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Post-sampling efficient QR-prediction in large-sample surveys
Summary Wright (1983) introduced the class of QR-predictors to estimate a finite population mean under a regression superpopulation model. In the present paper we enlarge that class to include moreExpand
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Nonparametric Model Calibration Estimation in Survey Sampling
Calibration is commonly used in survey sampling to include auxiliary information at the estimation stage of a population parameter. Calibrating the observation weights on population means (totals) ofExpand
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Magnetization transfer changes of grey and white matter in Parkinson's disease
Since the attempt to evidence structural brain damage in Parkinson's disease (PD) by conventional magnetic resonance imaging (MRI) is usually disappointing, we have investigated whether theExpand
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Dacus oleae (Gmel.) ovipositing in olive drupes (Diptera, Tephrytidae)
This study speaks about the relationship between olive fly (D. oleae) ovipositing and certain physical parameters of drupes. During the first period of observation weight was the most importantExpand
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Model-assisted estimation of a spatial population mean
This paper deals with the estimation of the mean of a finite spatial popu­lation defined on a fine grid superimposed over a continuous domain. Under a design-based perspective, an estimator assistedExpand
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A new class of unbiased estimators of the variance of the systematic sample mean
We propose a class of estimators of the variance of the systematic sample mean, which is unbiased under the assumption that the population follows a superpopulation model that satisfies some mildExpand
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[The effect of sampling error on results of inverse projection: an empirical study].
The authors conduct a simulation using population data from parishes in Perugia, Italy, from 1790 to 1830 to find out how sampling errors affect the results of inverse projections. They concludeExpand
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Dimensionality of the Latent Structure and Item Selection Via Latent Class Multidimensional IRT Models
With reference to a questionnaire aimed at assessing the performance of Italian nursing homes on the basis of the health conditions of their patients, we investigate two relevant issues:Expand
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Three-step estimation of latent Markov models with covariates
A three-step approach is proposed to estimate latent Markov (LM) models for longitudinal data with and without covariates. The approach is based on a preliminary clustering of sample units on theExpand
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A Mixed Model-assisted Regression Estimator that Uses Variables Employed at the Design Stage
The Generalized regression estimator (GREG) of a finite population mean or total has been shown to be asymptotically optimal when the working linear regression model upon which it is based includesExpand
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