Abstract
SUMMARY This paper presents an analysis of time-ordered categorical variables with incomplete data. The models allow for either an ignorable or a non-ignorable non-response model and take into account the time ordering of the categorical variables. All the necessary computations can be done with standard statistical software. In addition, we present a Bayesian analysis which uses information from previous years in the priors. The methods are presented in the context of an example, using data from the National Crime Survey. Although this paper deals with two-way tables, the methods are readily extended to higher dimensional tables.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: 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.
