@article {10.3844/jmssp.2009.375.378,
article_type = {journal},
title = {Hill Climbing Method Using Claus Model for Categorical Data},
author = {Onoghojobi, B.},
volume = {5},
year = {2009},
month = {Dec},
pages = {375-378},
doi = {10.3844/jmssp.2009.375.378},
url = {https://thescipub.com/abstract/jmssp.2009.375.378},
abstract = {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.},
journal = {Journal of Mathematics and Statistics},
publisher = {Science Publications}
}