Business Experiments with R (eBook)

B. D. McCullough (Autor)

eBook Download: PDF

2021
John Wiley & Sons (Verlag)
978-1-119-68990-4 (ISBN)

Infos

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.

B. D. MCCULLOUGH, PHD, was a Professor in the Department of Decision Sciences & MIS, LeBow College of Business, Drexel University, Philadelphia, PA.

Inhalt

Preface xiii

Suggested courses using this book xv

Acknowledgments xix

1 Why Experiment? 1

2 Analyzing A/B Tests: Basics 49

3 Designing A/B Tests with Large Samples 107

4 Analyzing A/B Tests: Advanced Techniques 127

5 Designing Tests with Small Samples 189

6 Analyzing Designs via Regression 229

7 Two-Level Full Factorial Experiments 281

8 Two-Level Screening Designs 329

9 Custom Design of Experiments 357

10 Epilogue 397

Index 419

Produkt-Details

• Erscheint lt. Verlag: 24.2.2021
• Sprache: englisch
• Themenwelt: Mathematik / Informatik ► Mathematik ► Statistik
• Themenwelt: Mathematik / Informatik ► Mathematik ► Wahrscheinlichkeit / Kombinatorik
• Schlagworte: Business & Management • Computer Science • Database & Data Warehousing Technologies • Data Mining • Data Mining Statistics • Datenbanken u. Data Warehousing • Decision Sciences • Informatik • R (Programm) • Statistics • Statistik • Theorie • Theorie der Entscheidungsfindung • Wirtschaft u. Management
• ISBN-10: 1-119-68990-2 / 1119689902
• ISBN-13: 978-1-119-68990-4 / 9781119689904