Circular and Linear Regression

Discover the fascinating world of data analysis with Circular and Linear Regression by Nikolai Chernov. Published by Taylor & Francis Ltd in 2020, this comprehensive paperback spans 286 pages, making it an essential resource for anyone interested in modern statistical methods. Chernov delves into the significant advancements made since the mid-1990s, providing a thorough explanation of how to apply contemporary algorithms to fit geometric contours to observed data, particularly in image processing and computer vision. This book encompasses all aspects—geometric, statistical, and computational—of the techniques discussed, ensuring readers grasp the intricate relationships between numerical algorithms. Perfect for students, researchers, and professionals alike, Circular and Linear Regression is a must-have addition to your mathematical library.