Presenting data effectively is crucial for decision making. In public health, data arrive from multiple geographical locations and from multiple sources (labs, hospitals, health facilities, etc.). The ability to present such data by using effective charts is needed for creating reports and presentations that highlight the information.
Lots of studies are based on simulating count data from a Poisson distribution. Many simulate multiple Poisson variables that should be correlated, but are simplistically generated as independent. Our just-published paper "On Generating Multivariate Poisson Data in Management Science Applications" co-authored with Inbal Yahav introduces a practical method for simulating correlated multivariate Poisson count data -- highly useful in many applications!
Forecasting Analytics! Learn about popular forecasting methods and how to implement them in practice through a hands-on online course. I'll be instructing a 4-week Forecasting course on statistics.com. This is a practical course that introduces forecasting methods, performance evaluation, and much more. The course is of interest to practitioners in business, environmental sciences, agriculture, tourism and more. It is also useful for instructors developing a new forecasting analytics course.
Prof. Galit Shmueli, Institute of Service Science, College of Technology Management, National Tsing Hua University, 101 Kuang Fu Road Sec. 2, Hsinchu 30013 Taiwan
