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Practical Acceptance Sampling: A Hands-On Guide [2nd Edition] Paperback – July 14 2016

3.9 out of 5 stars 20 ratings

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About the Author

Galit Shmueli, PhD, is Distinguished Professor at the Institute of Service Science, National Tsing Hua University, Taiwan. She is co-author of the best-selling textbook Data Mining for Business Analytics, among other books and numerous publications in top journals. She has designed and instructed courses on forecasting, data mining, statistics and other data analytics topics at University of Maryland's Smith School of Business, the Indian School of Business, National Tsing Hua University and online at statistics.com.

Product details

  • Publisher ‏ : ‎ Axelrod Schnall Publishers; 2 edition (July 14 2016)
  • Language ‏ : ‎ English
  • Paperback ‏ : ‎ 106 pages
  • ISBN-10 ‏ : ‎ 0991576675
  • ISBN-13 ‏ : ‎ 978-0991576678
  • Item weight ‏ : ‎ 200 g
  • Dimensions ‏ : ‎ 17.78 x 0.61 x 25.4 cm
  • Customer Reviews:
    3.9 out of 5 stars 20 ratings

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Galit Shmueli is Distinguished Professor at the Institute of Service Science, National Tsing Hua University, Taiwan. She is also a visiting scholar at Academia Sinica's Institute of Statistical Science. Between 2011-2014 she was the SRITNE Chaired Professor of Data Analytics and Associate Professor of Statistics & Information Systems at the Indian School of Business. She is best known for her research and teaching in business analytics, with a focus on statistical and data mining methods for contemporary data and applications in information systems and healthcare.

Dr. Shmueli's research has been published in the statistics, management, information systems, and marketing literature. She authored/co-authored over ninety journal articles, books, textbooks and book chapters, including the popular textbook Data Mining for Business Intelligence and Practical Time Series Forecasting. Dr. Shmueli is an award-winning teacher and speaker on data analytics.

She has taught at Carnegie Mellon University, University of Maryland, the Israel Institute of Technology, Statistics.com and the Indian School of Business. Her experience spans business and engineering students and professionals, both online and on-ground. Dr. Shmueli teaches courses on data mining, statistics, forecasting, data visualization, and industrial statistics.

For more information, visit www.galitshmueli.com

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3.9 out of 5 stars
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