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

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Keywords

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