Results 11 to 20 of about 178,636 (293)
Stratified random sampling from streaming and stored data
Distributed and Parallel Databases, 2020 Stratified random sampling (SRS) is a widely used sampling technique for approximate query processing. We consider SRS on continuously arriving data streams and statically stored data sets. We present a tight lower bound showing that any streaming algorithm for SRS over the entire stream must have, in the worst case, a variance that is
Nguyen, Trong +4 more
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Statistica, 2013 This paper proposes a ratio-cum-product estimator of finite population mean in stratified random sampling using information on population means of two auxiliary variables.
Rajesh Tailor +3 more
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Local Sexual Dimorphism Based on Chilotic Index of Human Dried Hip Bone: A Morphometric Study
Proceedings, 2023 Introduction: Human hip bone sexual dimorphism is an important parameter in determining gender of an unknown hipbone, an important point in Anatomy and Anthropology.
Sibgha Fatima +5 more
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Antithetical Stratified Sampling Estimator for Filtering Signals with Discontinuities [PDF]
, 2021 A novel approach to signal filtering using digital alias-free signal processing (DASP) is presented in this paper. We propose an unbiased, fast-converging estimator of the output of a finite impulse response (FIR) continuous-time filter.
Tarczynski, A., Darawsheh, H.
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Modified Estimator of Finite Population Variance under Stratified Random Sampling
Engineering Proceedings, 2023 This paper proposes a generalized estimator of finite population variance using the auxiliary information under stratified random sampling. The expressions for bias and mean square error equations of the proposed estimator up to the first degree of ...
Yahaya Zakari, Isah Muhammad
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FIR Filtering of Discontinuous Signals: A Random-Stratified Sampling Approach [PDF]
, 2020 This paper presents a novel approach, based on random stratified sampling (StSa) technique, to estimate the output of a finite impulse response (FIR) filter when the input signal is either a piecewise-continuous function having first-derivative ...
Tarczynski, A. +3 more
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Comparison of quota sampling and stratified random sampling [PDF]
Biometrics & Biostatistics International Journal, 2021 The possibility that researchers should be able to obtain data from all cases is questionable. There is a need; therefore, this article provides a probability and non-probability sampling. In this paper we studied the differences and similarities of the two with approach that is more of fritter away time, cost sufficient with energy required ...
Rufai Iliyasu, Ilker Etikan
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An Inverse-Occurrence Sampling Approach for Urban Flood Susceptibility Mapping
Remote Sensing, 2023 Data-driven flood susceptibility modeling is an efficient way to map the spatial distribution of flood likelihood. The quality of the flood susceptibility model relies on the learning technique and the data used for learning.
Changpeng Wang +5 more
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Explicit and Implicit Stratified Random Sampling
Explicit stratified random sampling (ESS) and implicit stratified random sampling (ISS) are widely used sampling procedures that use some auxiliary information, which is available for all population units, to design the sample. If this supplementary information is correlated with the study variable, the resulting estimates of the population quantities ...
Wimmer, Victoria
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Determination of Sample Size and Observation Units
International Journal of Assessment Tools in Education, 2019 The purpose of this study was to write programsto define sampling sizes and observation units by probability sampling methodsand to provide an idea for software developers. Thealgorithms of the programs were written in Python 3.
Tülin Acar
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