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Estimating Euler equations [PDF]
Working Paper Series, 2002 In this paper we consider conditions under which the estimation of a log-linearized Euler equation for consumption yields consistent estimates of preference parameters.
Attanasio, O.P., Low, H.
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The Calculus of M-Estimation in R with geex [PDF]
Journal of Statistical Software, 2020 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 ...
Bradley C. Saul, Michael G. Hudgens
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Generalized bootstrap for estimating equations [PDF]
The Annals of Statistics, 2005 We introduce a generalized bootstrap technique for estimators obtained by solving estimating equations. Some special cases of this generalized bootstrap are the classical bootstrap of Efron, the delete-d jackknife and variations of the Bayesian bootstrap.
Bose, Arup, Chatterjee, Snigdhansu
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Performance and Determinants of Serum Creatinine and Cystatin C–Based GFR Estimating Equations in South Asians [PDF]
Kidney International Reports, 2021 Introduction: The creatinine-based Chronic Kidney Disease Epidemiology Collaboration (CKD-EPI) estimated glomerular filtration rate (eGFR) equation was calibrated for the general Pakistan population (eGFRcr-PK) to eliminate bias and improve accuracy ...
Yeli Wang +9 more
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Assessing the Impacts of Meteorological Factors on COVID-19 Pandemic Using Generalized Estimating Equations [PDF]
Frontiers in Public Health, 2022 BackgroundMeteorological factors have been proven to affect pathogens; both the transmission routes and other intermediate. Many studies have worked on assessing how those meteorological factors would influence the transmissibility of COVID-19.
Shengnan Lin +17 more
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A selective review of statistical methods using calibration information from similar studies
Statistical Theory and Related Fields, 2022 In the era of big data, divide-and-conquer, parallel, and distributed inference methods have become increasingly popular. How to effectively use the calibration information from each machine in parallel computation has become a challenging task for ...
Jing Qin, Yukun Liu, Pengfei Li
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Gee-logit model corrected biplots with harvest effects on coffee beans grading
Bioscience Journal, 2021 In a granulometric analysis of coffee beans with different categories of defects, the data can be organized in contingency tables, and when considering the discrimination by harvest, they may have a structure that suggest a more complex model, by means ...
Haiany Aparecida Ferreira +3 more
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Viruses, 2022 This study investigated the kinetics in HBsAg and the HBsAg loss rate after entecavir or tenofovir disoproxil fumarate (TDF) cessation in patients with chronic hepatitis B (CHB) who achieved virological suppression after virological relapse without ...
Tzu-Ning Tseng +6 more
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Jackknife for nonlinear estimating equations
Modern Stochastics: Theory and Applications, 2022 In mixture with varying concentrations model (MVC) one deals with a nonhomogeneous sample which consists of subjects belonging to a fixed number of different populations (mixture components).
Rostyslav Maiboroda +2 more
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Aggregated estimating equation estimation [PDF]
Statistics and Its Interface, 2011 Motivated by the recent active research on online analytical processing (OLAP), we develop a computation and storage efficient algorithm for estimating equation (EE) estimation in massive data sets using a “divide-and-conquer” strategy. In each partition of the data set, we compress the raw data into some low dimensional statistics and then discard the
Ruibin Xi, Nan Lin
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