Results 11 to 20 of about 790,504 (291)
THE USE OF PENALIZED WEIGHTED LEAST SQUARE TO OVERCOME CORRELATIONS BETWEEN TWO RESPONSES
Barekeng, 2022 The non-parametric regression model can consider two correlated responses. However, for these conditions, we cannot use the usual estimation process because there are violations of assumptions.
Anna Islamiyati +6 more
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Results in Physics, 2022 In recent years, statisticians have grown increasingly engaged in research of mixture models, particularly in the previous decade, without adequate consideration of challenge of estimating the parameters of mixture models from a frequentist perspective ...
Showkat Ahmad Lone +3 more
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Results in Physics, 2022 Statistical models perform an essential role in data analysis, and statisticians are constantly looking for novel or pretty recent statistical models to fit data sets across a broad variety of fields.
Anum Shafiq +2 more
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Communications, 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.
Ivana Pobocikova, Zuzana Sedliackova
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MENGATASI HETEROSKEDASTISITAS PADA REGRESI DENGAN MENGGUNAKAN WEIGHTED LEAST SQUARE
E-Jurnal Matematika, 2015 In the regression analysis we need a method to estimate parameters to fulfill the BLUE characteristic. There are assumptions that must be fulfilled homoscedasticity one of which is a condition in which the assumption of error variance is constant (same),
PUTU AYU MAZIYYA +2 more
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Urban Commute Travel Distances in Tehran, Istanbul, and Cairo: Weighted Least Square Models
Urban Science, 2020 A very large part of the literature on urban commute travels is related to high-income countries. The determinants of urban commute trip distances are not clear in the Middle East and North Africa (MENA); thus, this study attempts to shed light on this ...
Houshmand Masoumi
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Frontiers in Human Neuroscience, 2023 IntroductionMotor Brain–Computer Interfaces (BCIs) create new communication pathways between the brain and external effectors for patients with severe motor impairments. Control of complex effectors such as robotic arms or exoskeletons is generally based
Alexandre Moly +3 more
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Improving weighted least squares inference [PDF]
Econometrics and Statistics, 2016 In the presence of conditional heteroskedasticity, inference about the coefficients in a linear regression model these days is typically based on the ordinary least squares estimator in conjunction with using heteroskedasticity consistent standard errors. Similarly, even when the true form of heteroskedasticity is unknown, heteroskedasticity consistent
DiCiccio, Cyrus J +2 more
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Weighted-Average Least Squares (WALS): Confidence and Prediction Intervals [PDF]
Computational Economics, 2021 AbstractWe consider inference for linear regression models estimated by weighted-average least squares (WALS), a frequentist model averaging approach with a Bayesian flavor. We propose a new simulation method that yields re-centered confidence and prediction intervals by exploiting the bias-corrected posterior mean as a frequentist estimator of a ...
De Luca G., Magnus J., Peracchi F.
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Makara Journal of Health Research, 2016 The Province of East Java has its own characteristics that differentiate it from any other regions. Dissimilarities in characteristics of a region may encompass issues such as social, economic, cultural, parenting, education, and the environment, so as ...
Ida Mariati Hutabarat +3 more
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