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Business Experiments With r (en Inglés)
B. D. McCullough
(Autor)
·
Wiley
· Tapa Dura
Business Experiments With r (en Inglés) - McCullough, B. D.
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160,44 €
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Origen: Reino Unido
(Costos de importación incluídos en el precio)
Se enviará desde nuestra bodega entre el
Viernes 05 de Julio y el
Miércoles 17 de Julio.
Lo recibirás en cualquier lugar de España entre 1 y 5 días hábiles luego del envío.
Reseña del libro "Business Experiments With r (en Inglés)"
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.
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