Question


Question

Author
Message
Ashwag
Forum Newbie
Forum Newbie (4 reputation)Forum Newbie (4 reputation)Forum Newbie (4 reputation)Forum Newbie (4 reputation)Forum Newbie (4 reputation)Forum Newbie (4 reputation)Forum Newbie (4 reputation)Forum Newbie (4 reputation)Forum Newbie (4 reputation)

Group: Awaiting Activation
Posts: 7, Visits: 681
Hi,

I have question regarding to  Poisson  and Binomial and Gamma.

Now, when the ratios of variance to mean  is approximately equal to 1, then we have Poisson.

when the ratios of standard deviation to mean ‌‌are approximately equal, then we have gamma.

what about binomial? it is not really clear.

In exam C, we learned that if the variance = mean , then we Poisson,  if variance < Mean , then we have binomial.

So, can you please verify .

Thanks‌‌‌‌‌‌‌‌


NEAS
Supreme Being
Supreme Being (5.9K reputation)Supreme Being (5.9K reputation)Supreme Being (5.9K reputation)Supreme Being (5.9K reputation)Supreme Being (5.9K reputation)Supreme Being (5.9K reputation)Supreme Being (5.9K reputation)Supreme Being (5.9K reputation)Supreme Being (5.9K reputation)

Group: Administrators
Posts: 4.3K, Visits: 1.3K
Ashwag - 3/5/2018 2:43:42 PM
Hi,

I have question regarding to  Poisson  and Binomial and Gamma.

Now, when the ratios of variance to mean  is approximately equal to 1, then we have Poisson.

when the ratios of standard deviation to mean ‌‌are approximately equal, then we have gamma.

what about binomial? it is not really clear.

In exam C, we learned that if the variance = mean , then we Poisson,  if variance < Mean , then we have binomial.

So, can you please verify .

Thanks‌‌‌‌‌‌‌‌



NEAS: For a binomial distribution, the variance is proportional to p × (1 – p)
GO
Merge Selected
Merge into selected topic...



Merge into merge target...



Merge into a specific topic ID...





Reading This Topic


Login
Existing Account
Email Address:


Password:


Social Logins

  • Login with twitter
  • Login with twitter
Select a Forum....











































































































































































































































Neas-Seminars

Search