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On Estimating Error Concentration Parameter for Circular Functional Model

Abdul Ghapor Hussin, and Zazli Chik, (2003) On Estimating Error Concentration Parameter for Circular Functional Model. Bulletin of the Malaysian Mathematical Sciences Society, 26 (2). pp. 181-188. ISSN 0126-6705

Full text not available from this repository.

Official URL: http://math.usm.my/bulletin/pdf/v26n2/v26n2p4.pdf

Affiliations

Universiti Malaya, Centre for Foundation Studies in Science

Abstract

This paper present the mathematical approach on how to find the estimation of concentration parameters for the unreplicated linear circular functional relationship model or also known as a circular functional model assuming the ratio of error concentration parameters, \lambda is known. We have also shown that by using the asymptotic properties of Bassel function we can find the estimate of error concentration parameter for any value of \lambda.

Item Type:Journal
Keywords:
Subjects:Q Science, Computer Science
ID Code:1192

1. M. Abramowitz, and I .G. Stegun, Handbook of Mathematical Functions, Dover Publications Inc., New York, 1965.

2. A.J. Dobson, simple approximations for the von Mises concentration statistic, Applied Statistics 27 (1978), 345—347.

3. Abdul Ghapor Hussin, Application of functional model in calibration problem of remote sensing data, International Proceeding of ECM & SP, Indonesia, 1999.

4. K.V. Mardia, Statistics of Directional Data, Academic Press, London, 1972.

5. L. Rades and B. Westergren, Beta Mathematics Handbook, Chartwell-Bratt, 1988.

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