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    Wyświetlanie 1-3 z 3
    Tytuł:
    Estimation of Finite Population Mean Using Deciles of an Auxiliary Variable
    Autorzy:
    Subramani, J.
    Kumarapandiyan, G.
    Powiązania:
    https://bibliotekanauki.pl/articles/466087.pdf
    Data publikacji:
    2013
    Wydawca:
    Główny Urząd Statystyczny
    Tematy:
    mean squared error
    natural populations
    simple random sampling
    Opis:
    The present paper deals with a class of modified ratio estimators for estimation of population mean of the study variable when the population deciles of the auxiliary variable are known. The biases and the mean squared errors of the proposed estimators are derived and compared with that of existing modified ratio estimators for certain known populations. Further, we have also derived the conditions for which the proposed estimators perform better than the existing modified ratio estimators. From the numerical study it is also observed that the proposed modified ratio estimators perform better than the existing modified ratio estimators.
    Źródło:
    Statistics in Transition new series; 2013, 14, 1; 75-88
    1234-7655
    Pojawia się w:
    Statistics in Transition new series
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    On permutation location–scale tests
    Autorzy:
    Polko-Zając, Dominika
    Powiązania:
    https://bibliotekanauki.pl/articles/1186913.pdf
    Data publikacji:
    2019-12-10
    Wydawca:
    Główny Urząd Statystyczny
    Tematy:
    permutation tests
    comparing populations
    test power
    the Lepage test
    the Cucconi test
    Opis:
    Statisticians are constantly looking for methods of statistical inference that would be both effective and would require meeting as few assumptions as possible. Permutation tests seem to fit here, as using them makes it possible to perform statistical inference in situations where classical parametric tests do not work. Permutation tests appear to be comparably powerful to parametric tests, but require meeting fewer assumptions, e.g. regarding the size of the sample or the from of distribution of the tested variable in a population. The presented tests make it possible to verify the overall hypothesis about the identity of both location and scale parameters in the studied populations. In literature, the Lepage test and the Cucconi test are most often referred to in this context. The paper considers various forms of test statistics, and presents a simulation study carried out to determine the size and power of the tests under normality. As the study demonstrated, the advantage of the proposed method is that it can be applied to small-size samples. A nonparametric, complex procedure was used to assess the overall ASL (achieved significance level) value by applying the permutation principle. For comparative purposes, the results for the permutation Lepage test and the permutation Cucconi test are also presented.
    Źródło:
    Statistics in Transition new series; 2019, 20, 4; 153-166
    1234-7655
    Pojawia się w:
    Statistics in Transition new series
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Probability vs. Nonprobability Sampling: From the Birth of Survey Sampling to the Present Day
    Autorzy:
    Kalton, Graham
    Powiązania:
    https://bibliotekanauki.pl/articles/18105097.pdf
    Data publikacji:
    2023-06-13
    Wydawca:
    Główny Urząd Statystyczny
    Tematy:
    Anders Kiaer
    Jerzy Neyman
    representative sampling
    quota sampling
    hard-to-survey populations
    model-dependent inference
    internet surveys
    big data
    administrative records
    Opis:
    At the beginning of the 20th century, there was an active debate about random selection of units versus purposive selection of groups of units for survey samples. Neyman's (1934) paper tilted the balance strongly towards varieties of probability sampling combined with design-based inference, and most national statistical offices have adopted this method for their major surveys. However, nonprobability sampling has remained in widespread use in many areas of application, and over time there have been challenges to the Neyman paradigm. In recent years, the balance has tilted towards greater use of nonprobability sampling for several reasons, including: the growing imperfections and costs in applying probability sample designs; the emergence of the internet and other sources for obtaining survey data from very large samples at low cost and at high speed; and the current ability to apply advanced methods for calibrating nonprobability samples to conform to external population controls. This paper presents an overview of the history of the use of probability and nonprobability sampling from the birth of survey sampling at the time of A. N. Kiaer (1895) to the present day.
    Źródło:
    Statistics in Transition new series; 2023, 24, 3; 1-22
    1234-7655
    Pojawia się w:
    Statistics in Transition new series
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
      Wyświetlanie 1-3 z 3

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