Analysis of Multinomial Data using BRANDO

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Authors
  1. Emond, E.J.
  2. Turnbull, A.E.
Corporate Authors
Defence R&D Canada - Centre for Operational Research and Analysis, Ottawa ON (CAN)
Abstract
This paper reports on the mathematical details and software solution to the Operational Research problem of comparing multiple proportions. The work is an extension of the binomial analysis method described by Hunter and Emond (2004). After an analysis of variance appropriate to multinomial data has indicated that significant differences between proportions exist, an iterative method based on the principle of maximum likelihood finds the most likely separation points. A detailed example is given to demonstrate the practicality of the process.

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Report Number
DRDC-CORA-TN-2007-04 — Technical Note
Date of publication
01 Mar 2007
Number of Pages
28
DSTKIM No
CA029230
CANDIS No
527468
Format(s):
Hardcopy;Document Image stored on Optical Disk

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