVATI, NICOLA +5 more
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Bayesian reference prior analysis for polynomial calibration models
Clearance circle bioassay, inverse prediction, Noninformative prior, polynomial regression, 62F15, 62F25, 62J05, 62P10,
Keying Ye, Daniel Eno
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InPrimeSmall area estimation (SAE) is an important technique for estimating parameters in regions or sub-populations with limited sample sizes, particularly when direct estimators are inadequate in capturing area-specific information. The Empirical Best Linear
Alya Safira Irtiqa Miolo +2 more
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A note on the robust interpretation of regression coefficients
Least squares, log normal distribution, parameter of interest, parameter stability, 62J05,
D. Cox, M. Wong
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New Versions of Liu-type Estimator in Weighted and non-weighted Mixed Regression Model
مجلة بغداد للعلوم, 2020 This paper considers and proposes new estimators that depend on the sample and on prior information in the case that they either are equally or are not equally important in the model.
Mustafa Ismaeel Naif Alheety
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