Hill Climbing Method Using Claus Model for Categorical Data

Autor: B. Onoghojobi
Rok vydání: 2009
Předmět:
Zdroj: Journal of Mathematics and Statistics. 5:375-378
ISSN: 1549-3644
Popis: Problem statement: In this study, a locally unbiased test statistic based on the Claussian method was presented. Approach: In this respect, exploiting special structures of modified quadratic hill climbing method and the Claussian statistics were considered. Results: We derived a non-modified quadratic hill-climbing procedure. The performance of the model in testing the estimation of Latent data was shown. Conclusion/Recommendations: The result testing for serial Kalman suggested that, computational simplicity may outweigh any non-negative definite in terms of second derivative matrix.
Databáze: OpenAIRE