We investigate the degree to which the Horvitz-Thompson estimator approximates the population mean in survey sampling. Specifically, conditions for (mean square) consistency are given, along with rates of convergence. The conditions involve only first and second-order inclusion probabilities, and for various sampling designs they are easy to check
76 pages, 1 article*An Empirical, General Population Assessment of the Properties of Variance Estima...
En révision pour Scandinavian J. of StatisticsFor fixed size sampling designs with high entropy it i...
The main objetive of this work is to extend the Horvitz-Thompson estimator to random fields
We investigate the degree to which the Horvitz-Thompson estimator approximates the population mean i...
Drawing distinct units without replacement and with unequal probabilities from a population is a pro...
Sampling distinct units from a population with unequal probabilities without replacement is a proble...
Two-stage sampling designs are commonly used for household and health surveys. To produce reliable e...
When dealing with very large datasets of functional data, survey sampling ap-proaches are useful in ...
Inverse sampling design is generally considered to be an appropriate technique when the population i...
Matrix algebra is a tool not commonly employed in sampling theory. The intention of this paper is to...
Matrix algebra is a tool not commonly employed in sampling theory. The intention of this paper is to...
Spatial populations are usually located on a continuous support. They can be surfaces representing t...
Chromy (1979) proposed a unequal probability sampling algorithm, which enables to select a sample in...
Under inclusion probability proportional to size (IPPS) sampling, the exact second-order inclusion p...
Previous empirical studies of the properties of variable probability, systematic sampling and the Ho...
76 pages, 1 article*An Empirical, General Population Assessment of the Properties of Variance Estima...
En révision pour Scandinavian J. of StatisticsFor fixed size sampling designs with high entropy it i...
The main objetive of this work is to extend the Horvitz-Thompson estimator to random fields
We investigate the degree to which the Horvitz-Thompson estimator approximates the population mean i...
Drawing distinct units without replacement and with unequal probabilities from a population is a pro...
Sampling distinct units from a population with unequal probabilities without replacement is a proble...
Two-stage sampling designs are commonly used for household and health surveys. To produce reliable e...
When dealing with very large datasets of functional data, survey sampling ap-proaches are useful in ...
Inverse sampling design is generally considered to be an appropriate technique when the population i...
Matrix algebra is a tool not commonly employed in sampling theory. The intention of this paper is to...
Matrix algebra is a tool not commonly employed in sampling theory. The intention of this paper is to...
Spatial populations are usually located on a continuous support. They can be surfaces representing t...
Chromy (1979) proposed a unequal probability sampling algorithm, which enables to select a sample in...
Under inclusion probability proportional to size (IPPS) sampling, the exact second-order inclusion p...
Previous empirical studies of the properties of variable probability, systematic sampling and the Ho...
76 pages, 1 article*An Empirical, General Population Assessment of the Properties of Variance Estima...
En révision pour Scandinavian J. of StatisticsFor fixed size sampling designs with high entropy it i...
The main objetive of this work is to extend the Horvitz-Thompson estimator to random fields
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