Statistical demand functions for food in the USA and The Netherlands. [PDF]
Crombrugghe, Dennis de +2 more
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Investigating the factor structure of the Montreal Cognitive Assessment: a qualitative review. [PDF]
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A Novel Alpha-Power X Family: A Flexible Framework for Distribution Generation with Focus on the Half-Logistic Model. [PDF]
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Analytical evaluation of the performances of point-of-care and benchtop procalcitonin assays in comparison with the B⋅R⋅A⋅H⋅M⋅S PCT sensitive KRYPTOR assay. [PDF]
He R, Sun X, Su L, Zhu T, Wu J, Hou Q.
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Plate Clearing and Body Mass Index: A Meta-Analysis. [PDF]
Meule A, Dietlmeier L, Kolar DR.
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Determination of the best geographic weighted function and estimation of spatio temporal model - Geographically weighted panel regression using weighted least square. [PDF]
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Lossless Image Compression Using Context-Dependent Linear Prediction Based on Mean Absolute Error Minimization. [PDF]
Ulacha G, Łazoryszczak M.
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Study of state estimation using weighted-least-squares method (WLS)
2016 International Conference on Electrical Sciences and Technologies in Maghreb (CISTEM), 2016Power state estimation constitutes the core of the on-line security analysis function. The challenge number one of a state estimator is to provide the optimal estimates of system state with minimum of measurement data. This paper describes weighted least squares state estimation method and investigates how the efficiency of WLS state estimation changes
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Weighted Least-Squares by Bounding-Box (B-WLS) for NLOS Mitigation of Indoor Localization
2013 IEEE 77th Vehicular Technology Conference (VTC Spring), 2013The major problem of indoor localization is the imprecise ranging, which directly degrades the localization accuracy. The ordinary least-squares (OLS) estimator is able to handle unbiased and homoscedastic ranging errors, but incapable for the bias and heteroscedasticity as characterized by real-world ranging of indoor scenarios, especially the non ...
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