A note on multiple imputation for method of moments estimation [PDF]
, 2015 Multiple imputation is a popular imputation method for general purpose estimation. Rubin(1987) provided an easily applicable formula for the variance estimation of multiple imputation.
Kim, Jae Kwang +2 more
core +4 more sources
VARIANCE PREDICTION FOR POPULATION SIZE ESTIMATION
Image Analysis and Stereology, 2019 Design unbiased estimation of population size by stereological methods is an efficient alternative to automatic computer vision methods, which are generally biased.
Ana Isabel Gomez +2 more
doaj +1 more source
Cluster-Robust Variance Estimation for Dyadic Data [PDF]
, 2015 Dyadic data are common in the social sciences, although inference for such settings involves accounting for a complex clustering structure. Many analyses in the social sciences fail to account for the fact that multiple dyads share a member, and that ...
Aronow, Peter M. +2 more
core +3 more sources
Minority Challenge of Majority Actions in a Close Corporation in Italy and the United States [PDF]
, 1959 This paper addresses the problem of segmenting a time-series with respect to changes in the mean value or in the variance. The first case is when the time data is modeled as a sequence of independent and normal distributed random variables with unknown ...
Annergren, Mariette +2 more
core +2 more sources
The Calculus of M-estimation in R with geex [PDF]
, 2019 M-estimation, or estimating equation, methods are widely applicable for point estimation and asymptotic inference. In this paper, we present an R package that can find roots and compute the empirical sandwich variance estimator for any set of user ...
Hudgens, Michael G., Saul, Bradley C.
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Software Reliability Estimate with Duplicated Components Based on Connection Structure
Cybernetics and Information Technologies, 2014 Reliability testing of complex software at the system level is impossible due to the environmental constraint or the time limitation, so its reliability estimate is often obtained based on the reliability of subsystems or components.
Li Zhen, Tian Junfeng, Zhao Pengyuan
doaj +1 more source
Estimation of Error Variance in Regularized Regression Models via Adaptive Lasso
Mathematics, 2022 Estimation of error variance in a regression model is a fundamental problem in statistical modeling and inference. In high-dimensional linear models, variance estimation is a difficult problem, due to the issue of model selection.
Xin Wang, Lingchen Kong, Liqun Wang
doaj +1 more source
Regression Function and Noise Variance Tracking Methods for Data Streams with Concept Drift
International Journal of Applied Mathematics and Computer Science, 2018 Two types of heuristic estimators based on Parzen kernels are presented. They are able to estimate the regression function in an incremental manner. The estimators apply two techniques commonly used in concept-drifting data streams, i.e., the forgetting ...
Jaworski Maciej
doaj +1 more source
Design-Based Approach for Analysing Survey Data in Veterinary Research
Veterinary Sciences, 2021 Sample surveys are an essential approach used in veterinary research and investigation. A sample obtained from a well-designed sampling process along with robust data analysis can provide valuable insight into the attributes of the target population. Two
D. Aaron Yang, Richard A. Laven
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Joint Decision-Directed Channel and Noise-Variance Estimation for MIMO OFDM/SDMA Systems Based on Expectation-Conditional Maximization [PDF]
, 2011 A joint channel impulse response (CIR) and noise-variance estimation scheme is proposed for multiuser multiple-input–multiple-output (MIMO) orthogonal frequency-division multiplexing/space-division multiple access (OFDM/SDMA) systems, which is based on ...
Hanzo, Lajos +2 more
core +1 more source