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   Articles with "estimator" as a keyword



An event‐triggered zonotopic Gaussian state estimator for discrete‐time stochastic multiplicative systems with zonotopic set‐membership and stochastic uncertainties

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recommendations! Published in 2024 at "International Journal of Robust and Nonlinear Control"

DOI: 10.1002/rnc.7388

Abstract: This article addresses the challenge of estimating the state of a discrete‐time stochastic multiplicative system with zonotopic set‐membership and stochastic uncertainties. The stochastic system model incorporates additive and multiplicative Gaussian and zonotopic set‐membership uncertainties, posing… read more here.

Keywords: zonotopic set; event triggered; zonotopic; state ... See more keywords

Robust best linear weighted estimator with missing covariates in survival analysis

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recommendations! Published in 2024 at "Statistics in Medicine"

DOI: 10.1002/sim.10044

Abstract: Missing data in covariates can result in biased estimates and loss of power to detect associations. We consider Cox regression in which some covariates are subject to missing. The inverse probability weighted approach is often… read more here.

Keywords: missing covariates; robust best; weighted estimator; best linear ... See more keywords

The effect of number of clusters and magnitude of within‐cluster homogeneity in outcomes on the performance of four variance estimators for a marginal multivariable Cox regression model fit to clustered data in the context of observational research

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recommendations! Published in 2024 at "Statistics in Medicine"

DOI: 10.1002/sim.10126

Abstract: Researchers often estimate the association between the hazard of a time‐to‐event outcome and the characteristics of individuals and the clusters in which individuals are nested. Lin and Wei's robust variance estimator is often used with… read more here.

Keywords: variance; within cluster; estimator; number clusters ... See more keywords

A Comparison of Variance Estimators for Logistic Regression Models Estimated Using Generalized Estimating Equations (GEE) in the Context of Observational Health Services Research

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recommendations! Published in 2024 at "Statistics in Medicine"

DOI: 10.1002/sim.10260

Abstract: In observational health services research, researchers often use clustered data to estimate the independent association between individual outcomes and several cluster‐level covariates after adjusting for individual‐level characteristics. Generalized estimating equations are a popular method for… read more here.

Keywords: cluster level; number clusters; variance; level ... See more keywords

Inverse Probability of Treatment Weighting Using the Propensity Score With Competing Risks in Survival Analysis

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recommendations! Published in 2025 at "Statistics in Medicine"

DOI: 10.1002/sim.70009

Abstract: Inverse probability of treatment weighting (IPTW) using the propensity score allows estimation of the effect of treatment in observational studies. We had three objectives: first, to describe methods for using IPTW to estimate the effects… read more here.

Keywords: treatment; inverse probability; competing risks; time specific ... See more keywords

A comparison of estimation methods adjusting for selection bias in adaptive enrichment designs with time‐to‐event endpoints

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recommendations! Published in 2022 at "Statistics in Medicine"

DOI: 10.1002/sim.9327

Abstract: Adaptive enrichment designs in clinical trials have been developed to enhance drug developments. They permit, at interim analyses during the trial, to select the sub‐populations that benefits the most from the treatment. Because of this… read more here.

Keywords: estimation; time event; selection; estimator ... See more keywords

Unified estimation for Cox regression model with nonmonotone missing at random covariates

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recommendations! Published in 2022 at "Statistics in Medicine"

DOI: 10.1002/sim.9512

Abstract: This article investigates a unified estimator for Cox regression model (Cox, 1972) when covariate data are missing at random (Rubin, 1976). It extends the idea of using parametric working models (Zhao and Liu, 2021) to… read more here.

Keywords: cox regression; regression model; cox; unified estimator ... See more keywords

Distributed Estimator-Based Fault Detection for Multi-agent Networks

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recommendations! Published in 2018 at "Circuits, Systems, and Signal Processing"

DOI: 10.1007/s00034-017-0548-z

Abstract: This paper focuses on the problem of fault detection (FD) for multi-agent networks when some follower agents are subjected to actuator or sensor faults. A distributed FD architecture is proposed by constructing a consensus-based estimator… read more here.

Keywords: fault detection; estimator; multi agent; agent networks ... See more keywords

Regularized Recursive Least Square-Based Time Domain Iterative Channel Estimation Scheme for OFDM-IDMA Systems

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recommendations! Published in 2018 at "Circuits, Systems, and Signal Processing"

DOI: 10.1007/s00034-017-0587-5

Abstract: In the recent time, there have been investigation efforts into time domain channel estimation techniques, exploiting underlying sparseness in OFDM channel, for multiuser-based orthogonal frequency division multiplexing-interleave division multiple access (OFDM-IDMA) systems. This paper developed… read more here.

Keywords: estimator; time; channel estimation; ofdm idma ... See more keywords

Revisiting the trade effects of the euro: data sources and various samples

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recommendations! Published in 2019 at "Empirical Economics"

DOI: 10.1007/s00181-019-01742-0

Abstract: New evidence in the literature on trade effects of the euro often reports different estimates. In this paper, I investigate the impact of trade data, instead of methodology, on the estimation of the key coefficient.… read more here.

Keywords: effects euro; estimator; trade effects; ppml ... See more keywords

Kernel density estimation from complex surveys in the presence of complete auxiliary information

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recommendations! Published in 2019 at "Metrika"

DOI: 10.1007/s00184-018-0703-y

Abstract: Auxiliary information is widely used in survey sampling to enhance the precision of estimators of finite population parameters, such as the finite population mean, percentiles, and distribution function. In the context of complex surveys, we… read more here.

Keywords: complex surveys; auxiliary information; estimator; density ... See more keywords