In this talk, we discuss several control charts for monitoring multivariate processes. These control charts are based on the concept of data depth. We begin with reviewing control charts introduced in Liu (1995). We further construct several new depth based multivariate control charts. Unlike the commonly used multivariate control charts, the charts discussed in this talk are all distribution f...

In environmental hydrodynamics, a research topic that has gained popularity is the transmission and diffusion of water pollutants. Various types change processes in hydrological quality are directly related to meteorological changes. If these changing characteristics classified effectively, this will be conducive application deep learning theory pollution simulation. When periodically monitorin...

Customized birth weight charts that incorporate maternal characteristics are now being adopted into clinical practice. However, there is controversy surrounding the value of these charts in the prediction of growth and perinatal outcomes. The objective of this study was to assess the use of customized charts in predicting growth, defined by body fat percentage, and perinatal morbidity. A total ...

Many congenital diseases are associated with growth failure, and patients with these diseases have specific growth patterns. As the growth patterns of affected individuals differ from those of normal populations, it is challenging to detect additional conditions that can influence growth using standard growth charts. Disease-specific growth charts are thus very useful tools and can be helpful f...

Technical analysis plays an important role in a stock market. Traders using technical to find the trading strategy on market stock. There are some indicators tools that can support analysis, such as Moving Average, Stochastic, and others. Candlestick pattern also parts of used develop since represents behavior. Therefore, understanding indicator will be valuable for traders predict strategy. Th...