If we observe a random realization of this graph model to have m edges, then what is the maximum likelihood estimate for p in terms of n and m? n-1 n - 1
If we observe a random realization of this graph model to have m edges, then what is the maximum likelihood estimate for p in terms of n and m? n-1 n - 1
A First Course in Probability (10th Edition)
10th Edition
ISBN:9780134753119
Author:Sheldon Ross
Publisher:Sheldon Ross
Chapter1: Combinatorial Analysis
Section: Chapter Questions
Problem 1.1P: a. How many different 7-place license plates are possible if the first 2 places are for letters and...
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I need the answer of second question
![Suppose we have an Erdos-Renyi model G (n, p). Let m be the number of edges of the graph.
What is the expected number of edges in terms of n and p?
(For the problems in this course, if you arrive at any expressions in terms of binomial coefficients such as \binom {b,k}\, enter
a simplified algebraic expression without binomial coefficients. )
E [m] =
((n*(n-1))/2)*p
(-):
n: (n -
If we observe a random realization of this graph model to have m edges, then what is the maximum likelihood estimate for p
in terms of n and m?
=
n-1
п — 1](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F103933e4-63ef-4463-ac77-0d7fcde1e925%2F0838c80d-44f0-416b-80e6-15f8964a2104%2F618tpmo_processed.jpeg&w=3840&q=75)
Transcribed Image Text:Suppose we have an Erdos-Renyi model G (n, p). Let m be the number of edges of the graph.
What is the expected number of edges in terms of n and p?
(For the problems in this course, if you arrive at any expressions in terms of binomial coefficients such as \binom {b,k}\, enter
a simplified algebraic expression without binomial coefficients. )
E [m] =
((n*(n-1))/2)*p
(-):
n: (n -
If we observe a random realization of this graph model to have m edges, then what is the maximum likelihood estimate for p
in terms of n and m?
=
n-1
п — 1
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