Estimating the mean effect size in meta-analysis: Bias, precision, and mean squared error of different weighting methods [PDF]
Behavior Research Methods, Instruments, & Computers, 2003 Although use of the standardized mean difference in meta-analysis is appealing for several reasons, there are some drawbacks. In this article, we focus on the following problem: that a precision-weighted mean of the observed effect sizes results in a biased estimate of the mean standardized mean difference.
Wim, Van Den Noortgate, Patrick, Onghena
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Analysis of Mean Square Error (MSE) and Standard Deviation (StD) for different methods. [PDF]
, 2016 Analysis of Mean Square Error (MSE) and Standard Deviation (StD) for different methods.
Firdaus Afifi (3112299) +3 more
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On the influence of detection tests on deterministic parameters estimation [PDF]
, 2006 In non-linear estimation problems three distinct regions of operation can be observed. In the asymptotic region, the Mean Square Error (MSE) of Maximum Likelihood Estimators (MLE) is small and, in many cases,close to the Cramer-Rao bound (CRB).
Chaumette, Eric +5 more
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Assessment of spatial interpolation techniques for drought severity analysis in Salt Lake Basin [PDF]
Desert, 2021 Drought risk management requires drought monitoring which is usually carried out by applying different drought indices which are, effectively, continuous functions of precipitation and other meteorological data.
Amir R. Keshtkar, N. Moazami, A. Afzali
doaj +1 more source
The Least Square and the Weighted Least Square Methods for Estimating the Weibull Distribution Parameters - A Comparative Study [PDF]
, 2012 In this paper we study the performance of the least square method and the weighted least square method for estimating the Weibull distribution parameters. In engineering practice these methods are commonly used due to their simplicity.
Zuzana Sedliackova, Ivana Pobocikova
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Indicators for evaluation of model performance: irrigation hydraulics applications
Acta Scientiarum. Agronomy, 2022 Several mathematical models have been developed for applications in the hydraulics of irrigation systems and several performance indicators of these models are used and suggested by the literature. Thus, the objective of this work was to investigate the
Luiz Ricardo Sobenko +5 more
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PTRNet: Global Feature and Local Feature Encoding for Point Cloud Registration
Applied Sciences, 2022 Existing end-to-end cloud registration methods are often inefficient and susceptible to noise. We propose an end-to-end point cloud registration network model, Point Transformer for Registration Network (PTRNet), that considers local and global features ...
Cuixia Li +4 more
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Bootstrap Approximation to Prediction MSE for State-Space Models with Estimated Parameters [PDF]
, 2004 We propose a simple but general bootstrap method for estimating the Prediction Mean Square Error (PMSE) of the state vector predictors when the unknown model parameters are estimated from the observed series.
Pfeffermann, Danny, Tiller, Richard
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Leave-one-out cross validation mean square error values for model fits of the spiking nonlinearity. [PDF]
, 2021 The leave-one-out cross validation mean square error measures the accuracy of the model fit on data not used in the model fit, to avoid overfitting the data (see Materials and methods). (PNG)
Julia C. Gorman (11682060) +5 more
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Robust variance-constrained filtering for a class of nonlinear stochastic systems with missing measurements [PDF]
, 2010 The official published version of the article can be found at the link below.This paper is concerned with the robust filtering problem for a class of nonlinear stochastic systems with missing measurements and parameter uncertainties.
Zidong Wang +9 more
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