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) "S
Theory and applications of sequential nonparametrics
โ Scribed by Pranab Kumar Sen
- Book ID
- 127455723
- Publisher
- Society for Industrial Mathematics
- Year
- 1987
- Tongue
- English
- Weight
- 1 MB
- Series
- CBMS-NSF Regional Conference Series in Applied Mathematics
- Edition
- SIAM
- Category
- Library
- ISBN
- 0898710510
No coin nor oath required. For personal study only.
โฆ Synopsis
A study of sequential nonparametric methods emphasizing the unified Martingale approach to the theory, with a detailed explanation of major applications including problems arising in clinical trials, life-testing experimentation, survival analysis, classical sequential analysis and other areas of applied statistics and biostatistics.
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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
A decision fusion problem is considered in which each one of a set of sensors receives a sequence of observations about the state of the system. The observations are quantized at each time step and sent to the fusion center where a binary decision is to be made at a stopping time. Applications of th