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CRC Press Statistical Methods for Materials Science Book

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Description

Data analytics is now a fundamental part of materials science. This CRC Press publication provides the practical tools and fundamentals required for researchers to analyze large datasets through statistical methods. The text focuses on inverse methods applied to microstructure characterization, offering guidance on essential topics like denoising and data modeling. Beyond basic fundamentals, the book includes an analysis and applications section. This part covers compressed sensing methods, stochastic models, extreme estimation, and pattern detection approaches. It serves as a specialized resource for those needing to master the data science aspects of microstructure characterization in modern engineering and materials research.

Key Features

This CRC Press book provides practical tools for analyzing large datasets using statistical methods in materials science.

The text offers specific guidance on essential technical topics including denoising and data modeling.

Researchers can learn about inverse methods specifically applied to microstructure characterization.

The analysis section covers advanced topics such as compressed sensing methods and stochastic models.

The content includes approaches to pattern detection and extreme estimation for materials data science.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
06 February 2019
Listed Since
22 March 2017

Barcode

No barcode data available

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