Single-stage and two-stage total failure-based group-sampling plans for the Weibull distribution under neutrosophic statistics

Abstract

If the sample or population has vague, inaccurate, unidentified, deficient, indecisive, or fuzzy data, then the available sampling plans could not be suitable to use for decision-making. In this article, an improved group-sampling plan based on time truncated life tests for Weibull distribution under neutrosophic statistics (NS) has been developed. We developed improved single and double group-sampling plans based on the NS. The proposed design neutrosophic plan parameters are obtained by satisfying both producer’s and consumer’s risks simultaneously under neutrosophic optimization solution. Tables are constructed for the selected shape parameter of Weibull distribution and various combinations of neutrosophic group size. The efficiency of the proposed group-sampling plan under the neutrosophic statistical interval method is also compared with the crisp method grouped sampling plan under classical statistics.

Case-Based Reasoning for Hidden Property Analysis of Judgment Debtors

“…Fourth, the case presentation method proposed cannot meet the legal instrument description requirements, so it is necessary to study case presentation based on ontology and the method of extraction of similar case sets. Fifth, considering neutrosophic statistics have some advantages in dealing with vague, indecisive, or fuzzy sample data [43][44][45], we will apply neutrosophic statistics to the hidden property analysis problem.…”

Accurate interval estimation for the risk difference in an incomplete correlated 2 × 2 table: Calf immunity analysis

“…For association (8), since the auxiliary variable u is in the interval ½F n;y ðt À 1Þ; F n;y ðtÞÞ, there exists a weight ω 1 such that…”

“…As an alternative [2], proposed a score test-based CI and, although the score test statistic is undefined in one scenario, the score CI outperforms all other frequentist intervals in terms of the coverage probability. More literature on risk factors and some potential methods can be found in [6][7][8][9][10][11][12][13][14][15].…”

Parameter Estimation and Applications of the Weibull Distribution for Strength Data of Glass Fiber

“…Because of the good properties of the Weibull distribution, it is currently applied in various fields. Many researches have proposed the related distribution, neutrosophic statistics, or extended distribution and discussed its properties and applications, such as Alkarni et al [6], Almongy et al [7], Almetwally et al [8], Ferretti et al [9], Zhao et al [10], Aslam et al [11], Fernández et al [12], Arif and Aslam [13], Aslam et al [14], Aslam [15], Aslam et al [16], Aslam and Arif [17], and Zhang et al [18].…”