This book gives a systematic, comprehensive, and unified account of modern nonparametric statistics of density estimation nonparametric regression, filtering signals, and time series analysis. The coverage is suitable for a one-semester course for advanced undergraduate and graduate students with ma
Nonparametric curve estimation: methods, theory and applications
✍ Scribed by Sam Efromovich
- Book ID
- 127426523
- Publisher
- Springer
- Year
- 1999
- Tongue
- English
- Weight
- 3 MB
- Series
- Springer Series in Statistics
- Edition
- 1
- Category
- Library
- ISBN
- 0387226389
No coin nor oath required. For personal study only.
✦ Synopsis
Appropriate for a one-semester course, this self-contained book is an introduction to nonparametric curve estimation theory. It may be used for teaching graduate students in statistics (in this case an intermediate statistical inference, on the level of the book by G. Casella and R. Berger (1990) "Statistical Inference", Brooks/Cole, is the prerequisite) as well as for diverse classes with students from other sciences including engineering, business, social, medical, and biology.
✦ Subjects
Математическая статистика
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