Regular Estimators for Subclasses of Linear Estimators.
Rejoinder on: Natural Induction: An objective Bayesian approach.
Relativistic fuzzy sets. Toward a new approach to subjectivity in human systems
Repeated Substitution Method: The Ratio Estimator for the Population Variance.
Response Bias and Difference Estimate in Double Sampling.
Sampling design variance estimation of small area estimators in the Spanish Labour Force survey.
The main goal of this paper is to investigate how to estimate sampling design variances of modelbased and model-assisted small area estimators in a complex survey sampling setup. For this purpose the Spanish Labour Force Survey is considered. Sample and aggregated data are taken from the Canary Islands in the second trimester of 2003 in order to obtain some small area estimators of ILO unemployment totals. Several problems arising from the application of standard small area estimation procedures...
Sampling inference, Bayes' inference and robustness in the advancement of learning.
Scientific learning is seen as an iterative process employing Criticism and Estimation. Sampling theory use of predictive distributions for model criticism is examined and also the implications for significance tests and the theory of precise measurement. Normal theory examples and ridge estimates are considered. Predictive checking functions for transformation, serial correlation, and bad values are reviewed as is their relation with Bayesian options. Robustness is seen from a Bayesian view point...
Schätzbare Parameterfunktionen in der Stichprobentheorie.
Sesgo de no respuesta reiterada en la estimación de la varianza poblacional.
Obtenemos la expresión del sesgo de respuesta en el n-ésimo intento, dentro de la subpoblación que no respondería en 1, 2, ... y n - 1 intentos sucesivos, en estudios por muestreo con reiteración en la subpoblación de no respuesta, para estimar la varianza poblacional.
Shrinkage Estimation of the Proportion in Randomized Response.
Significance tests to identify regulated proteins based on a large number of small samples
Modern biology is interested in better understanding mechanisms within cells. For this purpose, products of cells like metabolites, peptides, proteins or mRNA are measured and compared under different conditions, for instance healthy cells vs. infected cells. Such experiments usually yield regulation or expression values – the abundance or absence of a cell product in one condition compared to another one – for a large number of cell products, but with only a few replicates. In order to distinguish...
Small-area estimation using adjustment by covariantes.
Linear regression models with random effects are applied to estimating the population means of indirectly measured variables in small areas. The proposed method, a hybrid with design- and model-based elements, takes account of the area-level variation and of the uncertainty about the fitted regression model and the area-level population means of the covariates. The method is illustrated on data from the U.S. Department of Labor Literacy Surveys and is informally validated on two states, Mississippi...
Sobre el problema de la fracción de submuestreo para el caso de las no respuestas.
Some Aspects on Random Permutation Models in Finite Population Sampling Theory.
Some Order Relations Between Selection and Inclusion Probabilities for PPSWOR Sampling Scheme.
Some Results Concerning Horvitz-Thompson 's Tl -Class of Estimators.
Stratification, Midzuno-Sen Strategy and Nonnegative Unbiased Variance Estimation.
Stratified filtered sampling in stochastic optimization.
Subjective Bayesian Multivariate Stratified Sampling From Finite Populations.
The efficiency of variance reduction in manufacturing and service systems: the comparison of the control variates and stratified sampling.