Results 51 to 60 of about 1,687,745 (226)
Construction Of Almost Unbiased Estimator For Population Mean Using Neutrosophic Information [PDF]
In classical statistics, the population mean is estimated using determinate, crisp data value when auxiliary information is known. These estimates can often be biased.
Florentin Smarandache +3 more
doaj +1 more source
Ensemble neural networks using interval neutrosophic sets and bagging [PDF]
This paper presents an approach to the problem of binary classification using ensemble neural networks based on interval neutrosophic sets and bagging technique.
Wong, K.W. +5 more
core +1 more source
Neutrosophic Statistics for Enhanced Time Series Analysis of Unemployment Trends in Ecuador [PDF]
This study harnesses advanced time series models ARIMA, ETS, and SARIMA, coupled with neutrosophic statistics, to forecast unemployment trends through interval-based predictions.
Stephanie M. Delgado Estrada +3 more
doaj +1 more source
Neutrosophic Mean Estimators Using Extreme Indeterminate Observations in Sample Surveys [PDF]
In classical statistics, research typically relies on precise data to estimate the population mean, especially when auxiliary information is available. However, in the presence of outliers, conventional statistical approaches that depend on accurate data
Vinay Kumar Yadav +3 more
doaj +1 more source
ABSTRACT Assessing the sustainability performance of life insurers has become increasingly important, as long‐term competitiveness depends not only on financial soundness but also on environmental, social, organizational, and governance‐related capabilities.
Özcan Işık, İbrahim Adalar
wiley +1 more source
A Novel Family of Hybrid Neutrosophic Estimators for Population Mean Estimation [PDF]
This paper introduces a novel family of hybrid neutrosophic estimators for estimating the population mean when dealing with indeterminate data. Building upon neutrosophic statistics, we propose two innovative estimators that synergistically combine ratio-
Anisha Taneja, Sachin Malik
doaj +1 more source
Time series data analysis under indeterminacy
The existing semi-average method under classical statistics is applied to measure the trend in the time series data. The existing semi-average method cannot be applied when the time series data is in intervals or imprecise.
Muhammad Aslam
doaj +1 more source
ABSTRACT Traditional reward systems, which are largely salary‐centered and structurally rigid, are no longer sufficient in an era defined by digital transformation. Building on this premise, this study examines how emerging technologies reshape integrated compensation systems by uncovering their causal, mediating, and outcome‐oriented roles.
Seyed Hossein Razavi Hajiagha +5 more
wiley +1 more source
Testing of Grouped Product for the Weibull Distribution Using Neutrosophic Statistics [PDF]
Parts manufacturers use sudden death testing to reduce the testing time of experiments. The sudden death testing plan in the literature can only be applied when all observations of failure time/parameters are crisp. In practice however, it is noted that not all measurements of continuous variables are precise.
Muhammad Aslam 0002, Osama H. Arif
openaire +3 more sources

