Dear all,
I have a discrete distribution showing how age is distributed across a
population using a certain set of bands:
Age - matrix(c(74045062, 71978405, 122718362, 40489415), ncol=1,
dimnames=list(c(18, 18-34, 35-64, 65+),c()))
Age_dist - Age/sum(Age)
For example I know that 23.94% of all
On Tue, Jan 22, 2013 at 11:49 AM, Michael Haenlein
haenl...@escpeurope.eu wrote:
I would like to find a continuous approximation of this discrete
distribution in order to estimate the probability that a person is for
example 16 years old.
Given that people age continuously (and
On 22/01/2013 11:49, Michael Haenlein wrote:
Dear all,
I have a discrete distribution showing how age is distributed across a
population using a certain set of bands:
Age - matrix(c(74045062, 71978405, 122718362, 40489415), ncol=1,
dimnames=list(c(18, 18-34, 35-64, 65+),c()))
Age_dist -
On Jan 22, 2013, at 13:45 , Prof Brian Ripley wrote:
On 22/01/2013 11:49, Michael Haenlein wrote:
Dear all,
I have a discrete distribution showing how age is distributed across a
population using a certain set of bands:
Age - matrix(c(74045062, 71978405, 122718362, 40489415), ncol=1,
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