Rank-Based Methods for Shrinkage and Selection: With Application to Machine Learning

by Mohammad Arashi, A K MD Ehsanes Saleh, Mina Norouzirad, et al.

Rank-Based Methods for Shrinkage and Selection

A practical and hands-on guide to the theory and methodology of statistical estimation based on rank

Robust statistics is an important field in contemporary mathematics and applied statistical methods. Rank-Based Methods for Shrinkage and Selection: With Application to Machine Learning describes techniques to produce higher quality data analysis in shrinkage and subset selection...

• Format: Hardcover
• Language: English
• ISBN: 1119625394
• ISBN13: 9781119625391
• Release Date: March 2022
• Publisher: Wiley
• Length: 480 Pages
• Weight: 1.78 lbs.
• Dimensions: 1.1" x 6.0" x 9.0"