Statistics for environmental science and management / Bryan F.J. Manly

Por: Manly, Bryan F.JTipo de material: TextoTextoSeries Chapman and Hall/CRC applied environmental statisticsDetalles de publicación: Boca Raton : Taylor and Francis, 2009 Edición: 2nd ed.Descripción: XIV, 295 p. : gráf. ; 24 cmISBN: 978-1-4200-6147-5Tema(s): Ciencias medioambientales -- Métodos estadísticos | Medio ambiente -- Gestión -- Métodos estadísticosResumen: Revised, expanded, and updated, this second edition of Statistics for Environmental Science and Management is that rare animal, a resource that works well as a text for graduate courses and a reference for appropriate statistical approaches to specific environmental problems. It is uncommon to find so many important environmental topics covered in one book. Its strength is author Bryan Manly's ability to take a non-mathematical approach while keeping essential mathematical concepts intact. He clearly explains statistics without dwelling on heavy mathematical development. The book begins by describing the important role statistics play in environmental science. It focuses on how to collect data, highlighting the importance of sampling and experimental design in conducting rigorous science. It presents a variety of key topics specifically related to environmental science such as monitoring, impact assessment, risk assessment, correlated and censored data analysis, to name just a few.
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Monografías 02. BIBLIOTECA CAMPUS PUERTO REAL
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Bibliografía: p. 279-290

Revised, expanded, and updated, this second edition of Statistics for Environmental Science and Management is that rare animal, a resource that works well as a text for graduate courses and a reference for appropriate statistical approaches to specific environmental problems. It is uncommon to find so many important environmental topics covered in one book. Its strength is author Bryan Manly's ability to take a non-mathematical approach while keeping essential mathematical concepts intact. He clearly explains statistics without dwelling on heavy mathematical development. The book begins by describing the important role statistics play in environmental science. It focuses on how to collect data, highlighting the importance of sampling and experimental design in conducting rigorous science. It presents a variety of key topics specifically related to environmental science such as monitoring, impact assessment, risk assessment, correlated and censored data analysis, to name just a few.

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