What Is the Distribution of Population Multiplicities in Countries?

Gerenuk
Messages
1,027
Reaction score
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?
 
Physics news on Phys.org
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.
 
Hi all, I've been a roulette player for more than 10 years (although I took time off here and there) and it's only now that I'm trying to understand the physics of the game. Basically my strategy in roulette is to divide the wheel roughly into two halves (let's call them A and B). My theory is that in roulette there will invariably be variance. In other words, if A comes up 5 times in a row, B will be due to come up soon. However I have been proven wrong many times, and I have seen some...
Namaste & G'day Postulate: A strongly-knit team wins on average over a less knit one Fundamentals: - Two teams face off with 4 players each - A polo team consists of players that each have assigned to them a measure of their ability (called a "Handicap" - 10 is highest, -2 lowest) I attempted to measure close-knitness of a team in terms of standard deviation (SD) of handicaps of the players. Failure: It turns out that, more often than, a team with a higher SD wins. In my language, that...
Back
Top