Summary

• Former member of 澳洲幸运5开奖号码历史查询:Investopedia's Financial Review Board
• Professor of statistics at Texas Tech University
• 30+ years of statistics experience including teaching, research, writing, and consulting
• Published over 100 articles on statistical theory and methods
• Former editor of The American Statistician and associate editor of the Journal of the American Statistical Association

Experience

Peter H. Westfall is a distinguished professor of information systems and quantitative sciences at Texas Tech University. He has a PhD in statistics and 30+ years of teaching, research, writing, and consulting experience. Peter teaches and performs statistical research with a focus on advanced statistical methods, regression analysis, multivariate analysis, mathematical statistics, and data mining. His teaching career has garnered several teaching awards. He has also published hundreds of publications covering statistical methods, as well as statistics in investing, technical analysis, and trading.

Peter has written several books, including Understanding Advanced Statistical Methods and Multiple Comparisons and Multiple Tests Using SAS. His publications have been featured in leading statistical journals, including Multivariate Behavioral Research, The American Statistician, Statistics in Biosciences, and the International Journal of Production Economics. In addition to his teaching and research experience, Peter works as a consultant with specialization in the pharmaceutical industry. His career has included roles as editor🐟 of The American Statistician an🦋d Journal of the American Statistical Association. He is also a fellow of both the American Statistical Association and the American Association for the Advancement of Science.

Education

Peter has a💃 Bachelor of Science in mathematics from the University of California at Davis. He also earned his PhD in statistics at the University of California at Davis.

Quote from Peter Westfall

"The main thing you need to know about statistics is that the data target the processes that produced the data."