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020			_a9780123748546
035			_a(WaSeSS)ssj0000335049
037			_b00991439
040			_aBIP US _dWaSeSS
082	0	0	_a511.3 _222 _bLIN-B
100	1		_aLink, William
245	1	0	_aBayesian inference _bwith ecological applications
260			_bAcademic Press, _c©2009. _aSan Diego,
300			_axiii,339p.
506			_aLicense restrictions may limit access.
520	8		_aAnnotation _bThis 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
521			_aScholarly & Professional _bElsevier Science & Technology Books
650			_astatistical theory: Mathematics
700	1		_aBarker, Richard J.
773		0	_tScienceDirect Environmental Science eBook Collection 2010
910			_aBowker Global Books in Print record
942			_2ddc _cBK _01
999			_c9708 _d9708