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    Tytuł:
    Discussion of “Probability vs. Nonprobability Sampling: From the Birth of Survey Sampling to the Present Day” by Graham Kalton
    Autorzy:
    Gershunskaya, Julie
    Lahiri, Partha
    Powiązania:
    https://bibliotekanauki.pl/articles/18105111.pdf
    Data publikacji:
    2023-06-13
    Wydawca:
    Główny Urząd Statystyczny
    Opis:
    -
    Źródło:
    Statistics in Transition new series; 2023, 24, 3; 31-37
    1234-7655
    Pojawia się w:
    Statistics in Transition new series
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Estimation of mask effectiveness perception for small domains using multiple data sources
    Autorzy:
    Sen, Aditi
    Lahiri, Partha
    Powiązania:
    https://bibliotekanauki.pl/articles/2028543.pdf
    Data publikacji:
    2022-03-15
    Wydawca:
    Główny Urząd Statystyczny
    Tematy:
    cross-validation
    jackknife
    survey data
    synthetic estimation
    Opis:
    Understanding the impacts of pandemics on public health and related societal issues at granular levels is of great interest. COVID-19 is affecting everyone in the globe and mask wearing is one of the few precautions against it. To quantify people's perception of mask effectiveness and to prevent the spread of COVID-19 for small areas, we use Understanding America Study's (UAS) survey data on COVID-19 as our primary data source. Our data analysis shows that direct survey-weighted estimates for small areas could be highly unreliable. In this paper, we develop a synthetic estimation method to estimate proportions of perceived mask effectiveness for small areas using a logistic model that combines information from multiple data sources. We select our working model using an extensive data analysis facilitated by a new variable selection criterion for survey data and benchmarking ratios. We suggest a jackknife method to estimate the variance of our estimator. From our data analysis, it is evident that our proposed synthetic method outperforms the direct survey-weighted estimator with respect to commonly used evaluation measures.
    Źródło:
    Statistics in Transition new series; 2022, 23, 1; 1-20
    1234-7655
    Pojawia się w:
    Statistics in Transition new series
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Spatial Prediction in Small Area Estimation
    Autorzy:
    Vogt, Martin
    Lahiri, Partha
    Münnich, Ralf
    Powiązania:
    https://bibliotekanauki.pl/articles/18105151.pdf
    Data publikacji:
    2023-06-13
    Wydawca:
    Główny Urząd Statystyczny
    Tematy:
    Fay-Herriot
    CAR
    poverty estimation
    spatial models
    Opis:
    Small area estimation methods have become a widely used tool to provide accurate estimates for regional indicators such as poverty measures. Recent research has provided evidence that spatial modelling still can improve the precision of regional and local estimates. In this paper, we provide an intrinsic spatial autocorrelation model and prove the propriety of the posterior under a flat p rior. F urther, we show using the SAIPE poverty data that the gain in efficiency using a spatial model can be essentially important in the presence of a lack of strong auxiliary variables.
    Źródło:
    Statistics in Transition new series; 2023, 24, 3; 77-94
    1234-7655
    Pojawia się w:
    Statistics in Transition new series
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Triple-goal Estimation of Unemployment Rates for U.S. States Using the U.S. Current Population Survey Data
    Autorzy:
    Bonnéry, Daniel
    Cheng, Yang
    Ha, Neung Soo
    Lahiri, Partha
    Powiązania:
    https://bibliotekanauki.pl/articles/465991.pdf
    Data publikacji:
    2015
    Wydawca:
    Główny Urząd Statystyczny
    Tematy:
    complex survey data
    empirical distribution function
    Monte Carlo Markov Chain
    rank
    risk
    small area estimation
    Opis:
    In this paper, we first develop a triple-goal small area estimation methodology for simultaneous estimation of unemployment rates for U.S. states using the Current Population Survey (CPS) data and a two-level random sampling variance normal model. The main goal of this paper is to illustrate the utility of the triple-goal methodology in generating a single series of unemployment rate estimates for three separate purposes: developing estimates for individual small area means, producing empirical distribution function (EDF) of true small area means, and the ranking of the small areas by true small area means. We achieve our goal using a Monte Carlo simulation experiment and a real data analysis.
    Źródło:
    Statistics in Transition new series; 2015, 16, 4; 511-522
    1234-7655
    Pojawia się w:
    Statistics in Transition new series
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Dengue virus (NS2B/NS3 protease) protein engineering. Part I: An automated design for hotspots stability and site-specific mutations by using HotSpot Wizard 3.0 tool
    Autorzy:
    Lahiri, Madhumita
    Ghosh, Ipsita
    Talukdar, Partha
    Talapatra, Soumendra Nath
    Powiązania:
    https://bibliotekanauki.pl/articles/1062840.pdf
    Data publikacji:
    2019
    Wydawca:
    Przedsiębiorstwo Wydawnictw Naukowych Darwin / Scientific Publishing House DARWIN
    Tematy:
    HotSpot Wizard
    NS2B/NS3 protease
    Non-structural protein
    computational tool
    protein engineering
    Opis:
    The non-structural dengue virus (DNV) protein, DNV-2 NS2B/NS3 protease is a combination of two proteins as 2B and 3 and these two proteins in complex replicate faster during dengue fever. The objective of the present study was to detect hot spots and design of smart libraries for engineering protein stability, substrate specificity, tunnels and cavities as well as suitable mutability position of studied protein by using an online tool, HotSpot Wizard (version 3.0). The prediction results were obtained in output interface for functional hot spots, stability hot spots (structural flexibility), correlated hot spots and stability hot spots (sequence consensus) from the sequence string. It is concluded that the prediction of pocket and mutability of this protein can easily be identified the structural alternation especially in disease diagnosis and space for ligand binding site in pocket for the potential of new drug design. Moreover, this computational prediction is suggested to compare with experimental hotspots for studied protein in relation to therapeutic efficacies, which are lacking to prevent viral infection.
    Źródło:
    World Scientific News; 2019, 127, 3; 177-190
    2392-2192
    Pojawia się w:
    World Scientific News
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
      Wyświetlanie 1-5 z 5

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