Results 51 to 60 of about 122 (69)
Dealing with missing data under stratified sampling designs where strata are study domains. [PDF]
J Appl StatRodríguez CE +2 more
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Smoothed model-assisted small area estimation of proportions. [PDF]
Can J StatGao PA, Wakefield J.
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Next-Generation Matrices and Basic Reproductive Numbers for All Phases of the Coronavirus Disease
, 2020 Fosu GO, Akweittey E, Adu-Sackey A.
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Stratified Sampling: Some Associated Problems
Calcutta Statistical Association, Bulletin, 2023Stratified sampling has been commonly used in many large-scale surveys. The two inter-related problems of determining strata boundaries where strata have to be developed using some variable(s) whose values can be accessed while designing the survey and ...
S. Mukherjee, Retd. Professor
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Global-Local Priors for Spatial Small Area Estimation
Calcutta Statistical Association, Bulletin, 2023Small area estimation is gaining increasing popularity among survey statisticians. Since the direct estimates of small areas usually have large standard errors, model-based approaches are often adopted to borrow strength across areas.
Xueying Tang, Malay Ghosh
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Efficient Estimation of a Scale Parameter of Bivariate Lomax Distribution by Ranked Set Sampling
, 2021Ranked set sampling (RSS) is an efficient technique for estimating parameters and is applicable whenever ranking on a set of sampling units can be done easily by a judgment method or based on an auxiliary variable.
R. Koshti, K. Kamalja
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Calcutta Statistical Association, Bulletin
In survey sampling, the problem of correlated measurement errors (CMEs) was initially addressed using conventional estimators under simple random sampling (SRS) and ranked set sampling (RSS).
Shashi Bhushan, Anoop Kumar
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In survey sampling, the problem of correlated measurement errors (CMEs) was initially addressed using conventional estimators under simple random sampling (SRS) and ranked set sampling (RSS).
Shashi Bhushan, Anoop Kumar
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Calcutta Statistical Association, Bulletin
In this article, we have proposed a difference-cum-exponential type estimator for estimating population mean by using information on two auxiliary variables under non-response, in which the expressions of bias and mean square error of the proposed ...
Udita Gupta +3 more
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In this article, we have proposed a difference-cum-exponential type estimator for estimating population mean by using information on two auxiliary variables under non-response, in which the expressions of bias and mean square error of the proposed ...
Udita Gupta +3 more
semanticscholar +1 more source
Improved ratio-type estimators of finite population variance using quartiles
, 2014H. P. Singh, S. K. Pal, R. Solanki
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