Time Series Analysis With Applications in R, Second Edition, presents an accessible approach to understanding time series models and their applications. Although the emphasis is on time domain ARIMA models and their analysis, the new edition devotes two chapters to the frequency domain and three to [...]
Master MINITAB, the leading software package used in industry for quality and process improvement with the MINITAB HANDBOOK: UPDATED FOR RELEASE 14. This book illustrates by example and step-by-step instruction how to use MINITAB 14 to explore and analyze data and uses examples to illustrates how st[...]
Master MINITAB, the leading software package used in industry for quality and process improvement with the MINITAB HANDBOOK: UPDATED FOR RELEASE 16. This book illustrates by example and step-by-step instruction how to use MINITAB 16 to explore and analyze data and uses examples to illustrates how st[...]
Written by developers Barbara Ryan and Brian Joiner, and professor of statistics Jon Cryer, this text illustrates by example and step-by-step instruction how to use Minitab 16 to explore and analyze data. The book introduces readers to Minitab software while understanding that they may also be learn[...]
This book has been developed for a one-semester course usually attended by students in statistics, economics, business, engineering, and quantitative social sciences. A unique feature of this edition is its integration with the R computing environment. Basic applied statistics is assumed through mul[...]