Issues‎ > ‎vol17n3‎ > ‎

Determining the Basic Variables for Diagnosis of Patients With Thyroid Gland By Using S/N Ratio Methods.

Kawa M. Jamal Rashid

Department of Statistics, College of Administrations and Economics, Sulaimani University, Sulaimani, Iraq

There are many situations in which the simultaneous monitoring or control of two or
more related quality characteristics is necessary. Multivariate analysis utilize the
additional information due to the relationships among the variables and these concepts
may be used to develop more efficient control charts than the simultaneous operation of
several university control charts. The most popular multivariate statistical process
control SPC are the Hotelling's T2

chart. In this paper the S/N ratio is analyzed and
response effect level are calculated with optimizing the response effect level And to
explain which of variable is important and necessary to test the chemical analysis in
Thyroid gland.

Key Words: HotellingT2 .chart Signal-to-noise ratio S/N.


1- Alwan Layth C., (2000) (Statistical Process Analysis ,ISBN 0-256-11939-2 .
2- Cudney ,E.A. Hong ,J. ,Taguchi,G. :(2007) (An Evaluation of Mahalanobis-Taguchi System and Neural Network for
Multivariate Pattern Recognition) Journal ofIndustrial and Systems Engineering Vol. 1, No. 2, pp 139 -150
3- Chen,Y. and Phillips,J. :(2008) (ECU Software Abnormal Behavior Detection Based On Mahalanobis-Taguchi
Technique), World Congress Detroit Michigan April..
4- Douglasc . Montgoery (2000), Introduction to Statistica Quality Control , six edtion
5- Elizabeth A. 1, Kioumars Paryani2*, and Kenneth M. Ragsdell3 (Applying the Mahalanobis–Taguchi System to
Vehicle Handling CONCURRENT ENGINEERING: Research and Applications [Ver: 8.07r/W] [27.10.2006–10:06am]
[1–12] [Page No. 12] FIRST PROOFS {SAGE_FPP}Cer/CER 073568.3d (CER) Paper: CER 073568 Keyword
6-Ratna B. and Nanua S. Tool- Condition Monitoring From Degradation Signal
Using Mahalanbis –Taguchi System Analysis
7- Ron S. Kenett ,KPA Ltd., Raanana, Israel , Multivariate Statistical Process Control: an introduction, Univ. of
Torino, Torino, Italy Center for Risk Engineering, NYU Poly, New York, USA [email protected] Univ. of Torino,
Torino, Italy , Center for Risk Engineering, NYU Poly, New York, USA [email protected] Statistical methods
applied in microelectronics Dipartimento di Scienze Statistiche Università Cattolica del Sacro Cuore Milan, 13/6/2011
HISTORICAL ,PERSPECTIVE, Yildiz Technical University,Economics and Administrative Sciences
Faculty,Department of Business Administration
80750 Yildiz-Besiktas /ISTANBUL Tel.: 90-212-259 70 70 /2770 or 2795 or 2754 Fax: 90-212-259 42 02e-mail:
9- Taguchi ,G, Jugulum, R. :(2002) (The Mahalanobis –Taguchi Strategy) Jouhn Wiley &Sons New York -USA)
10- Taguchi ,G., Chowdhury ,S. Wu,Y. (2005) (TAGUCHI’S Quality Engineering Handbook ) -USA –WILEY
11- Taguchi G, and J. Rajesh :2000 “New Trends In Multivariate Diagnosis “ The Indian Journal of statistics Vol. 62,
Series B, Pt.2,pp.233-248
12-Wang , H.C. , Chiu ,C.C. (2004):(Data Classification using the Mahalanobis–Taguchi System) ,Journal of the
Chinese Institute of Industrial Engineers, Vol. 21, No. 6, pp. 606-618