Search Results - subject:"Superpopulation Model"

A Predictive Estimator of the Mean with Missing Data

Rueda, M.; González, S.; Arcos, A. - In: Quality & Quantity: International Journal of Methodology 41 (2007) 2, pp. 201-217

Persistent link: https://www.econbiz.de/10009391209

Linear Estimation Under Superpopulation Models: Somo Results On Robustness

CASAS SÁNCHEZ, J.M.; GUIJARRO GARVI, M - In: Estudios de Economía Aplicada 14 (2000) Abril, pp. 37-46

The present article examines the linear estimation of a finite population mean, under a regression superpopulation … model with unknown parameters and correlated residuals. Asymptotic design unbiasedness and weak robustness are desirable …

Persistent link: https://www.econbiz.de/10005690282

On estimating the variance of the systematic sample mean

Montanari, Giorgio; Bartolucci, Francesco - In: Statistical Methods and Applications 7 (1998) 2, pp. 185-196

Persistent link: https://www.econbiz.de/10008590998

Microbased Time Series Analysis: Optimal prediction of eggregated AR(1)- series from survey samples

Cassel, Claes-M.; Lundquist, Peter - Economics Institute for Research (SIR), … - 1994

Using a microbased superpopulation approach some aspects of optimal prediction of aggregated AR(1) processes are studied.

Persistent link: https://www.econbiz.de/10005423807

Microbased Time Series Analysis: Estimating the autocorrelation function using survey sampling IV

Lundquist, Peter - Economics Institute for Research (SIR), … - 1994

Analysts using data from official statistical authorities often neglect the fact that data frequently are collected using sample surveys. In this paper the impact of sampling error on the estimation of the autocovariance and the autocorrelation function is studied under a micro based...

Persistent link: https://www.econbiz.de/10005649165

Microbased Time Series Analysis: Estimating the autocorrelation function using survey samples

Cassel, Claes-M.; Lundquist, Peter - Economics Institute for Research (SIR), … - 1994

Analysts using data from official statistical authorities often neglect the fact that data frequently is collected using sample surveys. We study the impact of sampling error on the estimation of the autocorrelation function for a population total under a microbased superpopulation time series...

Persistent link: https://www.econbiz.de/10005649275

Microbased Time Series Analysis: Estimating the autocorrelation function using survey samples II

Cassel, Claes-M.; Lundquist, Peter - Economics Institute for Research (SIR), … - 1994

under a superpopulation model. One restriction of that model was that the time series model should not exhibit trend. In …

Persistent link: https://www.econbiz.de/10005649282

Microbased Time Series Analysis: Optimal prediction of aggregated AR(1)- series from survey samples II

Cassel, Claes-M.; Lundquist, Peter - Economics Institute for Research (SIR), … - 1994

Using a microbased superpopulation approach (see Cassel and Lundquist (1991), (1990))the question of optimal predictors of a population total of AR(1) series is analysed. Only a sample of the individual timeseries in the population is observed. From the sample the population total is predicted....

Persistent link: https://www.econbiz.de/10005771169

The use of auxiliary information for solving non-response problems

Bouza, Carlos - In: TEST: An Official Journal of the Spanish Society of … 3 (1994) 2, pp. 113-122

Persistent link: https://www.econbiz.de/10005184327

Microbased Time Series Analysis: Estimating the autocorrelation function using survey samples III

Cassel, Claes-M.; Lundquist, Peter - Economics Institute for Research (SIR), … - 1994

The question of minimizing the bias due to the survey sampling error when estimating the autocorrelation function of aggregated AR(1) processes is studied.

Persistent link: https://www.econbiz.de/10005190856