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Gini estimation under infinite variance [PDF]
Physica A: Statistical Mechanics and its Applications, 2017 We study the problems related to the estimation of the Gini index in presence of a fat-tailed data generating process, i.e. one in the stable distribution class with finite mean but infinite variance (i.e. with tail index $\alpha\in(1,2)$). We show that,
Cirillo, Pasquale +2 more
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Helmert Variance Component Estimation for Multi-GNSS Relative Positioning [PDF]
Sensors, 2020 The Multi-constellation Global Navigation Satellite System (Multi-GNSS) has become the standard implementation of high accuracy positioning and navigation applications.
Mowen Li +5 more
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Enhancing precision in breast cancer diagnosis using Tailored Ratio-Integrated Variance Estimation using Neyman allocation Implementation(TRIVENI) [PDF]
Scientific ReportsIn stratified random sampling, precise variance estimation is essential especially when supplementary information is provided. This article presents an innovative Tailored Ratio-Integrated Variance Estimation employing Neyman Allocation Implementation ...
G. R. V. Triveni +2 more
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Variance Estimation for Logistic Regression in Case-cohort Studies [PDF]
Journal of EpidemiologyBackground: The logistic regression analysis proposed by Schouten et al (Stat Med. 1993;12:1733–1745) has been a standard method in current statistical analysis of case-cohort studies, and it enables effective estimation of risk ratios from selected ...
Hisashi Noma
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A BLUP derivation of the multivariate breeder's equation, with an elucidation of errors in BLUP variance estimates, and a prediction method for inbred populations [PDF]
Modeling, Identification and Control, 2022 The multivariate breeder's equation, Lande (1979), was derived from the Price equation Price (1970,1972). Here, I present a derivation based on the BLUP (best linear unbiased predictions) equations in matrix form, first given in summation form by ...
Rolf Ergon
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IEEE Access, 2021 Electrochemical impedance spectroscopy (EIS) is a widely used means for characterization of the dynamics of batteries and electrochemical energy conversion systems in general.
Gjorgji Nusev +4 more
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Interfaced variance estimators [PDF]
Proceedings of the 25th conference on Winter simulation - WSC '93, 1993 The sample variance, the usual estimator of the population variance, is biased when the data are autocorrelated. We investigate interlaced variance estimators, the average of k sample variances, each obtained using only every k/sup th/ observation; the sample variance is the special case of k=1. We analyze performance as a function of k for independent
D. Ceylan, B.W. Schmeiser
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Robust variance estimation and inference for causal effect estimation
Journal of Causal Inference, 2023 We present two novel approaches to variance estimation of semi-parametric efficient point estimators of the treatment-specific mean: (i) a robust approach that directly targets the variance of the influence function (IF) as a counterfactual mean outcome ...
Tran Linh +3 more
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A Comparison of Existing Bootstrap Algorithms for Multi-Stage Sampling Designs
Stats, 2022 Multi-stage sampling designs are often used in household surveys because a sampling frame of elements may not be available or for cost considerations when data collection involves face-to-face interviews. In this context, variance estimation is a complex
Sixia Chen +2 more
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Remote Sensing, 2021 Combining auxiliary variables and field inventory data of forest parameters using the model-based approach is frequently used to produce synthetic estimates for small areas.
Dylan Walshe +3 more
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