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Applied statisticstheory and problem...

Pilz, Jürgen, (1951-)

Applied statisticstheory and problem solutions with R /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Applied statisticsDieter Rasch, Rob Verdooren, Jürgen Pilz.
Reminder of title:	theory and problem solutions with R /
Author:	Rasch, Dieter.
other author:	Verdooren, L. R.
Published:	Hoboken, NJ :John Wiley & Sons,2020.
Description:	1 online resource.
Subject:	Mathematical statistics
Online resource:	https://onlinelibrary.wiley.com/doi/book/10.1002/9781119551584
ISBN:	9781119551584$q(electronic bk.)

Applied statisticstheory and problem solutions with R /
Rasch, Dieter.

Applied statisticstheory and problem solutions with R /[electronic resource] :Dieter Rasch, Rob Verdooren, Jürgen Pilz. - 1st ed. - Hoboken, NJ :John Wiley & Sons,2020. - 1 online resource.

Includes bibliographical references and index.

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.

ISBN: 9781119551584$q(electronic bk.)Subjects--Topical Terms:

182294
Mathematical statistics

LC Class. No.: QA276

Dewey Class. No.: 519.5

Applied statisticstheory and problem solutions with R /
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245 1 0 $a Applied statistics $h [electronic resource] : $b theory and problem solutions with R / $c Dieter Rasch, Rob Verdooren, Jürgen Pilz.
250 $a 1st ed.
260 $a Hoboken, NJ : $b John Wiley & Sons, $c 2020.
300 $a 1 online resource.
504 $a Includes bibliographical references and index.
520 $a 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.
588 $a Description based on print version record.
650 0 $a Mathematical statistics $3 182294
650 0 $a R (Computer program language) $3 210846
700 1 $a Verdooren, L. R. $3 906532
700 1 $a Pilz, Jürgen, $d 1951- $3 906533
856 4 0 $u https://onlinelibrary.wiley.com/doi/book/10.1002/9781119551584