TY  - JOUR
TT  - Applying Exploratory Data Analysis Techniques in Process Capability
AU  - Özler, Cem
PY  - 2006
DA  - December
JF  - Muğla Üniversitesi Sosyal Bilimler Enstitüsü Dergisi
JO  - İLKE
PB  - Muğla Sıtkı Koçman Üniversitesi
WT  - DergiPark
SN  - 1302-7824
IS  - 16
KW  - Keşfedici Veri Analizi
KW  - Kuvvet Dönüşümü
KW  - Süreç Yetenek Analizi
N2  - Exploratory data analysis (EDA) is an approach for data analysis that employs a variety of techniques to maximize our understanding of a data set and uncover underlying structures. This study gives basic information to most popular EDA techniques which provide quick and easy insight into data structures. Then transformation for symmetry technique which is used for transforming non-symmetric data by a power transformation is introduced. An application of the technique is presented for non-symmetric data observed in a process capability study. After the transformation, symmetric data is used for capability calculations. Pros and cons of using power transformations for process capability analyses are also discussed.
CR  - Huber, P. (1981), Robust Statistics, Wiley, Chichester.
CR  - Hoaglin, D. C., Mosteller, F., ve Tukey, J. W. (1983), Understanding Robust and Exploratory Data Analysis, Wiley, New York.
CR  - Kotz, S. and Johnson, N. L. (1993), Process Capability Indices , Chapman & Hall, London.
CR  - Kotz, S. ve Lovelace, C. R. (1998), Process Capability Indices in Theory and Practice, Arnold, London.
CR  - Montgomery, D. (2001), Introduction to Statistical Quality Control, 4. Baskı, Wiley, New York.
CR  - Tukey, J.W. (1977), Exploratory Data Analysis, Addison-Wesley, Massachusetts.
UR  - https://dergipark.org.tr/tr/pub/musbed/issue//250621
L1  - https://dergipark.org.tr/tr/download/article-file/217311
ER  -