Results 11 to 20 of about 2,366,764 (294)
Methods to Counter Self-Selection Bias in Estimations of the Distribution Function and Quantiles
Mathematics, 2022 Many surveys are performed using non-probability methods such as web surveys, social networks surveys, or opt-in panels. The estimates made from these data sources are usually biased and must be adjusted to make them representative of the target ...
María del Mar Rueda +2 more
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Estimating General Parameters from Non-Probability Surveys Using Propensity Score Adjustment
Mathematics, 2020 This study introduces a general framework on inference for a general parameter using nonprobability survey data when a probability sample with auxiliary variables, common to both samples, is available.
Luis Castro-Martín +2 more
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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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Adaptive normalization for IPW estimation
Journal of Causal Inference, 2023 Inverse probability weighting (IPW) is a general tool in survey sampling and causal inference, used in both Horvitz–Thompson estimators, which normalize by the sample size, and Hájek/self-normalized estimators, which normalize by the sum of the inverse ...
Khan Samir, Ugander Johan
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Neutrosophic Estimators in Two-Phase Survey Sampling [PDF]
Neutrosophic Sets and Systems, 2023 Point estimates in survey sampling only provide a single value for the parameter being studied and are consequently vulnerable to changes caused by sampling error.
Vinay Kumar Yadav, Shakti Prasad
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A Novel Sub-Type Mean Estimator for Ranked Set Sampling with Dual Auxiliary Variables
Journal of New Theory, 2023 This research introduces a novel sub-estimator designed to estimate the population mean under ranked set sampling, motivated by the new concept of a recently introduced sub-ratio estimator.
Eda Gizem Koçyiğit
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A statistical small-area method of estimation of spatial distribution of the tree damage degree
Journal of Forest Science, 2003 The objectives of this study are to demonstrate a small-area method of estimation of the spatial distribution of the tree damage degree, and to initially verify it during the assessment of fir (Abies alba Mill.) and beech (Fagus sylvatica L.) vitality in
R. Podlaski
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Quality procedures for survey transitions - experiments, time series and discontinuities
Survey Research Methods, 2008 To maintain uninterrupted time series, surveys conducted by national statistical institutes are often kept unchanged as long as possible. When a change is proposed to improve the methods, it may affect the continuity of these series. It is important to
Jan van den Brakel +2 more
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Fractional Imputation in Survey Sampling: A Comparative Review [PDF]
, 2015 Fractional imputation (FI) is a relatively new method of imputation for handling item nonresponse in survey sampling. In FI, several imputed values with their fractional weights are created for each missing item.
Kim, Jae Kwang +2 more
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Entropy Balancing is Doubly Robust
Journal of Causal Inference, 2016 Covariate balance is a conventional key diagnostic for methods estimating causal effects from observational studies. Recently, there is an emerging interest in directly incorporating covariate balance in the estimation.
Zhao Qingyuan, Percival Daniel
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