bayesian inference ecological applications von link william (6 Ergebnisse)

Hardcover. Zustand: Very Good. No Jacket. Missing dust jacket; May have limited writing in cover pages. Pages are unmarked. ~ ThriftBooks: Read More, Spend Less 2.35.

Zustand: Like New. An apparently unread copy in perfect condition. Dust cover is intact; pages are clean and are not marred by notes or folds of any kind. Suitable for presenting as a gift.

Hardcover. Zustand: Near Fine. xiii 339 pages, indexed. Apart from an ownership signature on the front paste down and front end paper, the book is as new. 'This text is written to provide a mathematically sound but accessible and engaging introduction to Bayesian inference specifically for environmental scientists, ecologists and wildlife biologists. It emphasizes the power and usefulness of Bayesian methods in an ecological context. The advent of fast personal computers and easily available software has simplified the use of Bayesian and hierarchical models . One obstacle remains for ecologists and wildlife biologists, namely the near absence of Bayesian texts written specifically for them. The book includes many relevant examples, is supported by software and examples on a companion website and will become an essential grounding in this approach for students and research ecologists. . Engagingly written text specifically designed to demystify a complex subject . Examples drawn from ecology and wildlife research . An essential grounding for graduate and research ecologists in the increasingly prevalent Bayesian approach to inference . Companion website with analytical software and examples . Leading authors with world-class reputations in ecology and biostatistics." (Publisher) Overseas customers please note the book is heavy and will attract additional postage.

Hardcover. Zustand: New.

Hardcover. Zustand: Brand New. 1st hardback/online edition. 400 pages. 9.50x7.75x1.00 inches. In Stock.

Buch. Zustand: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This text is written to provide a mathematically sound but accessible and engaging introduction to Bayesian inference specifically for environmental scientists, ecologists and wildlife biologists. It emphasizes the power and usefulness of Bayesian methods in an ecological context. The advent of fast personal computers and easily available software has simplified the use of Bayesian and hierarchical models . One obstacle remains for ecologists and wildlife biologists, namely the near absence of Bayesian texts written specifically for them. The book includes many relevant examples, is supported by software and examples on a companion website and will become an essential grounding in this approach for students and research ecologists.