IJIRST (International Journal for Innovative Research in Science & Technology)ISSN (online) : 2349-6010

 International Journal for Innovative Research in Science & Technology

On Wrapping of Exponentiated Inverted Weibull Distribution


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International Journal for Innovative Research in Science & Technology
Volume 3 Issue - 11
Year of Publication : 2017
Authors : P. Srinivasa Subrahmanyam ; A. V. Dattatreya Rao; S. V. S. Girija

BibTeX:

@article{IJIRSTV3I11032,
     title={On Wrapping of Exponentiated Inverted Weibull Distribution},
     author={P. Srinivasa Subrahmanyam, A. V. Dattatreya Rao and S. V. S. Girija},
     journal={International Journal for Innovative Research in Science & Technology},
     volume={3},
     number={11},
     pages={18--25},
     year={},
     url={http://www.ijirst.org/articles/IJIRSTV3I11032.pdf},
     publisher={IJIRST (International Journal for Innovative Research in Science & Technology)},
}



Abstract:

In many life testing experiments ‘directions’ are the observations. Directional data have many new and distinctive characteristics and challenges in terms of its modelling as well as in conducting statistical analysis. To draw more meaningful inferences, many circular models were developed from the existing linear distributions using variety of techniques like wrapping, inverse stereographic projections etc. In this article an attempt is made to construct a circular model for the Exponentiated Inverted Weibull Distribution by using the method of wrapping. Exponentiated Inverted Weibull is considered to be the most frequently used probability distribution for analyzing the life time data with some monotone failure rates. In this paper the probability density function, distribution function and characteristic function are derived for this Wrapped Exponentiated Inverted Weibull Distribution. The Trigonometric moments and important population characteristics for this wrapped EIW Distribution are computed.


Keywords:

Circular Statistics, Wrapping, Exponentiated Inverted Weibull, Trigonometric Moments


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