Results 11 to 20 of about 1,457,940 (269)
Single Imputation Methods and Confidence Intervals for the Gini Index
The problem of missing data is a common feature in any study, and a single imputation method is often applied to deal with this problem. The first contribution of this paper is to analyse the empirical performance of some traditional single imputation ...
Encarnación Álvarez-Verdejo +2 more
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Methods of variance component estimation
Estimation of variance components is a method often used in population genetics and applied in animal breeding. Even experienced population geneticists nowadays feel lost if confronted with the huge set of different methods of variance component ...
D. Rasch, O. Mašata
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Estimation of variance of complex estimator
There is not abstract.
Jurgita Čimžaitė +1 more
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Calibration weighting improves inference by adjusting for observed differences between the realized sample and the population. Unfortunately, a commonly-used linearization-based variance estimator often does not account for the increased efficiency ...
Bonnie E Shook-Sa +7 more
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Variance Estimation Using Randomized Response Technique
Variance estimation is a well-studied topic in survey sampling but not much work has been done in this area in the context of Randomized Response Technique (RRT) models.
Sat Gupta +2 more
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Noise Variance Estimation In Signal Processing [PDF]
We present a new method of estimating noise variance. The method is applicable for 1D and 2D signal processing. The essence of this method is estimation of the scatter of normally distributed data with high level of outliers. The method is applicable
Makovoz, David
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Asymptotic variances of subspace estimates [PDF]
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
CHIUSO, ALESSANDRO, PICCI, GIORGIO
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In response to the lack of specific demonstration and analysis of the research on the necessity of the Lie group strapdown inertial integrated navigation error model based on the Euler angle, two common integrated navigation systems, strapdown inertial ...
Leiyuan Qian +3 more
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Variance Function Estimation [PDF]
We develops a general theory for variance function estimation in regression. Most methods in common use are included in our development. The general qualitative conclusions are these. First, most variance function estimation procedures can be looked upon as regressions with responses' being transformations of absolute residuals from a preliminary fit ...
Davidian, M., Carroll, R.J.
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Variance estimation for a low-income proportion [PDF]
Proportions below a given fraction of a quantile of an income distribution are often estimated from survey data in poverty comparisons. We consider the estimation of the variance of such a proportion, estimated from Family Expenditure Survey data.
Beach +26 more
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