error emerge. We have a clearer one "usual residence." The variety of residence terms used picture than we did even a year ago of the sources of in the traditional census roster may also be a source of errors in household rosters, and of potential underreporting by household respondents

Using data from a unique nationally representative sample of businesses, the Educational Quality of the Workforce National Employers Survey (EQW-NES), matched with the Bureau of the Census ’ Longitudinal Research Database (LRD), we examine the impact of workplace practices, information technology

personnel; rather, they imply certain extensions to the traditional crew rostering procedure. However, because these supplementary services do tighten the crew rostering problem, we also propose a means for levelling out these restrictions by raising the probability that a feasible solution exists: namely

to optimize the amount of working time and the presence on the ward. In contrast, traditional frameworks for constraint processing consider only crisp constraints which are either completely violated or satisfied. On the other hand, the described system uses an any-time algorithm to search for good rosters

This evaluation reports the results of research and analysis undertaken by the U.S. Census Bureau. It is part of a broad program, the Census 2000 Testing, Experimentation, and Evaluation (TXE) Program, designed to assess Census 2000 and to inform 2010 Census planning. Findings from the Census 2000

To compensate for missing data in surveys1and

household members for particular questions. However, since rosters are one of the first parts of the survey encountered by respondents, they are likely to have a role in creating the over-all context in which the respondent interprets the survey. For example, in selfadministered census questionnaires

In this paper, we investigate the possibility of integrating Artificial Intelligence (AI) and Operations Research (OR) techniques for solving the Crew Rostering Problem (CRP). CRP calls for the optimal sequencing of a given set of duties into rosters satisfying a set of constraints. The optimality

competency techniques: interpreter services, recruitment and retention policies, training, coordinating with traditional healers, use of community health workers, culturally competent health promotion, including fam-ily/community members, immersion into another culture, and administrative and orga

In this paper, we present a constraint based approach to the Crew Rostering Problem. A solution to this problem is the optimal sequencing of a given set of duties into rosters in order to satisfy a set of constraints. The optimality criterion concerns the minimization of the number of crews