Vol. 7 (04) pp. 792-797 DOI: 10.21474/IJAR01/8887

AN ALGORITHM TO FIND SIGNIFICANT COMMODITIES IN STOCHASTIC LASPEYRES REGRESSION MODEL.

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  • Department of statistics, university of Karachi, Karachi.
  • Institute of business management, Karachi.
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Abstract

The main objective of this paper is to develop a step by step procedure to discover the influential commodities in stochastic Laspayres regression model when the errors are assumed to be serially correlated with autoregressive process of order p. The two familiar methods of finding unusual observations the ?Hat matrix? and difference in parameter vector beta i.e. ?DFBETA? are considered in this algorithm. This algorithm facilitates the researcher to carry out their research in convenient way.

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How to Cite This Article

Arfa Maqsood, S. M. Aqil burney and Suboohi Safdar. (2019); AN ALGORITHM TO FIND SIGNIFICANT COMMODITIES IN STOCHASTIC LASPEYRES REGRESSION MODEL., Int. J. of Adv. Res., 7 (04), 792-797, ISSN 2320-5407. DOI: https://doi.org/10.21474/IJAR01/8887

Corresponding Author

Dr. Arfa Maqsood
Department of Statistics, University of Karachi
Creative Commons Attribution 4.0 This work is licensed under a Creative Commons Attribution 4.0 International License.