Results 21 to 30 of about 642 (182)

Product Acceptance Determination with Measurement Error Using the Neutrosophic Statistics

open access: yesAdvances in Fuzzy Systems, 2019
The variable data is obtained from the measurement process which is not fully complete or clear in nature due to measurement error. The neutrosophic statistics which is the extension of classical statistics can be applied in the industry for the lot ...
Muhammad Aslam
doaj   +1 more source

Multivariate Control Chart based on Neutrosophic Hotelling T2 Statistics and Its Application

open access: yesJTAM (Jurnal Teori dan Aplikasi Matematika), 2022
Under classical statistics Hotelling 〖 T〗^2 control chart is applied when the observations of quality characteristics are precise, exact, or crips data. However, in reality, under uncertain conditions, the observations are not necessarily precise, exact,
Wibawati Wibawati   +4 more
doaj   +1 more source

Neutrosophic Ranked Set Sampling Scheme for Estimating Population Mean: An Application to Demographic Data [PDF]

open access: yesNeutrosophic Sets and Systems
The primary goal of this study is to address the limitations of classical statistics in handling ambiguous or indeterminate data. The best alternative to classical and fuzzy statistics for handling such data uncertainty is neutrosophic statistics, which ...
Rajesh Singh , Anamika Kumari
doaj   +1 more source

Chi-square test for imprecise data in consistency table

open access: yesFrontiers in Applied Mathematics and Statistics, 2023
In this paper, we propose the introduction of a neutrosophic chi-square-test for consistency, incorporating neutrosophic statistics. Our aim is to modify the existing chi-square -test for consistency in order to analyze imprecise data. We present a novel
Muhammad Aslam, Florentin Smarandache
doaj   +1 more source

Design of Sampling Plan for Exponential Distribution Under Neutrosophic Statistical Interval Method

open access: yesIEEE Access, 2018
The sampling plan using the classical statistics under the exponential distribution can be applied only when there are certainty and clearness and in observations and parameters. But, in practice, it is not necessary that under some circumstances all the
Muhammad Aslam
doaj   +1 more source

Analysis of Neutrosophic Multiple Regression [PDF]

open access: yesNeutrosophic Sets and Systems, 2021
The idea of Neutrosophic statistics is utilized for the analysis of the uncertainty observation data. Neutrosophic multiple regression is one of a vital roles in the analysis of the impact between the dependent and independent variables. The Neutrosophic
D. Nagarajan   +3 more
doaj   +1 more source

DUS-neutrosophic multivariate inverse Weibull distribution: properties and applications

open access: yesComplex & Intelligent Systems, 2023
The existing DUS-multivariate inverse Weibull distribution under classical statistics can be applied when all observations in the data are imprecise. In this paper, we introduce DUS-neutrosophic multivariate inverse Weibull distribution that can be used ...
Marwa K. H. Hassan, Muhammad Aslam
doaj   +1 more source

Neutrosophic Analysis of Nutritional Orientation in University Students [PDF]

open access: yesNeutrosophic Sets and Systems, 2022
In the present study, Neutrosophy is used for the analysis of the nutritional orientation of university students. Since this approach is the least treated in the specialized scientific literature, the research arises because of the potential of ...
María Gabriela Balarezo García   +2 more
doaj   +1 more source

Enhancing Neutrosophic Data Analysis: A Review of Neutrosophic Measures and Applications with Neutrostat [PDF]

open access: yesNeutrosophic Sets and Systems
Neutrosophic statistical measures analyze data that is not fully determined, often due to imprecise observations. This type of data presents a major concern in neutrosophic statistics.
Zahid Khan , Katrina Lane Krebs
doaj   +1 more source

Ratio-Type Estimator for Estimating the Neutrosophic Population Mean in Simple Random Sampling under Intuitionistic Fuzzy Cost Function

open access: yesAxioms, 2023
Survey sampling has a wide range of applications in biomedical, meteorological, stock exchange, marketing, and agricultural research based on data collected through sample surveys or experimentation.
Atta Ullah   +3 more
doaj   +1 more source

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