Autor: Singh, Rajesh - Katalog OPAC zbiorów

Skocz do pozycji: 1.

Tytuł:: Estimating population coefficient of variation using a single auxiliary variable in simple random sampling
Autorzy:: Singh, Rajesh
Mishra, Madhulika
Powiązania:: https://bibliotekanauki.pl/articles/1186918.pdf
Data publikacji:: 2019-12-10
Wydawca:: Główny Urząd Statystyczny
Tematy:: coefficient of variation
simple random sampling
auxiliary variable
mean square error
Opis:: This paper proposes an improved estimation method for the population coefficient of variation, which uses information on a single auxiliary variable. The authors derived the expressions for the mean squared error of the proposed estimators up to the first order of approximation. It was demonstrated that the estimators proposed by the authors are more efficient than the existing ones. The results of the study were validated by both empirical and simulation studies.
Źródło:: Statistics in Transition new series; 2019, 20, 4; 89-111
1234-7655
Pojawia się w:: Statistics in Transition new series
Dostawca treści:: Biblioteka Nauki

Artykuł

Skocz do pozycji: 2.

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

Skocz do pozycji: 3.

Tytuł:: A General Family of Dual to Ratio-Cum-Product Estimator in Sample Surveys
Autorzy:: Singh, Rajesh
Kumar, Mukesh
Chauhan, Pankaj
Sawan, Nirmala
Smarandache, Florentin
Powiązania:: https://bibliotekanauki.pl/articles/465772.pdf
Data publikacji:: 2011
Wydawca:: Główny Urząd Statystyczny
Tematy:: Family of estimators
auxiliary variables
bias
mean-squared error
Opis:: This paper presents a family of dual to ratio-cum-product estimators for the finite population mean. Under simple random sampling without replacement (SRSWOR) scheme, expressions of the bias and mean-squared error (MSE) up to the first order of approximation are derived. We show that the proposed family is more efficient than usual unbiased estimator, ratio estimator, product estimator, Singh estimator (1967), Srivenkataramana (1980) and Bandyopadhyaya estimator (1980) and Singh et al. (2005) estimator. An empirical study is carried out to illustrate the performance of the constructed estimator over others.
Źródło:: Statistics in Transition new series; 2011, 12, 3; 587-594
1234-7655
Pojawia się w:: Statistics in Transition new series
Dostawca treści:: Biblioteka Nauki

Artykuł

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