Statistical methods for environmental pollution monitoring / R.O. Gilbert
Tipo de material: TextoDetalles de publicación: West Sussex : John Wiley & Sons, 1987 Descripción: 336 pISBN: 0-471-28878-0Tema(s): Pollution -- Environmental aspects -- Statistical methods | Environmental monitoring -- Statistical methods | Contaminación -- Métodos estadísticos | Tecnología medioambiental -- Contaminación atmosféricaResumen: This book discusses a broad range of statistical design and analysis methods that are particularly well suited to pollution data. It explains key statistical techniques in easy-to-comprehend terms and uses practical examples, exercises, and case studies to illustrate procedures. Dr. Gilbert begins by discussing a space-time framework for sampling pollutants. He then shows how to use statistical sample survey methods to estimate average and total amounts of pollutants in the environment, and how to determine the number of field samples and measurements to collect for this purpose. Then a broad range of statistical analysis methods are described and illustratedTipo de ítem | Biblioteca de origen | Signatura | URL | Estado | Fecha de vencimiento | Código de barras | Reserva de ítems |
---|---|---|---|---|---|---|---|
Manuales | 02. BIBLIOTECA CAMPUS PUERTO REAL | 504.064/GIL/sta (Navegar estantería(Abre debajo)) | Texto completo | Disponible Ubicación en estantería | Bibliomaps® | 3745198325 |
Total de reservas: 0
This book discusses a broad range of statistical design and analysis methods that are particularly well suited to pollution data. It explains key statistical techniques in easy-to-comprehend terms and uses practical examples, exercises, and case studies to illustrate procedures. Dr. Gilbert begins by discussing a space-time framework for sampling pollutants. He then shows how to use statistical sample survey methods to estimate average and total amounts of pollutants in the environment, and how to determine the number of field samples and measurements to collect for this purpose. Then a broad range of statistical analysis methods are described and illustrated
No hay comentarios en este titulo.