Signal estimation from incomplete data
β Scribed by A.G Ramm
- Publisher
- Elsevier Science
- Year
- 1987
- Tongue
- English
- Weight
- 184 KB
- Volume
- 125
- Category
- Article
- ISSN
- 0022-247X
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Longitudinal atudiea are rarely complete due to attrition, miatimed vieits and observations misaing at random. When the data are missing a t random it L poasible to estimate the primary location parameters of interest by constructing a modification of ZELLNEB'S (1962) seemingly unrelated regression
## Abstract An important indicator for the longβterm recovery after valve replacement surgery is postoperative valve gradient. This information is available only for patients received catheterization or echocardiogram postoperatively. It is plausible that sicker patients are more inclined to underg
It is well known that the maximum likelihood estimates (MLEs) of a multivariate normal distribution from incomplete data with a monotone pattern have closed-form expressions and that the MLEs from incomplete data with a general missing-data pattern can be obtained using the Expectation-Maximization