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Beschreibung
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.
Details
| Verlag | Springer International Publishing |
| Ersterscheinung | 05. September 2024 |
| Maße | 23.5 cm x 15.5 cm |
| Gewicht | 635 Gramm |
| Format | Hardcover |
| ISBN-13 | 9783031665004 |
| Seiten | 304 |
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