## Abstract An optimal maximum likelihood (ML) method is described for an unbiased estimation of monoexponential __T__~2~ from magnitude spinβecho images. The algorithm is based on a Gaussian assumption of noise distribution. The validity of this assumption was checked by a statistical __x__^2^ tes
Maximum likelihood estimation of magnitude-squared multiple and ordinary coherence
β Scribed by A.T. Walden
- Publisher
- Elsevier Science
- Year
- 1990
- Tongue
- English
- Weight
- 446 KB
- Volume
- 19
- Category
- Article
- ISSN
- 0165-1684
No coin nor oath required. For personal study only.
π SIMILAR VOLUMES
This paper considers the problem of estimation frequency response functions (FRFs) for a single-input single-output (SISO) system in the presence of additive noise on both input and output measurements. It demonstrates that principle component analysis (PCA) can be employed to solve such problems an
Ecological optima and tolerances with respect to autumn pH were estimated for 63 diatom taxa in 47 Finnish lakes. The methods used were weighted averaging (WA), least squares (LS) and maximum likelihood (ML), the two latter methods assuming the Gaussian response model. WA produces optimum estimates