Beschreibung
Produktdetails
Einband
Gebundene Ausgabe
Erscheinungsdatum
12.02.2021
Verlag
John Wiley & SonsSeitenzahl
384
Maße (L/B/H)
23.5/15.7/2.5 cm
Gewicht
688 g
Auflage
1. Auflage
Sprache
Englisch
ISBN
978-1-119-68970-6
BUSINESS EXPERIMENTS with R
A unique text that simplifies experimental business design and is dedicated to the R language
Business Experiments with R offers a guide to, and explores the fundamentals of experimental business designs. The book fills a gap in the literature to provide a text on the topic of business statistics that addresses issues such as small samples, lack of normality, and data confounding. The author--a noted expert on the topic--puts the focus on the A/B tests (and their variants) that are widely used in industry, but not typically covered in business statistics textbooks.
The text contains the tools needed to design and analyze two-treatment experiments (i.e., A/B tests) to answer business questions. The author highlights the strategic and technical issues involved in designing experiments that will truly affect organizations. The book then builds on the foundation in Part I and expands the multivariable testing. Since today's companies are using experiments to solve a broad range of problems, Business Experiments with R is an essential resource for any business student. This important text:
* Presents the key ideas that business students need to know about experiments
* Offers a series of examples, focusing on a specific business question
* Helps develop the ability to frame ill-defined problems and determine what data and analysis would provide information about that problem
Written for students of general business, marketing, and business analytics, Business Experiments with R is an important text that helps to answer business questions by highlighting the strategic and technical issues involved in designing experiments that will truly affect organizations.
A unique text that simplifies experimental business design and is dedicated to the R language
Business Experiments with R offers a guide to, and explores the fundamentals of experimental business designs. The book fills a gap in the literature to provide a text on the topic of business statistics that addresses issues such as small samples, lack of normality, and data confounding. The author--a noted expert on the topic--puts the focus on the A/B tests (and their variants) that are widely used in industry, but not typically covered in business statistics textbooks.
The text contains the tools needed to design and analyze two-treatment experiments (i.e., A/B tests) to answer business questions. The author highlights the strategic and technical issues involved in designing experiments that will truly affect organizations. The book then builds on the foundation in Part I and expands the multivariable testing. Since today's companies are using experiments to solve a broad range of problems, Business Experiments with R is an essential resource for any business student. This important text:
* Presents the key ideas that business students need to know about experiments
* Offers a series of examples, focusing on a specific business question
* Helps develop the ability to frame ill-defined problems and determine what data and analysis would provide information about that problem
Written for students of general business, marketing, and business analytics, Business Experiments with R is an important text that helps to answer business questions by highlighting the strategic and technical issues involved in designing experiments that will truly affect organizations.
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