The Pastor as Bearer of Hope

Lutheran Life Lecture, Waterloo Lutheran Seminary, November 4 1993

The Integration of Immigrants and Their Families in Maryland: The Contributions of Immigrant Workers to the Economy

Details the growth in Maryland's immigrant population and workforce; immigrant demographics, education levels, professional skills, geographic distribution, and other characteristics; and their potential contribution to the economy and tax base

The Integration of Immigrants in Maryland's Growing Economy

Presents a snapshot of Maryland's immigrants -- share of the population, national origins, education levels, and occupations -- as well as of changes in the labor market and the potential benefits of immigration to the economy and tax base

USES OF SUPERMARKET SCAN DATA IN DEMAND ANALYSIS

Consumer/Household Economics,

THE FOOD DISTRIBUTION INDUSTRY: UNTAPPED CLIENTELE FOR AGRICULTURAL ECONOMISTS

Agribusiness,

MESSAGE FROM THE PRESIDENT

Teaching/Communication/Extension/Profession,

NEW COMPETITION FOR SUPERMARKETS: A CASE STUDY

Non-traditional retailers such as warehouse club stores, discount drug stores, and discount mass merchandisers are new competitors for traditional food retailers. It is expected that non- traditional retailers will account for roughly 14 percent of total grocery sales by the turn of the century. The impact of a particular discount mass merchandiser (Wal-Mart) on the sales of a conventional retail grocery outlet (David's Supermarket, Inc.) located in the rural areas surrounding the Dallas/Ft. Worth metroplex is analyzed in this case study. In this case study, Wal-Mart alone is responsible for about a 17 percent reduction in sales.Warehouse Club Stores, Discount Mass Merchandisers, Supermarkets, Competition., Industrial Organization, Marketing,

USES OF SCANNER INFORMATION FOR FOOD INDUSTRY EXECUTIVES

Agribusiness,

VALUES OF SCAN RESEARCH

Research Methods/ Statistical Methods,

Examples of Machine Learning with TBFM Data SWIM Industry/FAA Team (SWIFT) Briefing

This briefing discusses how machine learning could be applied to large aviation data problems, using TBFM SWIM data elements and data analytics lessons learned from ATD-2