Register to reply 
Maximum likelihood estimator of binominal distribution 
Share this thread: 
#1
May709, 03:19 PM

P: 192

[tex]
L(x_1,...,x_n;p)=\Pi_{i=1}^{n}(\stackrel{n}{x_i}) p^{x_i}(1p)^{nx_i} [/tex] Correct so far? The solution tells me to skip the [tex]\Pi[/tex]: [tex] L(x_1,...,x_n;p)=(\stackrel{n}{x}) p^{x}(1p)^{nx} [/tex] This is contradictory to all the examples in my book. Why? 


#2
May809, 09:29 AM

HW Helper
P: 2,616

I don't understand why you wrote L(x1...xn,p). I thought the purpose was to estimate p, the probability of a designated success outcome in a Bernoulli trial. So it should be L (p) as p is the only parameter.
I also don't see any sense in omitting the multiplicative pi symbol. What is x here, anyway? x_i all refer to the observed no. of succeses of each sample size n. So what is x? 


Register to reply 
Related Discussions  
Maximum likelihood error  Calculus & Beyond Homework  1  
Question on maximum likelihood  Set Theory, Logic, Probability, Statistics  1  
Maximum likelihood  Set Theory, Logic, Probability, Statistics  1  
Maximum Likelihood  Introductory Physics Homework  1  
Maximum likelihood estimator...  Set Theory, Logic, Probability, Statistics  0 