Applied statistics : theory and problem solutions with R / Dieter Rasch, Rob Verdooren, Jürgen Pilz.

Format:

Book

Author/Creator:

Rasch, Dieter, author.

Verdooren, L. R., author.

Pilz, Jürgen, 1951- author.

Language:

English

Subjects (All):

Mathematical statistics--Problems, exercises, etc.

Mathematical statistics.

R (Computer program language).

Physical Description:

1 online resource (512 pages)

Edition:

1st edition

Place of Publication:

Hoboken, New Jersey ; Chichester, West Sussex, England : Wiley, [2020]

System Details:

text file

Summary:

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 over theoretical approach to the subject of applied statistics Provides a pre-experimental as well as post-experimental approach to applied statistics Features classroom tested material Applicable to a wide range of people working in experimental design and all empirical sciences Includes 300 different procedures with R and examples with R-programs for the analysis and for determining minimal experimental sizes Applied Statistics: Theory and Problem Solutions with R will appeal to experimenters, statisticians, mathematicians, and all scientists using statistical procedures in the natural sciences, medicine, and psychology amongst others.

Notes:

Description based on print version record.

Includes bibliographical references and index.

ISBN:

9781119551546

1119551544

9781119551584

1119551587

9781119551553

1119551552

OCLC:

1117710100