Results 11 to 20 of about 71,732 (244)
An Efficient General Family of Estimators for Population Mean in the Presence of Non-Response
Journal of Mathematical and Fundamental Sciences, 2017 This paper presents a new general family of estimators to estimate the population mean of study variable y in the presence of non-response when utilizing a known coefficient of variation of study variable y.
Thanapanang Rachokarn, Nuanpan Lawson
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Estimation of a Distribution function under Sampling on Two Occasions
Nonlinear Analysis, 2009 Estimation of the distribution function under sampling on two occasions with a simple random sampling design on each occasion is investigated. Composite regression and ratio type estimators are considered, using values of the study variable as auxiliary ...
V. Chadyšas
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Discriminative Density-ratio Estimation [PDF]
Proceedings of the 2014 SIAM International Conference on Data Mining, 2014 The covariate shift is a challenging problem in supervised learning that results from the discrepancy between the training and test distributions. An effective approach which recently drew a considerable attention in the research community is to reweight the training samples to minimize that discrepancy.
Yun-Qian Miao +2 more
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The generalization of ratio-cum product estimator for the arbitrary sample design
Lietuvos Matematikos Rinkinys, 2009 The generalization of a dual to ratio-cum-product estimator of the finite population total for the arbitrary sample design is given. The approximate variance is calculated and variance estimator is constructed.
Ignas Bartkus, Aleksandras Plikusas
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International Journal of Bio-Resource and Stress Management, 2023 Auxiliary variable is commonly used in survey sampling to improve the precision of estimates. Whenever there is auxiliary information available, the researchers want to utilize it in the method of estimation to obtain the most efficient estimator ...
Nitu Mehta (Ranka), Latika Sharma
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A Class of Estimators for Estimating the Variance of the Ratio Estimator
JOURNAL OF THE JAPAN STATISTICAL SOCIETY, 2004 Summary: We have proposed a class of estimators for the variance of the ratio estimator which includes two standard estimators \(V_0\), \(V_2\) and the estimators \(V_H\) and \(V_3\) suggested by \textit{R. M. Royall} and \textit{K. R. Eberhardt} [Sankya, Ser. C 37, 43--52 (1975; Zbl 0335.62007)] and \textit{C. F.
Upadhyaya, Lakshmi N. +2 more
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Interval Estimation for the Sortino Ratio and the Omega Ratio [PDF]
Communications in Statistics - Simulation and Computation, 2013 In this article, asymptotic confidence intervals (CIs) for the Sortino and Omega ratios are proposed and analyzed. First, the CIs are derived under the assumption of temporal independence and identical distribution of returns. Later they are obtained assuming that the returns process is strictly stationary and α-mixing of a certain size.
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On Some Predictive Ratio Type Estimators in Two Stage Sampling [PDF]
Journal of Statistical Theory and Applications (JSTA), 2013 Some predictive ratio type estimators in two stage sampling are derived following the model free predictive criterion proposed by Basu (1971) and these estimators are compared with the classical multistage ratio estimator and also with Smith’s (1969 ...
A.K.P.C. Swain +2 more
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Ratio estimation in SIMS analysis [PDF]
Nuclear Instruments and Methods in Physics Research Section B: Beam Interactions with Materials and Atoms, 2011 The determination of an isotope ratio by secondary ion mass spectrometry (SIMS) traditionally involves averaging a number of ratios collected over the course of a measurement. We show that this method leads to an additive positive bias in the expectation value of the estimated ratio that is approximately equal to the true ratio divided by the counts of
Ogliore, R. C. +2 more
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A Ratio Estimator Under General Sampling Design
Austrian Journal of Statistics, 2016 Recently, many authors introduced ratio-type estimators for estimating the mean, or the ratio, for a finite populations. Most of the articles are discussing this problem under simple random sampling design, with more assumptions on the auxiliary variable
Jehad Al-Jararha +1 more
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