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Statistical Inference for Engineers and Data Scientists
Ebook Download Statistical Inference for Engineers and Data Scientists
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Review
'This book presents a rigorous and comprehensive coverage of the concepts underlying modern statistical inference, and provides a lucid exposition of the fundamental concepts. A distinguishing feature of the book is the large number of thoughtfully constructed examples, which go a long way towards aiding the reader in understanding and assimilating the concepts. As no particular domain expertise is assumed other than probability theory, the book should be widely accessible to a broad readership.' Kannan Ramchandran, University of California, Berkeley'A wide-ranging, rigorous, yet accessible account of hypothesis testing and estimation, the pillars of statistical signal processing, communications, and data science at large.' Tsachy Weissman, STMicroelectronics Chair, Founding Director of the Stanford Compression Forum, Stanford University, California
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Book Description
An up-to-date and mathematically accessible introduction to the tools needed to address modern inference problems in engineering and data science. Richly illustrated with examples and exercises connecting the theory with practice, it is the 'go to' guide for students studying the topic, and an excellent reference for researchers and practitioners.
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Product details
Hardcover: 418 pages
Publisher: Cambridge University Press; 1 edition (January 24, 2019)
Language: English
ISBN-10: 1107185920
ISBN-13: 978-1107185920
Product Dimensions:
7.4 x 0.9 x 9.9 inches
Shipping Weight: 2.2 pounds (View shipping rates and policies)
Average Customer Review:
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Amazon Best Sellers Rank:
#152,289 in Books (See Top 100 in Books)
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