Research Article Open Access

Adjusted Transformation Methods for Reproduction Quality Control

Emmanouil-Nektarios Kalligeris1, Alex Karagrigoriou1, Kostantinos Ladopoulos1 and Christina Parpoula1
  • 1 Lab of Statistics and Data Analysis, Greece

Abstract

n this paper we introduce adjusted transformation methods for off-line quality control. The proposed methods result in proper performance measures for the determination of the controllable factors that affect the mean and variability of the response variable of interest. The details of the proposed adjusted transformations are provided and compared with the well-known Box and Coxtransformation and the safeguard method of Logothetis. The performance abilities of the proposed methodology are demonstrated on quality control data, considering both a real dataset and a simulated one.

Journal of Mathematics and Statistics
Volume 15 No. 1, 2019, 273-279

DOI: https://doi.org/10.3844/jmssp.2019.273.279

Submitted On: 26 July 2019 Published On: 22 October 2019

How to Cite: Kalligeris, E., Karagrigoriou, A., Ladopoulos, K. & Parpoula, C. (2019). Adjusted Transformation Methods for Reproduction Quality Control. Journal of Mathematics and Statistics, 15(1), 273-279. https://doi.org/10.3844/jmssp.2019.273.279

  • 1,269 Views
  • 590 Downloads
  • 0 Citations

Download

Keywords

  • Quality Control
  • Adjusted Transformation Methods
  • Control Factors
  • Performance Measures
  • ANOVA