Statistical Methods to Support Air Quality Policy Decisions.

      Аннотация: It is well known the health effects associated with air pollution. Several studies were published, showing an increasing awareness among the scientific community and policy makers about public health problems due to exposure to air pollution. Policy makers require more detailed air quality information to take measures to reduce the effects on health and to improve the air quality management. This book aims to develop procedures using statistical methods to support a broad range of policy decisions concerning this subject.

Ключевые слова: artificial neural networks, Linear models, Statistical Methods, air quality management, air quality modelling, genetic programming.