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Activity Number:
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349
- Novel Distributions and Tests
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Type:
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Contributed
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Date/Time:
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Wednesday, August 5, 2020 : 10:00 AM to 2:00 PM
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Sponsor:
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Government Statistics Section
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Abstract #312597
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Title:
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Unfolding the Instantaneous Effect of Each Probability Density Function/Process in a Mixture Probability Distribution/Process
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Author(s):
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Mian Adnan*
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Companies:
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Bowling Green State University
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Keywords:
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Differentiation;
Integration
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Abstract:
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The role of each of the probability density function/process in a Mixture probability distribution/process has been unfolded to demonstrate to what extent it does contribute to each partition of the total probability and the results of which factors of each probability density function participating in that mixture probability distribution/process. It has been observed that it is a result of the joint effect of how steep each distribution/process is compared to the other ones and what are the effects of each of the distribution/process over several partitions.
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Authors who are presenting talks have a * after their name.
