ESTIMATION OF QUALITY INDICATORS BASED ON SEQUENTIAL MEASUREMENTS ANALYSIS

被引：0
|
作者：
Lomakin, Mikhail [1 ]
Buryi, Alexey [1 ]
Dokukin, Alexander [1 ]
Strekha, Anatoly [1 ]
Niyazova, Julia [2 ]
Balvanovich, Alexander [1 ]
机构：
[1] Russian Sci & Tech Ctr Informat Standardizat Metr, 31,Bldg 2,Nahimov Ave, Moscow 117418, Russia
[2] Moscow State Univ Geodesy & Cartog, 4 Gorokhovsky Lane, Moscow 105064, Russia
来源：
INTERNATIONAL JOURNAL FOR QUALITY RESEARCH | 2020年 / 14卷 / 01期
关键词：
Quality indicator; Data compression; Cluster analysis; Sample; Distribution function; Guaranteed estimation; Probabilistic moments; DISTRIBUTIONS; PERFORMANCE; MANAGEMENT;
D O I：
10.24874/IJQR14.01-10
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
The paper considers the task of evaluating product quality indicators based on the results of measurements obtained during the control testing. Data processing is proposed to be carried out in two stages. First stage comprises data compression via cluster analysis, and the second stage uses the procedure of non-parametric estimation of the observed measurements to evaluate the quality of small samples with an unknown distribution law. Quality scores are defined as guaranteed scores on a set of distributions with moments equal to sample points found from a small sample. A number of theoretical statements are formulated, and a model example is given.
引用
收藏
页码：147 / 162
页数：16
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