, A(theta1) and B(theta1, theta2) to model
my data.
Then how should I determine the best distribution for my data?
Suggest me an easy book that explain how to select a distribution when
making a probability model and how to test the goodness of the selected
distribution over other ones
Herman Rubin [EMAIL PROTECTED] wrote:
As we get more complex situations, like those happening
in biology, and especially in the social sciences, it is
necessary to consider that models may have substantial
errors and still be "accepted", as one can only get some
understanding by using
the best distribution for my data?
Suggest me an easy book that explain how to select a distribution when
making a probability model and how to test the goodness of the selected
distribution over other ones.
The decision as to what probability models are appropriate
must come from
I am a statistically poor researcher and have a statistical problem.
I have two candidate distributions, A(theta1) and B(theta1, theta2) to model
my data.
Then how should I determine the best distribution for my data?
Suggest me an easy book that explain how to select a distribution when
making
, Choi, Young Sung wrote:
I am a statistically poor researcher and have a statistical problem.
I have two candidate distributions, A(theta1) and B(theta1, theta2) to model
my data.
Then how should I determine the best distribution for my data?
Suggest me an easy book that explain how to select
stribution for my data?
Suggest me an easy book that explain how to select a distribution when
making a probability model and how to test the goodness of the selected
distribution over other ones.
"Data Analysis, A Model Comparison Approach" by Judd and McClelland.
What you describe, as
data?
Suggest me an easy book that explain how to select a distribution when
making a probability model and how to test the goodness of the selected
distribution over other ones.
The decision as to what probability models are appropriate
must come from understanding your subject. not from any
use
