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The answer is Cp(x), whose x is what you just found.
Simply divide out the effeciency ratio f=Pi/pi and list them from large to small.
Then you can find the maximum.
Can't believe I was so smart!
Now it is a little difficult to understand my own words!
suppose you have a pair of number a and b, whose largest common factor is 1.
And you multiply a by natural numbers then divide the result by b and get remainders. It must be b times until you get the same remainder when each the non negative numbers smaller than b appears once.
e.g
7 5
7*1=7 7|5=1...2
7*2=14 14|5=3...4
7*3=21 21|5=4...1
7*4=28 28|5=5...3
7*5=35 ...0
Apparently this theorem shall be proven by contradiction
But does anyone remember what this theorem is called?
Actually, they are a little bit different.
The 0.30000 may not exist whilst 0.3 could in the real world when the entity can be divided into no more but 10 parts.
sorry for the typo Cramer mistaken as Crammer
Here is what the determinants are created for
I am curious how you transfered the answer from Mathematica to this post, bobbym.
Did you type it?
Brilliant, bobbym.
I forgot how to use direct substition - time to pick calculus up.
Determinant is created to solve equations using the Crammer's Rule.
So you need to be familiar with properties of such a determinant first,
then can you go ahead to understand how it works in solving a group of linear equations via Crammer's Rule
It is really a smart mathematic invention!
So far!
How da you do it
George Casella's
Statistical Inference
I guess it is too hard for my self study
Yes, thank you, bobbym
suppose a distribution is defined on the range of nonnegative integers
prove
whereas
I find many problems very very tough to do in Casella's probability textbook, which reveals knowledge not covered in his content.
It seems a convention that maths teachers leave the hardest part in problems.
Unfortunately I am not a guy relying on answer manuals.
Geeeeeeeeeeeeeeeeee!
Hi jk
I am working on it
Still, I need to build probability knowledge, time series, wavelet analysis from scrach.
Quant is a tough job.
is it a pure empirical result?
what is the general formula for the probability under n numbers though?
could you please solve
wait, it is still not solvable for the p part...
if you can manipulate the integral into the form
parameter h is not important
you need to get
(-a,b,-c) = (-a,m+n,-c)
and
(-a,m) = p(-d,f); (b/2,-c) = q(-d,f)
anyone?
So tough that the textbook omits its derivation
MGF of a log-normal distribution
Do you come from New Jersey, jerseygirl?
Hi all
I want to buy an electronic book device that can download many ebooks that I bought from internet. Initially kindle seemed a good choice, but its bookstore is open to US people only. In order to have downloading access, I have to fake an US ip in Amazon.com, provided I have a BoA debit card already.
I am looking for an alternative that shares ebook collections almost as large as that of Amazon, but more accessible. Still I like the e-ink eye protection feature. Could you recommend me one?
Thanks