The problem of forecasting monthly demands for library network services is considered in terms of using forecasts as inputs to policy analysis models, and in terms of using forecasts to aid in the making of budgeting and staffing decisions. Box-Jenkins time-series methodology, adaptive filtering, and regression approaches are examined and compared…

A recommendation is made for computerization of student records in the Graduate School of the University of Toledo, because of insufficient space for record storage, clumsy retrieval methods, difficult interfiling methods, long waits for grade and credit-hour updates, lack of staff time for attention to recordkeeping, and costly and ineffective…