A repetitive sampling plan using decision trees method

被引：2

作者：

Azam, Muhammad ^{[1
]}

Aslam, Muhammad ^{[2
]}

Niaki, Seyed Taghi Akhavan ^{[3
]}

机构：

[1] Univ Vet & Anim Sci, Dept Stat & Comp Sci, Lahore 54000, Pakistan

[2] King Abdulaziz Univ, Fac Sci, Dept Stat, Jeddah 21551, Saudi Arabia

[3] Sharif Univ Technol, Dept Ind Engn, POB 11155-9414,Azadi Ave, Tehran 1458889694, Iran

来源：

JOURNAL OF STATISTICS & MANAGEMENT SYSTEMS | 2020年 / 23卷 / 04期

关键词：

Quality control; Acceptance sampling plans; Decision trees; Prediction; Evaluation function; SPLITTING CRITERIA; CLASSIFICATION; INSPECTION; DESIGN;

D O I：

10.1080/09720510.2019.1694738

中图分类号：

O21 [概率论与数理统计]; C8 [统计学];

学科分类号：

020208 ; 070103 ; 0714 ;

摘要：

In this paper, a novel acceptance sampling strategy based on the decision trees approach is proposed to make decisions on either to accept or to reject a submitted lot. The strategy is constructed for the variable repetitive sampling plan using the process capability index. The new decision trees strategy makes decisions in a broader sense by selecting the most influential predictors along with the best splitting points from the values used in the past for inferring any decision on their class. The application of the proposed strategy along is demonstrated using some industrial examples.

引用

页码：789 / 807

页数：19

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