Results 31 to 40 of about 345,105 (284)

Improved neutrosophic exponential-ratio estimator of population mean with simple random sampling [PDF]

open access: yesNeutrosophic Sets and Systems
In this paper we present a neutrosophic exponential-ratio estimator for calculating the population mean using simple random sampling. In sampling methods classical statistics always depends on exact and complete data, but when we are dealing with unclear
Bhatt Ravi Jitendrakumar   +2 more
doaj   +1 more source

An Unbiased Estimator of Finite Population Mean Using Auxiliary Information

open access: yesJournal of Statistical Theory and Applications (JSTA), 2021
In this paper, an unbiased estimator is constructed by using a linear combination of an estimator of study variable and mean per unit estimator of an auxiliary variable under simple random sampling without replacement scheme.
B. Mahanty, G. Mishra
doaj   +1 more source

EEG signal classification based on simple random sampling technique with least square support vector machine

open access: yes, 2011
This paper proposes a new approach based on Simple Random Sampling (SRS) technique with Least Square Support Vector Machine (LS-SVM) to classify two-class of electroencephalogram (EEG) signals.
Wen, Peng, Li, Yan
core   +1 more source

Modelling multi-scale microstructures with combined Boolean random sets: A practical contribution [PDF]

open access: yes, 2009
Boolean random sets are versatile tools to match morphological and topological properties of real structures of materials and particulate systems. Moreover, they can be combined in any number of ways to produce an even wider range of structures that ...
Bourgeois, Florent   +2 more
core   +1 more source

Heterozygous loss‐of‐function alleles associate the conserved 3′‐5′ exoribonuclease EXOSC10 with hypersensitivity to the anticancer drug 5‐fluorouracil

open access: yesMolecular Oncology, EarlyView.
EXOSC10, an essential nuclear RNA exosome‐associated 3′‐5′ exoribonuclease, is inhibited by the anticancer drug 5‐fluorouracil (5‐FU), and EXOSC10 depletion increases 5‐FU sensitivity. The colon‐cancer variant EXOSC10S402T, located in a proteolysis motif, is stable and nuclear but nonfunctional in vivo.
Radhika Sain   +10 more
wiley   +1 more source

Enhanced estimation of population mean using simple random sampling

open access: yesResearch in Statistics
The present study suggests an enhanced class of estimators for the population mean estimation utilizing simple random sampling (SRS). The bias, mean square errors (MSE), and minimum MSE of the suggested estimators are computed to the approximation of ...
Anoop Kumar, Asra Sayyed Siddiqui
doaj   +1 more source

Random Sampling-Arithmetic Mean: A Simple Method of Meteorological Data Quality Control Based on Random Observation Thought

open access: yesIEEE Access, 2020
The quality control of meteorological data has lately received great attention for its important significance to national ecological security and military security.
Sen Tian   +4 more
doaj   +1 more source

Resolving the Raven Paradox: Simple Random Sampling, Stratified Random Sampling, and Inference to Best Explanation [PDF]

open access: yes, 2021
Simple random sampling resolutions of the raven paradox relevantly diverge from scientific practice. We develop a stratified random sampling model, yielding a better fit and apparently rehabilitating simple random sampling as a legitimate idealization.
Ward, Barry
core  

Longitudinal genome‐wide aneuploidy measurements in circulating cell‐free DNA to predict lack of benefit from pembrolizumab in patients with metastatic urothelial cancer

open access: yesMolecular Oncology, EarlyView.
Many patients with urothelial cancer do not benefit from treatment with pembrolizumab, while at risk of severe side effects. Changes in the levels of circulating tumor DNA early during treatment, measured by a simple and affordable assay that can be easily implemented in the clinic, can be used as a prognostic tool to identify these patients.
Youssra Salhi   +14 more
wiley   +1 more source

Small area estimation under informative probability sampling of areas and within the selected areas

open access: yes, 2007
In this article we show how to predict small area means and obtain valid MSE estimators and confidence intervals when the areas represented in the sample are sampled with unequal probabilities that are possibly related to the true (unknown) area means ...
Sverchkov, Michail, Pfeffermann, Danny
core   +1 more source

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