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Estimation in Two‐Stage Models with Heteroscedasticity
International Statistical Review, 2006 SummaryA surprising number of important problems can be cast in the framework of estimating a mean and variance using data arising from a two‐stage structure. The first stage is a random sampling of “units” with some quantity of interest associated with the unit.
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Calibrated estimators in two-stage sampling
Communications in Statistics - Theory and Methods, 2018 We consider the problem of the estimation of the population mean of a study variable by assuming that the population means of an auxiliary variable are known at both stages of sample selection. The design weights at the first and second stages of sample selection are calibrated by optimizing the chi-squared type distance between the design weights and ...
Salinas, Veronica I. +2 more
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Scientific ReportsPrecise models predicting fuel cell performance under different operating conditions require accurate parameter identification in a proton exchange membrane fuel cell (PEMFC).
Mohammad Aljaidi +8 more
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adestr: Estimation in Optimal Adaptive Two-Stage Designs [PDF]
, 2023 Jan Meis
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Direction of arrival estimation in passive radar based on deep neural network
IET Signal Processing, 2021 Most traditional direction of arrival (DOA) estimation methods in passive radar are based on the parametric model of the antenna array manifold, and lack the adaption to the array errors.
Xiaoyong Lyu, Jun Wang
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Triple-goal Estimates in Two-stage Hierarchical Models
Journal of the Royal Statistical Society Series B: Statistical Methodology, 1998 Summary The beauty of the Bayesian approach is its ability to structure complicated models, inferential goals and analyses. To take full advantage of it, methods should be linked to an inferential goal via a loss function. For example, in the two-stage, compound sampling model the posterior means are optimal under squared error loss ...
Shen, Wei, Louis, Thomas A.
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A Streaming Data Clustering Method Based on Dual Strategies Improved DENCLUE
IEEE AccessStreaming data arrives continually and is characterized by fast, massive, dynamic evolution and instability. Different from traditional static data clustering, streaming data clustering algorithms need to consider concept drift, outlier handling ...
Ting Cai +5 more
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Revista Facultad de Ingeniería Universidad de Antioquia, 2013 We propose a sampling plan intended for medium size cities. The proposed plan begins with a two-stage pilot plan, which helped us to obtain a better estimation of the final sample size when a ratio estimator is used.
Rafael A Klinger +3 more
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The Robust Variance Estimator for Two-stage Models [PDF]
The Stata Journal: Promoting communications on statistics and Stata, 2002 This article discusses estimates of variance for two-stage models. We present the sandwich estimate of variance as an alternative to the Murphy–Topel estimate. The sandwich estimator has a simple formula that is similar to the formula for the Murphy–Topel estimator, and the two estimators are asymptotically equal when the assumed model distributions ...
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Análisis bivariado de confiabilidad basado en cópulas
Revista Colombiana de Estadística, 2011 En la industria se requieren estudios de confiabilidad para asegurar el nivel de calidad de los productos que se fabrican. Algunas veces tales productos tienen varios modos de falla que deben considerarse en el análisis de confiabilidad. Este análisis se
ENRIQUE RAÚL VILLA-DIHARCE +1 more
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