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    Wyświetlanie 1-11 z 11
    Tytuł:
    Some Applications of Panel Data Models in Small Area Estimation
    Autorzy:
    Nekrašaitė-Liegė, Vilma
    Powiązania:
    https://bibliotekanauki.pl/articles/465626.pdf
    Data publikacji:
    2011
    Wydawca:
    Główny Urząd Statystyczny
    Tematy:
    Small area estimation
    panel-type data
    model-based
    model-assisted
    Opis:
    This study uses a real population from Statistics Lithuania to investigate the performance of different types of estimation strategies. The estimation strategy is a combination of sampling design and estimation design. The sampling designs include equal probability design (SRS) and unequal probability designs (stratified SRS and model-based sampling designs). Design-based direct Horvitz-Thompson, indirect model-assisted GREG estimator and indirect model-based estimator are used to estimate the totals in small area estimation. The underlying panel-type models (linear fixed-effects type or linear random-effects type) are examined in both stages of estimation strategies: sample design and construction of estimators.
    Źródło:
    Statistics in Transition new series; 2011, 12, 2; 265-280
    1234-7655
    Pojawia się w:
    Statistics in Transition new series
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Small Area Estimation Under a Mixture Model
    Autorzy:
    Chandra, Hukum
    Bathla, HVL
    Sud, U.C.
    Powiązania:
    https://bibliotekanauki.pl/articles/465788.pdf
    Data publikacji:
    2010
    Wydawca:
    Główny Urząd Statystyczny
    Tematy:
    Linear mixed model
    Small area estimation
    EBLUP
    Zero-inflated data
    mixture model
    Opis:
    Small area estimation (SAE) under a linear mixed model may not be efficient if data contain substantial proportion of zeros than would be expected under standard model assumptions (hereafter zero-inflated data). We discuss the SAE for zero-inflated data under a mixture model (Fletcher et al., 2005 and Karlberg, 2000) that account for excess zeros in the data. Our results from simulation studies show that mixture model based approach for SAE works well and produces an efficient set of small area estimates. An application to real survey data from the National Sample Survey Organisation of India demonstrates the satisfactory performance of the approach.
    Źródło:
    Statistics in Transition new series; 2010, 11, 3; 76-89
    1234-7655
    Pojawia się w:
    Statistics in Transition new series
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Small Area Estimation of Income Under Spatial SAR Model
    Autorzy:
    Kubacki, Jan
    Jędrzejczak, Alina
    Powiązania:
    https://bibliotekanauki.pl/articles/465667.pdf
    Data publikacji:
    2016
    Wydawca:
    Główny Urząd Statystyczny
    Tematy:
    small area estimation (SAE)
    SAR model
    hierarchical Bayes estimation
    spatial empirical best linear unbiased predictor
    Opis:
    The paper presents the method of hierarchical Bayes (HB) estimation under small area models with spatially correlated random effects and a spatial structure implied by the Simultaneous Autoregressive (SAR) process. The idea was to improve the spatial EBLUP by incorporating the HB approach into the estimation algorithm. The computation procedure applied in the paper uses the concept of sampling from a posterior distribution under generalized linear mixed models implemented in WinBUGS software and adapts the idea of parameter estimation for small areas by means of the HB method in the case of known model hyperparameters. The illustration of the approach mentioned above was based on a real-world example concerning household income data. The precision of the direct estimators was determined using own three-stage procedure which employs Balanced Repeated Replication, bootstrap and Generalized Variance Function. Additional simulations were conducted to show the influence of the spatial autoregression coefficient on the estimation error reduction. The computations performed by ‘sae’ package for R project and a special procedure for WinBUGS reveal that the method provides reliable estimates of small area means. For high spatial correlation between domains, noticeable MSE reduction was observed, which seems more evident for HB-SAR method as compared with the traditional spatial EBLUP. In our opinion, the Gibbs sampler, revealing the simultaneous nature of processes, especially for random effects, can be a good starting point for the simulations based on stochastic SAR processes.
    Źródło:
    Statistics in Transition new series; 2016, 17, 3; 365-390
    1234-7655
    Pojawia się w:
    Statistics in Transition new series
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    SAE Teaching Using Simulations
    Autorzy:
    Burgard, Jan Pablo
    Münnich, Ralf
    Powiązania:
    https://bibliotekanauki.pl/articles/465634.pdf
    Data publikacji:
    2015
    Wydawca:
    Główny Urząd Statystyczny
    Tematy:
    small area estimation
    teaching
    simulations
    design-based simulations model-based simulations
    Opis:
    The increasing interest in applying small area estimation methods urges the needs for training in small area estimation. To better understand the behaviour of small area estimators in practice, simulations are a feasible way for evaluating and teaching properties of the estimators of interest. By designing such simulation studies, students gain a deeper understanding of small area estimation methods. Thus, we encourage to use appropriate simulations as an additional interactive tool in teaching small area estimation methods.
    Źródło:
    Statistics in Transition new series; 2015, 16, 4; 603-610
    1234-7655
    Pojawia się w:
    Statistics in Transition new series
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Small Area Estimation for Skewed Data in the Presence of Zeroes
    Autorzy:
    Karlberg, Forough
    Powiązania:
    https://bibliotekanauki.pl/articles/466079.pdf
    Data publikacji:
    2015
    Wydawca:
    Główny Urząd Statystyczny
    Tematy:
    small area estimation
    representative outliers
    zero-valued observations lognormal-logistic mixture model
    Opis:
    Skewed distributions with representative outliers pose a problem in many surveys. Various small area prediction approaches for skewed data based on transformation models have been proposed. However, in certain applications of those predictors, the fact that the survey data also contain a non-negligible number of zero-valued observations is sometimes dealt with rather crudely, for instance by arbitrarily adding a constant to each value (to allow zeroes to be considered as “positive observations, only smaller”, instead of acknowledging their qualitatively different nature). On the other hand, while a lognormal-logistic model has been proposed (to incorporate skewed distributions as well as zeroes), that model does not include any hierarchical aspects, and is therefore not explicitly adapted to small area prediction. In this paper, we consolidate the two approaches by extending one of the already established log-transformation mixed small area prediction models to incorporate a logistic component. This allows for the simultaneous, systematic treatment of domain effects, outliers and zero-valued observations in a single framework. We benchmark the resulting model-based predictors (against relevant alternatives) in applications to simulated data as well as empirical data from the Australian Agricultural and Grazing Industries Survey.
    Źródło:
    Statistics in Transition new series; 2015, 16, 4; 541-562
    1234-7655
    Pojawia się w:
    Statistics in Transition new series
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Inferential Issues in Model-Based Small Area Estimation: Some New Developments
    Autorzy:
    Rao, J. N. K.
    Powiązania:
    https://bibliotekanauki.pl/articles/465725.pdf
    Data publikacji:
    2015
    Wydawca:
    Główny Urząd Statystyczny
    Tematy:
    area level models
    complex parameters
    informative sampling
    model misspecification
    robust estimation
    unit level models
    Opis:
    Small area estimation (SAE) has seen a rapid growth over the past 10 years or so. Earlier work is covered in the author's book (Rao 2003). The main purpose of this paper is to highlight some new developments in model-based SAE since the publication of the author's book. A large part of the new theory addressed practical issues associated with the model-based approach, and we present some of those methods for area level and unit level models. We also briefly mention some new work on synthetic estimation of area means or totals based on implicit models.
    Źródło:
    Statistics in Transition new series; 2015, 16, 4; 491-510
    1234-7655
    Pojawia się w:
    Statistics in Transition new series
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Crop Acreage and Crop Production Estimates for Small Domains - Revisited
    Autorzy:
    Tikkiwal, G. C.
    Khandelwal, Alka
    Powiązania:
    https://bibliotekanauki.pl/articles/465964.pdf
    Data publikacji:
    2012
    Wydawca:
    Główny Urząd Statystyczny
    Tematy:
    Timely Reporting Scheme (TRS) General Crop Estimation Surveys (GCES)
    Simulation-cum- Regression (SICURE) model
    Opis:
    For any country advance and final estimates of yield of principle crops, at National and State levels, are of great importance for its macro level planning. But, for decentralized planning and for other purposes like crop insurance, loan to farmers, etc., the reliable estimates of crop production for small domains are also in great demand. This paper, therefore, discusses and review critically the methodology used to provide crop acreage and crop production estimates for small domains, based on indirect methods of estimation, including the SICURE model approach. The indirect methods of estimation so developed use data obtained either through traditional surveys, like General Crop Estimation Surveys (GCES) data, or a combination of the surveys and satellite data.
    Źródło:
    Statistics in Transition new series; 2012, 13, 1; 47-64
    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:
    Modified exponential time series model with prediction of total COVID-19 cases in Belgium, Czech Republic, Poland and Switzerland
    Autorzy:
    Permpoonsinsup, Wachirapond
    Sunthornwat, Rapin
    Powiązania:
    https://bibliotekanauki.pl/articles/2108252.pdf
    Data publikacji:
    2022-09-14
    Wydawca:
    Główny Urząd Statystyczny
    Tematy:
    COVID-19
    modified exponential time-series model
    method of parameter estimation
    compound growth rate
    Opis:
    The coronavirus (COVID-19) pandemic affected every country worldwide. In particular, outbreaks in Belgium, the Czech Republic, Poland and Switzerland entered the second wave and was exponentially increasing between July and November, 2020. The aims of the study are: to estimate the compound growth rate, to develop a modified exponential time-series model compared with the hyperbolic time-series model, and to estimate the optimal parameters for the models based on the exponential least-squares, three selected points, partial-sums methods, and the hyperbolic least-squares for the daily COVID-19 cases in Belgium, the Czech Republic, Poland and Switzerland. The speed and spreading power of COVID-19 infections were obtained by using derivative and root-mean-squared methods, respectively. The results show that the exponential least-squares method was the most suitable for the parameter estimation. The compound growth rate of COVID-19 infection was the highest in Switzerland, and the speed and spreading power of COVID-19 infection were the highest in Poland between July and November, 2020.
    Źródło:
    Statistics in Transition new series; 2022, 23, 3; 147-165
    1234-7655
    Pojawia się w:
    Statistics in Transition new series
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    On the smoothed parametric estimation of mixing proportion under fixed design regression model
    Autorzy:
    Ramakrishnaiah, Y. S.
    Trivedi, Manish
    Satish, Konda
    Powiązania:
    https://bibliotekanauki.pl/articles/1359251.pdf
    Data publikacji:
    2019-04-25
    Wydawca:
    Główny Urząd Statystyczny
    Tematy:
    mixture of distributions
    mixing proportion
    smoothed parametric estimation
    fixed design regression model
    mean square error
    optimal band width
    strong consistency
    asymptotic normality
    Opis:
    The present paper revisits an estimator proposed by Boes (1966) - James (1978), herein called BJ estimator, which was constructed for estimating mixing proportion in a mixed model based on independent and identically distributed (i.i.d.) random samples, and also proposes a completely new (smoothed) estimator for mixing proportion based on independent and not identically distributed (non-i.i.d.) random samples. The proposed estimator is nonparametric in true sense based on known “kernel function” as described in the introduction. We investigated the following results of the smoothed estimator under the non-i.i.d. set-up such as (a) its small sample behaviour is compared with the unsmoothed version (BJ estimator) based on their mean square errors by using Monte-Carlo simulation, and established the percentage gain in precision of smoothed estimator over its unsmoothed version measured in terms of their mean square error, (b) its large sample properties such as almost surely (a.s.) convergence and asymptotic normality of these estimators are established in the present work. These results are completely new in the literature not only under the case of i.i.d., but also generalises to non-i.i.d. set-up.
    Źródło:
    Statistics in Transition new series; 2019, 20, 1; 87-102
    1234-7655
    Pojawia się w:
    Statistics in Transition new series
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Multiple – Equation Models of Ordered Dependent Variables in Exploration of The Results of Rehabilitation of Locomotive Organ Disorders
    Autorzy:
    Grosman, Jerzy
    Kowerski, Mieczysław
    Powiązania:
    https://bibliotekanauki.pl/articles/465998.pdf
    Data publikacji:
    2011
    Wydawca:
    Główny Urząd Statystyczny
    Tematy:
    Rehabilitation of locomotive organ disorders
    Weiss test
    multiple- equation model of ordered dependent variable
    maximum likelihood estimation McFadden determination coefficient - pseudo R2
    count R-squared
    probability of the norm in the self-service test
    Opis:
    In the present paper concerning the analysis of the factors determining patient’s self-service during the admission and release from hospital a two-equation model of ordered dependent variables is proposed. These types of models are especially useful when the results of rehabilitation of locomotive organ disorders are not described by means of exact values obtained by mechanical measurements but they are described by means of qualitative valuation (ranking) made by a therapist when the distances between neighbouring ranks are not known. The advantages of the proposed model were presented on the basis of the results of estimation based on data of 4063 patients of hospitals from Mazowieckie and Warmińsko-Mazurskie provinces.
    Źródło:
    Statistics in Transition new series; 2011, 12, 1; 157-178
    1234-7655
    Pojawia się w:
    Statistics in Transition new series
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
      Wyświetlanie 1-11 z 11

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