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    Wyświetlanie 1-5 z 5
    Tytuł:
    A Ratio-Cum-Product Estimator of Finite Population Mean in Systematic Sampling
    Autorzy:
    Tailor, Rajesh
    Jatwa, Narendra K.
    Singh, Housila P.
    Powiązania:
    https://bibliotekanauki.pl/articles/465754.pdf
    Data publikacji:
    2014
    Wydawca:
    Główny Urząd Statystyczny
    Tematy:
    systematic sampling ratio-cum-product estimator
    bias
    mean squared error
    Opis:
    In this paper we consider the problem of estimation of population mean using information on two auxiliary variables in systematic sampling. We have extended Singh (1967) estimator for estimation of population mean in systematic sampling. We have derived the expressions for the bias and mean squared error of the suggested estimator up to the first degree of approximation. We have compared the suggested estimator with existing estimators and obtained the conditions under which the suggested estimator is more efficient. An empirical study has been carried out to demonstrate the performance of the suggested estimator.
    Źródło:
    Statistics in Transition new series; 2014, 15, 3; 391-398
    1234-7655
    Pojawia się w:
    Statistics in Transition new series
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Some classes of modified ratio type estimators in sample surveys
    Autorzy:
    Swain, A. K. P. C.
    Das, Manjula
    Powiązania:
    https://bibliotekanauki.pl/articles/466061.pdf
    Data publikacji:
    2015
    Wydawca:
    Główny Urząd Statystyczny
    Tematy:
    ratio type estimator
    simple random sampling
    bias
    mean square error
    efficiency
    Opis:
    In this paper some classes of modified ratio type estimators with additive and multiplicative adjustments made to the simple mean per unit estimator and classical ratio estimator are suggested to obtain more efficient ratio type estimators compared to the classical one. Their biases and mean square errors are obtained and compared with first order approximations.
    Źródło:
    Statistics in Transition new series; 2015, 16, 1; 37-52
    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
    Tytuł:
    Ratio-To-Regression Estimator In Successive Sampling Using One Auxiliary Variable
    Autorzy:
    Ralte, Zoramthanga
    Das, Gitasree
    Powiązania:
    https://bibliotekanauki.pl/articles/973550.pdf
    Data publikacji:
    2015
    Wydawca:
    Główny Urząd Statystyczny
    Tematy:
    ratio-to-regression estimator
    auxiliary variable
    successive sampling
    bias
    mean square error
    optimum replacement policy
    Opis:
    The problem of estimation of finite population mean on the current occasion based on the samples selected over two occasions has been considered. In this paper, first a chain ratio-to-regression estimator was proposed to estimate the population mean on the current occasion in two-occasion successive (rotation) sampling using only the matched part and one auxiliary variable, which is available in both the occasions. The bias and mean square error of the proposed estimator is obtained. We proposed another estimator, which is a linear combination of the means of the matched and unmatched portion of the sample on the second occasion. The bias and mean square error of this combined estimator is also obtained. The optimum mean square error of this combined estimator was compared with (i) the optimum mean square error of the estimator proposed by Singh (2005) (ii) mean per unit estimator and (iii) combined estimator suggested by Cochran (1977) when no auxiliary information is used on any occasion. Comparisons are made both analytically as well as empirically by using real life data.
    Źródło:
    Statistics in Transition new series; 2015, 16, 2; 183-202
    1234-7655
    Pojawia się w:
    Statistics in Transition new series
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Missing data estimation based on the chaining technique in survey sampling
    Autorzy:
    Singh Thakur, Narendra
    Shukla, Diwakar
    Powiązania:
    https://bibliotekanauki.pl/articles/2156986.pdf
    Data publikacji:
    2022-12-15
    Wydawca:
    Główny Urząd Statystyczny
    Tematy:
    estimation
    missing data
    chaining
    imputation
    bias
    mean squared error (MSE)
    factor type (F-T)
    chain type estimator
    double sampling
    Opis:
    Sample surveys are often affected by missing observations and non-response caused by the respondents' refusal or unwillingness to provide the requested information or due to their memory failure. In order to substitute the missing data, a procedure called imputation is applied, which uses the available data as a tool for the replacement of the missing values. Two auxiliary variables create a chain which is used to substitute the missing part of the sample. The aim of the paper is to present the application of the Chain-type factor estimator as a means of source imputation for the non-response units in an incomplete sample. The proposed strategies were found to be more efficient and bias-controllable than similar estimation procedures described in the relevant literature. These techniques could also be made nearly unbiased in relation to other selected parametric values. The findings are supported by a numerical study involving the use of a dataset, proving that the proposed techniques outperform other similar ones.
    Źródło:
    Statistics in Transition new series; 2022, 23, 4; 91-111
    1234-7655
    Pojawia się w:
    Statistics in Transition new series
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
      Wyświetlanie 1-5 z 5

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