The standard methodology of statistics generally assumes that the functional forms of probability densities are known. In practice, such knowledge is seldom available. Consequently, the supposed optimality of classical techniques such as that of maximum likelihood is generally misleading. Even new robust techniques assume strong conditions, such as symmetry and multimodality, for probability densities. In Nonparametric Probability Density Estimation, Richard A. Tapia and James R. Thompson investigate some procedures for estimating densities of unknown functional form, demonstrating how techniques of modern optimization theory can be used for nonparametric density estimation.
- ISBN10 0801820316
- ISBN13 9780801820311
- Publish Date 1 August 1978
- Publish Status Out of Stock
- Out of Print 15 January 1993
- Publish Country US
- Imprint Johns Hopkins University Press
- Format Hardcover
- Pages 192
- Language English