Description: Please refer to the section BELOW (and NOT ABOVE) this line for the product details - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - Title:Statistical Methods For Materials Science: The Data Science Of Microstructure CharacterizationISBN13:9780367780289ISBN10:0367780283Author:Simmons, Jeffrey P. (Editor), Drummy, Lawrence F. (Editor), Bouman, Charles A. (Editor)Description:Data Analytics Has Become An Integral Part Of Materials Science This Book Provides The Practical Tools And Fundamentals Needed For Researchers In Materials Science To Understand How To Analyze Large Datasets Using Statistical Methods, Especially Inverse Methods Applied To Microstructure Characterization It Contains Valuable Guidance On Essential Topics Such As Denoising And Data Modeling Additionally, The Analysis And Applications Section Addresses Compressed Sensing Methods, Stochastic Models, Extreme Estimation, And Approaches To Pattern Detection Binding:Paperback, PaperbackPublisher:CRC PressPublication Date:2021-03-31Weight:0 lbsDimensions:Number of Pages:514Language:English
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Book Title: Statistical Methods for Materials Science
Item Length: 10in
Item Width: 7in
Author: Lawrence F. Drummy
Format: Trade Paperback
Language: English
Topic: Materials Science / General, Physics / Condensed Matter, Engineering (General), Probability & Statistics / General
Publisher: Taylor & Francis Group
Publication Year: 2021
Genre: Technology & Engineering, Science, Mathematics
Item Weight: 35 oz
Number of Pages: 514 Pages
