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    Wyświetlanie 1-7 z 7
    Tytuł:
    A new family of robust regression estimators utilizing robust regression tools and supplementary attributes
    Autorzy:
    Sajjad, Irsa
    Hanif, Muhammad
    Koyuncu, Nursel
    Shahzad, Usman
    Al-Noor, Nadia H.
    Powiązania:
    https://bibliotekanauki.pl/articles/1363609.pdf
    Data publikacji:
    2021-03-03
    Wydawca:
    Główny Urząd Statystyczny
    Tematy:
    percentage relative efficiency
    Opis:
    Zaman and Bulut (2018a) developed a class of estimators for a population mean utilising LMS robust regression and supplementary attributes. In this paper, a family of estimators is proposed, based on the adaptation of the estimators presented by Zaman (2019), followed by the introduction of a new family of regression-type estimators utilising robust regression tools (LAD, H-M, LMS, H-MM, Hampel-M, Tukey-M, LTS) and supplementary attributes. The mean square error expressions of the adapted and proposed families are determined through a general formula. The study demonstrates that the adapted class of the Zaman (2019) estimators is in every case more proficient than that of Zaman and Bulut (2018a). In addition, the proposed robust regression estimators based on robust regression tools and supplementary attributes are more efficient than those of Zaman and Bulut (2018a) and Zaman (2019).The theoretical findings are supported by real-life examples.
    Źródło:
    Statistics in Transition new series; 2021, 22, 1; 207-216
    1234-7655
    Pojawia się w:
    Statistics in Transition new series
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Unbiased estimator modeling in unrelated dichotomous randomized response
    Autorzy:
    Adediran, Adetola Adedamola
    Adebola, Femi Barnabas
    Ewemooje, Olusegun Sunday
    Powiązania:
    https://bibliotekanauki.pl/articles/1059019.pdf
    Data publikacji:
    2020-12-04
    Wydawca:
    Główny Urząd Statystyczny
    Tematy:
    dichotomous
    relative efficiency
    sensitive attribute
    Opis:
    The unrelated design has been shown to improve the efficiency of a randomized response method and reduces respondents’ suspicion. In the light of this, the paper proposes a new Unrelated Randomized Response Model constructed by incorporating an unrelated question into the alternative unbiased estimator in the dichotomous randomized response model proposed by Ewemooje in 2019. An unbiased estimate and variance of the model are thus obtained. The variance of the proposed model decreases as the proportion of the sensitive attribute ?_A and the unrelated attribute ?_U increases, in contrast to the earlier Ewemooje model, whose variance increases as the proportion of the sensitive attribute increases. The relative efficiency of the proposed model over the earlier Ewemooje model decreases as ?_U increases when 0.1??_A? 0.3 and increases as ?_U increases when 0.35??_A? 0.45. Application of the proposed model also revealed its efficiency over the direct method in estimating the prevalence of examination malpractices among university students; the direct method gave an estimate of 19.0%, compared to the proposed method’s estimate of 23.0%. Hence, the proposed model is more efficient than the direct method and the earlier Ewemooje model as the proportion of people belonging to the sensitive attribute increases.
    Źródło:
    Statistics in Transition new series; 2020, 21, 5; 119-132
    1234-7655
    Pojawia się w:
    Statistics in Transition new series
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Imputation of missing values by using raw moments
    Autorzy:
    Sohail, Muhammed Umair
    Shabbir, Javid
    Sohil, Fariha
    Powiązania:
    https://bibliotekanauki.pl/articles/1359290.pdf
    Data publikacji:
    2019-04-25
    Wydawca:
    Główny Urząd Statystyczny
    Tematy:
    non-response
    imputation
    raw moments
    relative efficiency
    Opis:
    The estimation of population parameters might be quite laborious and inefficient, when the sample data have missing values. In comparison follow-up visits, the method of imputation has been found to be a cheaper procedure from a cost point of view. In the present study, we can enhance the performance of imputation procedures by utilizing the raw moments of the auxiliary information rather than their ranks, especially, when the ranking of the auxiliary variable is expensive or difficult to do so. Equations for bias and mean squared error are obtained by large sample approximation. Through the numerical and simulation studies it can be easily understood that the proposed method of imputation can outperform their counterparts.
    Źródło:
    Statistics in Transition new series; 2019, 20, 1; 21-40
    1234-7655
    Pojawia się w:
    Statistics in Transition new series
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Developing calibration estimators for population mean using robust measures of dispersion under stratified random sampling
    Autorzy:
    Audu, Ahmed
    Singh, Rajesh
    Khare, Supriya
    Powiązania:
    https://bibliotekanauki.pl/articles/1054567.pdf
    Data publikacji:
    2021-06-04
    Wydawca:
    Główny Urząd Statystyczny
    Tematy:
    calibration
    outliers
    percentage relative efficiency (PRE)
    stratified sampling
    Opis:
    In this paper, two modified, design-based calibration ratio-type estimators are presented. The suggested estimators were developed under stratified random sampling using information on an auxiliary variable in the form of robust statistical measures, including Gini’s mean difference, Downton’s method and probability weighted moments. The properties (biases and MSEs) of the proposed estimators are studied up to the terms of firstorder approximation by means of Taylor’s Series approximation. The theoretical results were supported by a simulation study conducted on four bivariate populations and generated using normal, chi-square, exponential and gamma populations. The results of the study indicate that the proposed calibration scheme is more precise than any of the others considered in this paper.
    Źródło:
    Statistics in Transition new series; 2021, 22, 2; 125-142
    1234-7655
    Pojawia się w:
    Statistics in Transition new series
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Some linear regression type ratio exponential estimators for estimating the population mean based on quartile deviation and deciles
    Autorzy:
    Prasad, Shakti
    Powiązania:
    https://bibliotekanauki.pl/articles/1059039.pdf
    Data publikacji:
    2020-12-04
    Wydawca:
    Główny Urząd Statystyczny
    Tematy:
    Bias
    Mean square error (MSE)
    Auxiliary variable
    Relative Efficiency (%)
    Opis:
    This paper deals some linear regression type ratio exponential estimators for estimating the population mean using the known values of quartile deviation and deciles of an auxiliary variable in survey sampling. The expressions of the bias and the mean square error of the suggested estimators have been derived. It was compared with the usual mean, usual ratio (Cochran (1977)), Kadilar and Cingi (2004, 2006) and Subzar et al. (2017) estimators. After comparison, the condition which makes the suggested estimators more efficient than others is found. To verify the theoretical results, numerical results are performed on two natural population data sets.
    Źródło:
    Statistics in Transition new series; 2020, 21, 5; 85-98
    1234-7655
    Pojawia się w:
    Statistics in Transition new series
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    On the improvement of paired ranked set sampling to estimate population mean
    Autorzy:
    Rehman, Syed Abdul
    Shabbir, Javid
    Powiązania:
    https://bibliotekanauki.pl/articles/1827556.pdf
    Data publikacji:
    2021-09-06
    Wydawca:
    Główny Urząd Statystyczny
    Tematy:
    order statistics
    ranked set sampling
    relative efficiency
    unbiased estimator
    imperfect ranking
    Opis:
    In ecological and environmental sampling the quantification of units is either difficult or overly demanding in terms of the time, money, workload, it requires. For this reason efficient and cost-effective sampling methods need to be devised for data collecting. The most commonly used method for this purpose is the Ranked Set Sampling (RSS). In this paper, a sampling scheme called Improved Paired Ranked Set Sampling (IPRSS) is proposed to estimate the population mean. The performance of the proposed IPRSS is evaluated under perfect and imperfect rankings. A simulation study based on selected hypothetical distributions and a real-life data set showed that IPRSS is more precise than RSS, Paired RSS (PRSS) or Extreme RSS (ERSS).
    Źródło:
    Statistics in Transition new series; 2021, 22, 3; 193-205
    1234-7655
    Pojawia się w:
    Statistics in Transition new series
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Two-stage cluster sampling with unequal probability sampling in the first stage and ranked set sampling in the second stage
    Autorzy:
    Ugwu, Michael C.
    Madukaife, Mbanefo S.
    Powiązania:
    https://bibliotekanauki.pl/articles/2108165.pdf
    Data publikacji:
    2022-09-14
    Wydawca:
    Główny Urząd Statystyczny
    Tematy:
    cluster sampling
    population mean estimator
    probability proportional to size sampling
    ranked set sampling
    relative efficiency
    Opis:
    In this research work we introduce a new sampling design, namely a two-stage cluster sampling, where probability proportional to size with replacement is used in the first stage unit and ranked set sampling in the second in order to address the issue of marked variability in the sizes of population units concerned with first stage sampling. We obtained an unbiased estimator of the population mean and total, as well as the variance of the mean estimator. We calculated the relative efficiency of the new sampling design to the two-stage cluster sampling with simple random sampling in the first stage and ranked set sampling in the second stage. The results demonstrated that the new sampling design is more efficient than the competing design when a significant variation is observed in the first stage units.
    Źródło:
    Statistics in Transition new series; 2022, 23, 3; 199-214
    1234-7655
    Pojawia się w:
    Statistics in Transition new series
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
      Wyświetlanie 1-7 z 7

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