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Applied Statistics (Theory and Problem Solutions with R) by Rasch, Dieter; Verdooren, Rob; Pilz, Jürgen is a scholarly article available to read on EtoBox.

What is Applied Statistics (Theory and Problem Solutions with R) about?

Instructs readers on how to use methods of statistics and experimental design with R software Applied statistics covers both the theory and the application of modern statistical and mathematical modelling techniques to applied problems in industry, public services, commerce, and research. It proceeds from a strong theoretical background, but it is practically oriented to develop one's ability to tackle new and non-standard problems confidently. Taking a practical approach to applied statistics, this user-friendly guide teaches readers how to use methods of statistics and experimental design without going deep into the theory. Applied Statistics: Theory and Problem Solutions with R includes chapters that cover R package sampling procedures, analysis of variance, point estimation, and more. It follows on the heels of Rasch and Schott's Mathematical Statistics via that book's theoretical background-taking the lessons learned from there to another level with this book's addition of instructions on how to employ the methods using R. But there are two important chapters not mentioned in the theoretical back ground as Generalised Linear Models and Spatial Statistics. -Offers a practical o

Author

Rasch, Dieter; Verdooren, Rob; Pilz, Jürgen

Publisher

John Wiley & Sons, Ltd

Published

2019

Language

EN

ISBN

9781119551546