LOGIT MODELS FOR EARLY WARNING OF DISTRESSED CAPITAL PROJECTS

Comparing Models for Early Warning Systems of Neglected Tropical Diseases

BACKGROUND Early warning systems (EWS) are management tools to predict the occurrence of epidemics of infectious diseases. While climate-based EWS have been developed for malaria, no standard protocol to evaluate and compare EWS has been proposed. Additionally, there are several neglected tropical diseases whose transmission is sensitive to environmental conditions, for which no EWS have been p...

Early Warning Models in Real Time

Each quarter, banks file a call report, or Report of Condition and Income, containing hundreds of accounting items pertaining to their financial condition. Because call reports are filed quarterly, whereas banks are typically examined about once every twelve to eighteen months, statistical early warning models using call report data potentially provide a more up-todate picture of a bank’s condi...

An early warning on early warning systems!

Design and Development of Early Warning System for Desertification and Land Degradation

Early warning systems are key components of strategies to reduce risk. This research, by adopting a systematic approach in the management of the risk of desertification and by including previously developed models and systems, offers an integrated efficient structure in terms of early warning for the risk of desertification as a pilot system for semi-arid areas of west Golestan Province in IRAN...

Investigation the financing strategies of improvement and renovation projects of urban distressed areas

The vast expanse of the urban distressed areas in the country and multiple damages that their inhabitants face on economic, social and cultural aspects remind the need for higher attention to these constructions. Meanwhile, Tehran's distressed areas with more than 3268 hectares (5.3% of the area of ​​Tehran) has a population of one million and three hundred thousand people in it, is one of the ...