CRC Press Handbook of Big Data - Modern Statistical Methods

The Handbook of Big Data offers a state-of-the-art overview for analyzing large-scale datasets. Published as part of the Chapman and Hall/CRC Handbooks of Modern Statistical Methods, this text brings together contributions from leading experts in both statistics and computer science. It provides a curated collection of techniques sourced from academia and industry to help readers build a working understanding of essential statistical and computing ideas. This handbook is designed for those who need to apply complex methods to real-world research and professional practice. It provides a balanced look at methodology, theory, and practical applications. By studying this text, you will learn about modern, scalable approaches for handling increasingly large datasets and gain a clear definition of the current landscape in big data analysis. It serves as a comprehensive resource for anyone working in econometrics, data science, or large-scale statistical modeling.