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Activity Number: 647
Type: Contributed
Date/Time: Thursday, August 7, 2014 : 10:30 AM to 12:20 PM
Sponsor: Business and Economic Statistics Section
Abstract #312903 View Presentation
Title: A Class of Advanced Probabilistic and Time Series Models for Assessing Economic/Business Mobility
Author(s): Silvey Shamsi*+ and Mian Arif Shams Adnan and M. Shamsuddin
Companies: Jahangirnagar University and Jahangirnagar University and Uttara University
Keywords: Matrix of test statistics ; Mixture Probability Distribution ; p-value ; Transition Probability
Abstract:

The current paper suggests various types of models for computing and comparing the extent of Economic or Business Mobility. The suggested models include Markov Chain Models, Mixtured Probability Models, etc. For various input-output informatics, the study of pattern of the stratified record values of a national economy/business is important. Optimum mixture-distributions have been suggested to be appropriate in many cases. Advanced Heterogeneity Indices for Comparing Local or Global Economic/Business Mobility: New heterogeneity indices based on transition probability matrices have been suggested. These indices simultaneously display the individual, group-wise and overall discrepancy among several economic systems.


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