Kinescope Classification using Mathematical Statistics Methods

Authors

  • J. Kruopis Vilnius University
  • R. Levulienė Vilnius University
  • S. Grobovas AB „Ekranas”
  • A. Vaišvila AB „Ekranas”

Abstract

The product classification possibilities using technological characteristics, product parameter measurements and information supplied by users are presented in this paper. The classification rule using logistic regression methods was obtained by comparing data arrays of reclamation and non-reclamation items. The precision of proposed rule was discussed. The proposed method was applied to classify colour kinescopes at joint-stock company “Ekranas” in Panevėžys. These methods could be applied to the other products, if the system for gathering and storing information about each product exists. Bibl. 5 (in Lithuanian; summaries in Lithuanian, English and Russian).

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Published

2005-05-20

How to Cite

Kruopis, J., Levulienė, R., Grobovas, S., & Vaišvila, A. (2005). Kinescope Classification using Mathematical Statistics Methods. Elektronika Ir Elektrotechnika, 61(5), 42-48. Retrieved from https://eejournal.ktu.lt/index.php/elt/article/view/10440

Issue

Vol. 61 No. 5 (2005)

Section

T 170 ELECTRONICS

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