Flexible Nonparametric Curve Estimation
Author | : Hassan Doosti |
Publisher | : Springer |
Total Pages | : 0 |
Release | : 2024-10-09 |
ISBN-10 | : 3031665007 |
ISBN-13 | : 9783031665004 |
Rating | : 4/5 (004 Downloads) |
Download or read book Flexible Nonparametric Curve Estimation written by Hassan Doosti and published by Springer. This book was released on 2024-10-09 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book delves into the realm of nonparametric estimations, offering insights into essential notions such as probability density, regression, Tsallis Entropy, Residual Tsallis Entropy, and intensity functions. Through a series of carefully crafted chapters, the theoretical foundations of flexible nonparametric estimators are examined, complemented by comprehensive numerical studies. From theorem elucidation to practical applications, the text provides a deep dive into the intricacies of nonparametric curve estimation. Tailored for postgraduate students and researchers seeking to expand their understanding of nonparametric statistics, this book will serve as a valuable resource for anyone who wishes to explore the applications of flexible nonparametric techniques.