Abstract
Abstract This paper conducts a Monte Carlo study in order to evaluate the value of information in a normal mixture model when an imperfect sample separation indicator is available. For a variety of cases, computations are done on the ratios of asymptotic variances of the parameter estimators when sample separation is known versus when only the indicator is available. This study is patterned closely on a paper by Schmidt (1981), and obtains similar results when parameters appearing in Schmidt's model are allowed to vary. The new results here focus on the importance of the probabilities that the regime indicator is correct, for each of the two possible regimes.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.