Computer Age Statistical Inference: Algorithms, Evidence and Data Science by Bradley Efron and Trevor Hastie is a brilliant read. Modern electronic computation has encouraged a host of new statistical methods that require fewer distributional assumptions than their predecessors and can be applied to more … No programming required. Computer Age Statistical Inference 作者 : Bradley Efron / Trevor Hastie 出版社: Cambridge University Press 副标题: Algorithms, Evidence, and Data Science 出版年: 2016-7-21 页数: 495 定价: USD 74.99 装帧: Hardcover ISBN: 9781107149892 This book is a mathematically accessible and up-to-date introduction to the tools needed to address modern inference problems in engineering and data science, ideal for graduate students taking courses on statistical inference and detection and estimation, and an invaluable reference for researchers and professionals. How to determine null and alternative hypothesis. Download it once and read it on your Kindle device, PC, phones or tablets. Computer Age Statistical Inference The twenty-first century has seen a breathtaking expansion of statistical methodology, both in scope and in influence. 'Computer Age Statistical Inference gives a lucid guide to modern statistical inference for estimation, hypothesis testing, and prediction. Suitable for: Someone with a basic understanding of statistics and statistical notation. Computer Age Statistical Inference: Algorithms, Evidence, and Data Science (Institute of Mathematical Statistics Monographs Book 5) - Kindle edition by Efron, Bradley, Hastie, Trevor. Computer Age Statistical Inference. Machine learning. The book seamlessly integrates statistical thinking with computational thinking, while covering a broad range of powerful algorithms for learning from data. Search: (Insightful "bedside" reading.) Computer Age Statistical Inference: Algorithms, Evidence, and Data Science, by Efron & Hastie, 2016, Cambridge. Course Objectives, Syllabus, and Notes STAT 5380 aims to provide a solid theoretical foundation for statistical inference (estimation and testing). Large scale hypothesis testing. Read for free here. ★ Computer Age Statistical Inference: Algorithms, Evidence, and Data Science: Add an external link to your content for free. Most of our familiar statistical methods, such as hypothesis testing, linear regression, analysis of variance, and maximum likelihood estimation, were designed to be implemented on mechanical calculators. What is hypothesis testing. “Big data,” “data science,” and “machine learning” have become familiar terms in the news, as statistical methods are brought to bear upon the If you are only ever going to buy one statistics book, or if you are thinking of updating your library and retiring a dozen or so dusty stats texts, this book would be an excellent choice. Main topics covered: Bayesian and frequentist inference. by Bradley Efron and Trevor Hastie. What is statistical inference. Image: Deep learning.
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