Results 51 to 60 of about 286,227 (342)
Estimation of Nonresponse Bias [PDF]
Sociological Methods & Research, 1975 An imputation procedure is used to estimate the effects of nonresponse on issues of substantive interest in a social survey. Using this method, one can determine that nonresponse bias may have differential effects on variable means, depending on the combination of independent variables used in the ensuing substantive analysis of data from the survey.
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Modified estimator of the contribution rates of population eigenvalues [PDF]
, 2012 Modified estimators for the contribution rates of population eigenvalues are given under an elliptically contoured distribution. These estimators decrease the bias of the classical estimator, i.e. the sample contribution rates.
Sheena, Yo
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Estimation of the Heteroskedastic Canonical Contagion Model with Instrumental Variables. [PDF]
PLoS ONE, 2016 Knowledge of contagion among economies is a relevant issue in economics. The canonical model of contagion is an alternative in this case. Given the existence of endogenous variables in the model, instrumental variables can be used to decrease the bias of
André L P Ribeiro, Luiz K Hotta
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A Bootstrap Method for a Multiple-Imputation Variance Estimator in Survey Sampling
Stats, 2022 Rubin’s variance estimator of the multiple imputation estimator for a domain mean is not asymptotically unbiased. Kim et al. derived the closed-form bias for Rubin’s variance estimator.
Lili Yu, Yichuan Zhao
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A stepwise emergence of evolution in the RNA world
FEBS Letters, EarlyView.How did biological evolution emerge from chemical reactions? This perspective proposes a gradual scenario of self‐organization among RNA molecules, where catalytic feedback on random mixtures plays the central role. Short oligomers cross‐ligate, and self‐assembly enables heritable variations. An event of template‐externalization marks the transition to
Philippe Nghe
wiley +1 more source
Bias in O-Information Estimation
EntropyHigher-order relationships are a central concept in the science of complex systems. A popular method of attempting to estimate the higher-order relationships of synergy and redundancy from data is through the O-information. It is an information–theoretic measure composed of Shannon entropy terms that quantifies the balance between redundancy and ...
Johanna Gehlen +9 more
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Instrumental variables quantile regression for panel data with measurement errors [PDF]
, 2009 This paper develops an instrumental variables estimator for quantile regression in panel data with fixed effects. Asymptotic properties of the instrumental variables estimator are studied for large N and T when Na/T ! 0, for some a > 0.
Galvao Jr, A. F., Montes-Rojas, G.
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Estimation of integrated quadratic covariation with endogenous sampling times
, 2016 When estimating high-frequency covariance (quadratic covariation) of two arbitrary assets observed asynchronously, simple assumptions, such as independence, are usually imposed on the relationship between the prices process and the observation times.
Mykland, Per, Potiron, Yoann
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A Study on the Chain Ratio-Type Estimator of Finite Population Variance
Journal of Probability and Statistics, 2014 We suggest an estimator using two auxiliary variables for the estimation of the unknown population variance. The bias and the mean square error of the proposed estimator are obtained to the first order of approximations.
Yunusa Olufadi, Cem Kadilar
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Evaluation of exposure-specific risks from two independent samples: A simulation study
BMC Medical Research Methodology, 2011 Background Previous studies have proposed a simple product-based estimator for calculating exposure-specific risks (ESR), but the methodology has not been rigorously evaluated.
Gagnon David +3 more
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