Parallelism in a restricted linear space
β Scribed by Jim Totten
- Publisher
- Elsevier Science
- Year
- 1976
- Tongue
- English
- Weight
- 409 KB
- Volume
- 14
- Category
- Article
- ISSN
- 0012-365X
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π SIMILAR VOLUMES
We consider a linear normal model Y=X%+e with % verifying a linear restriction and the standard estimators % (unrestricted MLE) and %\* (restricted MLE). We prove that %\* is preferable to % using a new and strong criterion which implies the domination under other usual criteria; in particular it is
## ABSTRACT The state space model is widely used to handle time series data driven by related latent processes in many fields. In this article, we suggest a framework to examine the relationship between state space models and autoregressive integrated moving average (ARIMA) models by examining the
The topological sort can be used for the rapid detection of parallelism in sequential programs. Using this algorithm, one can detect both intrablock and interblock parallelism. The algorithm requires only information normally collected by an optimizing compiler. \* Throughout this paper, we will us