Notes on Elements of Statistical Learning

Study notes of ‘Elements of Statistical Learning’ written by Hastie, Tibshirani and Friedman. Read the book from the authors’ website https://web.stanford.edu/~hastie/ElemStatLearn/. The supplemental videos at https://www.r-bloggers.com/in-depth-introduction-to-machine-learning-in-15-hours-of-expert-videos/ may also be helpful.

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Notes on Statistical Methods for Reliability Data

Learning notes on the first edition of ‘Statistical Methods for Reliability Data’ written by Meeker & Escobar. Please notes that the notes is NOT a substitution of the book as the notes are highly summarized and organized with my own way. This book covers a broad range of classical models and methods that are frequently used in industry, and the illustrations are very clear to follow for engineers and statisticians. It’s a must have for those who are interested in reliability, applied statistics and/or the practical models that are useful for industry. See the authors’ website http://www.public.iastate.edu/~stat533/meeker_escobar.html for more details on the contents of the book.

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