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Business Experiments with R
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Business Experiments with R

Business Experiments with R

B. D. McCullough

384 pages, parution le 10/05/2021

Résumé

This book is a guide on experiment designs for business students. It is aimed at an underserved market in business statistics textbooks a book for the "second course" which addresses issues like small samples, lack of normality, and data confounding. The authors focus on the A/B tests (and their variants) that are widely used in industry, but not typically covered in business statistics or data science textbooks. The book is organized so that it can be used both with general business students, such as MBA or executive education students, and with the growing number of master's programs in Business Analytics and Marketing Analytics. Part I provides students with the tools they need to design and analyze two-treatment experiments (i.e., A/B tests) to answer business questions, focusing on the strategic and technical issues involved in designing experiments that will truly a?ect organizations. Part II builds on the foundation in Part I, expanding the multivariable testing.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

Caractéristiques techniques

  PAPIER
Éditeur(s) Wiley
Auteur(s) B. D. McCullough
Parution 10/05/2021
Nb. de pages 384
EAN13 9781119689706

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