Zobrazeno 1 - 6
of 6
pro vyhledávání: '"ashkan Shabbak"'
Publikováno v:
مطالعات مدیریت راهبردی, Vol 11, Iss 44, Pp 103-129 (2020)
The management of the labor force is a strategic issue that requires strategic decision-making, strategic environmental analysis, which is clear that having statistics and information is a prerequisite for this. According to the current economic cond
Externí odkaz:
https://doaj.org/article/7085ab3ba4394d949954c9219f018c5d
Publikováno v:
Iranian Journal of Information Processing & Management, Vol 33, Iss 3, Pp 1041-1064 (2018)
Attribute data quality is important object for each databases. If data quality doesn’t useful, Decisions of organizations will not effective. Quality assurance is the new problem in the quality management. This approach flow to data quality managem
Externí odkaz:
https://doaj.org/article/731d79e51e21492c95fbe21994668edf
Publikováno v:
Statistics, Optimization & Information Computing. 9:587-606
Due to the extensive use of high-dimensional data and its application in a wide range of scientifc felds of research, dimensionality reduction has become a major part of the preprocessing step in machine learning. Feature selection is one procedure f
Publikováno v:
Journal of Engineering, Design and Technology. 20:1188-1216
Purpose The purpose of this paper is to develop a distribution management system that determines the path toward lean distribution through teamwork. This system introduces a set of lean distribution initiatives regarding the structural and strategic
Autor:
Habshah Midi, Ashkan Shabbak
Publikováno v:
Mathematical Problems in Engineering, Vol 2012 (2012)
The HotellingT2statistic is the most popular statistic used in multivariate control charts to monitor multiple qualities. However, this statistic is easily affected by the existence of more than one outlier in the data set. To rectify this problem, r
Autor:
Habshah Midi, Ashkan Shabbak
Publikováno v:
Mathematical Problems in Engineering, Vol 2011 (2011)
The classical multivariate CUSUM and EWMA charts are commonly used to detect small shifts in the mean vectors. It is now evident that those charts are easily affected by outliers which may be due to small or moderate changes in the mean vector. In th