A statistical framework for a new Kavya-Manoharan Bilal distribution using ranked set sampling and simple random sampling [PDF]
HeliyonIn survival and stochastic lifespan modeling, numerous families of distributions are sometimes considered unnatural, unjustifiable theoretically, and occasionally superfluous.
Anum Shafiq +4 more
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Memory type general class of estimators for population variance under simple random sampling [PDF]
HeliyonWith an emphasis on memory-type approaches, this study presents a class of estimators specifically designed for estimating population variation in simple random sampling (SRS). The term ‘memory-type’ pertaining to the use of exponentially weighted moving
Anoop Kumar +3 more
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Classification of epileptic EEG signals based on simple random sampling and sequential feature selection. [PDF]
Brain Inform, 2016 Electroencephalogram (EEG) signals are used broadly in the medical fields. The main applications of EEG signals are the diagnosis and treatment of diseases such as epilepsy, Alzheimer, sleep problems and so on.
Ghayab HR +4 more
europepmc +2 more sources
Simple random sampling with over-replacement
Journal of Statistical Planning and Inference, 2011 There are several ways to select units with replacement and an equal inclusion expectation. We present a new sampling design called simple random sampling with over-replacement.
Yves Tille
exaly +3 more sources
National health surveys: overview of sampling techniques and data collected using complex designs [PDF]
Epidemiologia e Serviços de Saúde, 2023 This article aimed to present an overview of national health surveys, sampling techniques, and components of statistical analysis of data collected using complex sampling designs.
Célia Landmann Szwarcwald
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Two-stage sampling for better survival model performance [PDF]
BMC Medical Research MethodologyBackground With the emergence of high-dimensional censored survival data in health and medicine, the use of survival models for risk prediction is increasing.
Yunwei Zhang, Samuel Muller
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Scrambling Reports: New Estimators for Estimating the Population Mean of Sensitive Variables
Mathematics, 2023 Warner proposed a methodology called randomized response techniques, which, through the random scrambling of sensitive variables, allows the non-response rate to be reduced and the response bias to be diminished. In this document, we present a randomized
Pablo O. Juárez-Moreno +3 more
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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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Analysis of epileptic EEG signals with simple random sampling J48 algorithm [PDF]
, 2014 This paper describes the application of a Simple Random Sampling J48 (SRS-J48) model for classification of electroencephalogram (EEG) signals. Decision making is performed in two stages: feature extraction and classification.
Zhu, Guohun +4 more
core +1 more source
About the benefits of poststratification in forest inventories
Journal of Forest Science, 2007 A large virtual population is created based on the GIS data base of a forest district and inventory data. It serves as a population where large scale inventories with systematic and simple random poststratified estimators can be simulated and the gains ...
J. Saborowski, J. Cancino
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