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- Newsgroups: sci.math.stat
- Path: sparky!uunet!snorkelwacker.mit.edu!bloom-picayune.mit.edu!athena.mit.edu!chasman
- From: chasman@athena.mit.edu (David Chasman)
- Subject: Help ! Silly question from a novice ( Clarification )
- Message-ID: <1992Nov19.181522.4076@athena.mit.edu>
- Sender: news@athena.mit.edu (News system)
- Nntp-Posting-Host: alfredo.mit.edu
- Organization: Massachusetts Institute of Technology
- Date: Thu, 19 Nov 1992 18:15:22 GMT
- Lines: 30
-
- This is probably a silly question, but I can't learn if I don't ask
- questions:
-
- (1) I have M observations x1,x2,x3,....,xM
-
- (2) I have N sets of unknown values U(1),U(2),...,U(N).
- We will refer to the elements of the sets as
- U(1) = { U(1,1) , U(1,2) , ..... , etc }
- U(2) = { U(2,1) , U(2,2) , ..... , etc }
- ... you get the idea.
-
- Remember: the U(i,j) are unknown .
-
-
- (3) I hypothesize that each of my x(i) is the sum of
- one element chosen from U(1),U(2),.... . That is :
-
- x(i) = U(1,i1[i]) + U(2,i2[i]) + U(3,i3[i]) + ... + U(N,iN[i])
-
- where at least one of the i1[i],i2[i],i3[i],..,iN[i] is different for
- each of the x(i).
-
- Questions :
- (A) How can I get an estimate of the probability that this is true ?
- (B) Can I compare the results I get for different N ( see (2) above ) ?
- i.e. - is there a way to determine the best value of N ?
-
- Thankyou in advance.
- --David Chasman
-
-