Distribution of choice overlap

In summary: A sensible measure for quantifying the redistribution of popularity in a non-uniform distribution would be the Gini coefficient, which measures the inequality in a distribution.Power law distribution, also known as Zipf's law, could potentially play a role in the distribution of country populations, especially if certain countries are significantly more popular than others.
  • #1
Gerenuk
1,034
5
I have N people and each of them has a uniform probability to belong to one of M countries. Now I wonder what is the distribution of the multiplicities?!
I mean the number of countries with 1 person, 2 persons, 3 persons,... (no matter which country)
Is there an equation for it?

And what if the distribution is not uniform, but I know that some countries are more popular?! (a non-uniform distribution?)
Is there a sensible measure of quantifying this redistribution of popularity?

And does power law distribution play in at some point?
 
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  • #2
Gerenuk said:
And what if the distribution is not uniform, but I know that some countries are more popular?! (a non-uniform distribution?)

If each person has probability p_k of being from country k independently then the distribution of country populations would be multinomial.

The joint distribution of population multiplicities would be a sum of these multinomial probabilities, which for uniform distribution (p_k=1/M) would simplify using the permutations with repeats formula, to get

P(N1=n1,N2=n2,...) = (M!/(n1!n2!...))*(1/M)^N*N!/((1!)^n1.(2!)^n2...)

where N1 is the number of countries with population 1, etc. Not sure how to get the marginal distributions though, or the joint prob for non-uniform.
 

1. What is the distribution of choice overlap?

The distribution of choice overlap refers to the frequency with which individuals make similar choices or decisions. It is a way to measure the level of agreement or similarity among a group of individuals in terms of their choices.

2. Why is the distribution of choice overlap important?

The distribution of choice overlap can provide insights into the decision-making process of individuals or groups. It can also help identify patterns or trends in decision-making, and can be used to predict future behavior.

3. How is the distribution of choice overlap calculated?

The distribution of choice overlap can be calculated by determining the percentage of choices that are shared or overlapped between individuals. This can be done using various statistical methods, such as correlation coefficients or similarity indices.

4. What factors can influence the distribution of choice overlap?

The distribution of choice overlap can be influenced by a variety of factors, such as individual preferences, external influences, and situational factors. It can also be affected by the complexity of the decision being made and the level of agreement among individuals.

5. How can the distribution of choice overlap be used in research?

The distribution of choice overlap can be used in research to understand decision-making processes, to compare the decision-making of different groups, and to predict future behavior. It can also be used to evaluate the effectiveness of interventions or strategies aimed at influencing decision-making.

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