Data analysis for sequential contingencies under uncertainty

Article Mathematics, Interdisciplinary Applications

On Statistical Development of Neutrosophic Gamma Distribution with Applications to Complex Data Analysis

Zahid Khan et al.

Summary: This paper introduces the concept of neutrosophic gamma distribution (NGD) to address the inadequacy of existing gamma distribution in dealing with uncertain data. The NGD shows better flexibility in handling real data and is suitable for situations with inadequate or ambiguous knowledge.

COMPLEXITY (2021)

Add to Collection

Article Mathematics, Interdisciplinary Applications

Neutrosophic Exponential Distribution: Modeling and Applications for Complex Data Analysis

Wen-Qi Duan et al.

Summary: The study introduces a generalization of the exponential distribution under a neutrosophic environment, describing the mathematical properties of the neutrosophic exponential model and discussing the estimation of neutrosophic parameters through maximum likelihood method. The research demonstrates the effectiveness of simulating studies in evaluating parameter performance, and ultimately analyzes the importance of applying the proposed model in real-world case studies.

COMPLEXITY (2021)

Add to Collection

Article Multidisciplinary Sciences

Vague data analysis using neutrosophic Jarque-Bera test

Muhammad Aslam et al.

Summary: Researchers commonly utilize the Jarque-Bera test in decision-making, but its operational limitations on interval-valued data prompted a modification in this study. The proposed neutrosophic Jarque-Bera test proved to be effective and suitable for assessing normality under uncertainty, as demonstrated through a comparison with the existing test using real gold mines data.

PLOS ONE (2021)

Add to Collection

Article Multidisciplinary Sciences

A new neutrosophic sign test: An application to COVID-19 data

Rehan Ahmad Khan Sherwani et al.

Summary: The Sign test is a famous nonparametric test used to evaluate one or two sample averages when sample size is small or distributional assumptions are not met. However, the test has limitations in handling exact form of data and does not cover interval-valued data. This study proposed a modified version of the Sign test considering indeterminacy, designed for hypothesis testing under uncertain environments.

PLOS ONE (2021)

Add to Collection

Article Computer Science, Information Systems

Neutrosophic Rayleigh Model With Some Basic Characteristics and Engineering Applications

Zahid Khan et al.

Summary: The study introduces the neutrosophic Rayleigh distribution (RDN) and highlights its application in various fields. The proposed V-NR chart outperforms the traditional V-SQR chart in capturing uncertainty on variables, showing superior neutrosophic statistical power.

IEEE ACCESS (2021)

Add to Collection

Article Biotechnology & Applied Microbiology