Search Results - subject:"GREG estimator"

QR prediction for statistical data integration

Medous, Estelle; Goga, Camelia; Ruiz-Gazen, Anne; … - 2022

Persistent link: https://www.econbiz.de/10013263304

Estimating the finite population total under frame imperfections and nonresponse

Ängsved, Marianne - 2006

When sampling from a finite population the access to a good sampling frame is of vital importance. However, the statistician often has to face the problem with non-negligible frame imperfections, e.g. overcoverage and undercoverage. More so, error from nonresponse is an increasing problem in...

Persistent link: https://www.econbiz.de/10012654319

Estimating the finite population total under frame imperfections and nonresponse

Ängsved, Marianne - Handelshögskolan, Örebro Universitet - 2006

Persistent link: https://www.econbiz.de/10005644807

Case-deletion type diagnostics for calibration estimators in survey sampling

Barranco-Chamorro, I.; Jiménez-Gamero, M.D.; … - In: Computational Statistics & Data Analysis 56 (2012) 7, pp. 2219-2236

Based on the use of calibration techniques as a way of handling nonresponse, case-deletion diagnostics for calibration estimators are proposed. A deleted case is dealt with as it were a nonresponse case. Two types of diagnostics are proposed: one compares the calibration weights and the other...

Persistent link: https://www.econbiz.de/10011056593

GREG estimation and probabilistic editing

Ilves, Maiki - In: METRON 70 (2012) 2, pp. 133-144

are selected for editing through Poisson Mixture (PoMix) sampling and a bias adjusted GREG estimator is used for … estimation. An expression for the variance of the bias adjusted GREG estimator is derived, and variance estimator is proposed …. The effectiveness of the proposed editing procedure and the GREG estimator is illustrated using empirical data from …

Persistent link: https://www.econbiz.de/10011000674

Estimating the finite population total under Frame imperfections

Ängsved, Marianne - Handelshögskolan, Örebro Universitet - 2004

When sampling from a finite population the access to a good samplingcframe is of vital importance. However, the statistician often has to confront the problem of estimation in the face of non-negligible frame imperfections, e.g. overcoverage and undercoverage. In this paper we <p> discuss different...</p>

Persistent link: https://www.econbiz.de/10005190529