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    Wyświetlanie 1-5 z 5
    Tytuł:
    Synthetic Estimators Using Auxiliary Information in Small Domains
    Autorzy:
    Rai, P. K.
    Pandey, K. K.
    Powiązania:
    https://bibliotekanauki.pl/articles/465709.pdf
    Data publikacji:
    2013
    Wydawca:
    Główny Urząd Statystyczny
    Tematy:
    auxiliary information
    small area (domain) estimation synthetic estimation
    optimum weights
    Opis:
    In the present article we discuss the generalized class of synthetic estimators for estimating the population mean of small domains under the information of two auxiliary variables, and describe the special cases under the different values of the constant beta involved in the proposed generalized class of synthetic estimator. In addition we have taken a numerical illustration for the two auxiliary variables and compared the result for the synthetic ratio estimator under single and two auxiliary variables.
    Źródło:
    Statistics in Transition new series; 2013, 14, 1; 31-44
    1234-7655
    Pojawia się w:
    Statistics in Transition new series
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Best Linear Unbiased Estimators of Population Mean on Current Occasion in Two-Occasion Rotation Patterns
    Autorzy:
    Singh, G. N.
    Prasad, S.
    Powiązania:
    https://bibliotekanauki.pl/articles/465782.pdf
    Data publikacji:
    2013
    Wydawca:
    Główny Urząd Statystyczny
    Tematy:
    successive sampling
    auxiliary information
    unbiased
    variance
    optimum replacement policy
    Opis:
    Best linear unbiased estimators have been proposed to estimate the population mean on current occasion in two-occasion successive (rotation) sampling. Behavior of the proposed estimators have been studied and their respective optimum replacement policies are discussed. Empirical studies are carried out to examine the performance of the proposed estimators and consequently the suitable recommendations are made.
    Źródło:
    Statistics in Transition new series; 2013, 14, 1; 57-74
    1234-7655
    Pojawia się w:
    Statistics in Transition new series
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Small Area Prediction under Alternative Model Specifications
    Autorzy:
    Erciulescu, Andreea L.
    Fuller, Wayne A.
    Powiązania:
    https://bibliotekanauki.pl/articles/465723.pdf
    Data publikacji:
    2016
    Wydawca:
    Główny Urząd Statystyczny
    Tematy:
    unit level model
    parametric bootstrap
    double bootstrap
    measurement error
    auxiliary information
    Opis:
    Construction of small area predictors and estimation of the prediction mean squared error, given different types of auxiliary information are illustrated for a unit level model. Of interest are situations where the mean and variance of an auxiliary variable are subject to estimation error. Fixed and random specifications for the auxiliary variables are considered. The efficiency gains associated with the random specification for the auxiliary variable measured with error are demonstrated. A parametric bootstrap procedure is proposed for the mean squared error of the predictor based on a logit model. The proposed bootstrap procedure has smaller bootstrap error than a classical double bootstrap procedure with the same number of samples.
    Źródło:
    Statistics in Transition new series; 2016, 17, 1; 9-24
    1234-7655
    Pojawia się w:
    Statistics in Transition new series
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Percentile-Adjusted Estimation of Poverty Indicators for Domains Under Outlier Contamination
    Autorzy:
    Veijanen, Ari
    Lehtonen, Risto
    Powiązania:
    https://bibliotekanauki.pl/articles/466042.pdf
    Data publikacji:
    2011
    Wydawca:
    Główny Urząd Statystyczny
    Tematy:
    small area estimation
    poverty indicator
    income data
    bias correction
    auxiliary information
    mixed model
    prediction
    Opis:
    Traditional estimation of poverty and inequality indicators, such as the Gini coefficient, for regions does not currently use auxiliary information or models fitted to income survey data. A predictor-type estimator constructed from ordinary mixed model predictions is not necessarily useful, as the predictions have too small spread for estimation of income statistics. Ordinary bias corrections are aimed at correcting the expectation of predictions, but poverty indicators would not be affected at all by a correction involving multiplication of predictions. We need a method improving the shape of the distribution of predictions, as poverty indicators describe differences of income between people. We therefore introduce a transformation bringing the percentiles of transformed predictions closer to the percentiles of sample values. The experiments show that the transformation results in smaller MSE of a predictor. If unit-level data from population are not available, the marginal domain frequencies of qualitative auxiliary variables can be successfully incorporated into a new calibration-based predictor-type estimator. The results are based on design-based simulation experiments where we use a population generated from an EU-wide income survey. The study is a part of the AMELI project funded by the European Union under the Seventh Framework Programme for research and technological development (FP7).
    Źródło:
    Statistics in Transition new series; 2011, 12, 2; 345-356
    1234-7655
    Pojawia się w:
    Statistics in Transition new series
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Some Rotation Patterns in Two-Phase Sampling
    Autorzy:
    Singh, G. N.
    Prasad, Shakti
    Powiązania:
    https://bibliotekanauki.pl/articles/465915.pdf
    Data publikacji:
    2011
    Wydawca:
    Główny Urząd Statystyczny
    Tematy:
    Two-phase, successive sampling
    auxiliary information
    chain-type
    bias
    mean square error
    optimum replacement policy
    Opis:
    A problem related to the estimation of population mean on the current occasion using two-phase successive (rotation) sampling on two occasions has been considered. Two-phase ratio, regression and chain-type estimators for estimating the population mean on current (second) occasion have been proposed. Properties of the proposed estimators have been studied and their respective optimum replacement policies are discussed. Estimators are compared with the sample mean estimator, when there is no matching and the natural optimum estimator, which is a linear combination of the means of the matched and unmatched portions of the sample on the current occasion. Results are demonstrated through empirical means of comparison and suitable recommendations are made.
    Źródło:
    Statistics in Transition new series; 2011, 12, 1; 25-44
    1234-7655
    Pojawia się w:
    Statistics in Transition new series
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
      Wyświetlanie 1-5 z 5

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