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