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ISSN: 1549-3644 (Print)
ISSN: 1558-6359 (Online)
Research Article Open Access

Hill Climbing Method Using Claus Model for Categorical Data

B. Onoghojobi

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 of Mathematics and Statistics
Volume 5 No. 4, 2009, 375-378

DOI: https://doi.org/10.3844/jmssp.2009.375.378

Submitted On: 17 September 2009 Published On: 31 December 2009

How to Cite: Onoghojobi, B. (2009). Hill Climbing Method Using Claus Model for Categorical Data. Journal of Mathematics and Statistics, 5(4), 375-378. https://doi.org/10.3844/jmssp.2009.375.378

Open AccessCopyright: © 2009 B. Onoghojobi. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

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Keywords

  • Claussian method
  • modified quadratic
  • non-modified quadratic
  • latent data
  • non-negative