A NOTE ON THE FORMULATION OF A FULL-ANALOGUE REGRESSION MODEL OF THE SHIFT-SHARE METHOD
โ Scribed by Murray G. Patterson
- Book ID
- 111033639
- Publisher
- John Wiley and Sons
- Year
- 1991
- Tongue
- English
- Weight
- 396 KB
- Volume
- 31
- Category
- Article
- ISSN
- 0022-4146
No coin nor oath required. For personal study only.
๐ SIMILAR VOLUMES
Regressive models are constructed by conditioning a person's phenotype on those of his ancestors and antecedents. This note emphasizes the underlying probability structure and the many patterns of dependence within their scope. It is also shown that under certain conditions all likelihood calculatio
Mean shift is an effective iterative algorithm widely used in computer vision community. However, to our knowledge, its convergence, a key aspect of any iterative algorithm, has not been rigorously proved up to now. In this paper, by further imposing some commonly acceptable conditions, its converge