000			03267nam a22005055i 4500
001			978-0-387-25012-0
003			DE-He213
005			20161121230648.0
007			cr nn 008mamaa
008			100301s2005 xxu| s |||| 0|eng d
020			_a9780387250120 _9978-0-387-25012-0
024	7		_a10.1007/b106568 _2doi
050		4	_aQH301-705
072		7	_aPSA _2bicssc
072		7	_aSCI086000 _2bisacsh
082	0	4	_a570 _223
100	1		_aHaefner, James W. _eauthor.
245	1	0	_aModeling Biological Systems _h[electronic resource] : _bPrinciples and Applications / _cby James W. Haefner.
250			_aSecond Edition.
264		1	_aBoston, MA : _bSpringer US, _c2005.
300			_aXI, 475 p. _bonline resource.
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_aonline resource _bcr _2rdacarrier
347			_atext file _bPDF _2rda
505	0		_aPrinciples -- Models of Systems -- The Modeling Process -- Qualitative Model Formulation -- Quantitative Model Formulation: I -- Quantitative Model Formulation: II -- Numerical Techniques -- Parameter Estimation -- Model Validation -- Model Analysis: Uncertainty and Behavior -- Stochastic Models -- Applications -- Photosynthesis and Plant Growth -- Hormonal Control in Mammals -- Populations and Individuals -- Chemostats -- Diseases -- Spatial Patterns and Processes -- Scaling Models -- Chaos in Biology -- Cellular Automata and Recursive Growth -- Evolutionary Computation.
520			_aThis extensively revised second edition of Modeling Biological Systems: Principles and Applications describes the essentials of creating and analyzing mathematical and computer simulation models for advanced undergraduates and graduate students. It offers a comprehensive understanding of the underlying principle, as well as details and equations applicable to a wide variety of biological systems and disciplines. Students will acquire from this text the tools necessary to produce their own models. The text contains two major sections: Principles and Applications. The first section discusses the principles of biological systems with a thorough description of the essential modeling activities of formulation, implementation, validation, and analysis. These activities are illustrated by a set of example models taken from recent and classical literature, chosen for their breadth of coverage and current timeliness. The new edition updates extensively many of these topics, especially quantitative model formulation, validation and model discrimination using information theory measures and Bayesian probability, and stability analysis and non-dimensionalization.
650		0	_aLife sciences.
650		0	_aBioinformatics.
650		0	_aComputational biology.
650		0	_aEcology.
650		0	_aZoology.
650	1	4	_aLife Sciences.
650	2	4	_aLife Sciences, general.
650	2	4	_aBioinformatics.
650	2	4	_aComputer Appl. in Life Sciences.
650	2	4	_aEcology.
650	2	4	_aZoology.
710	2		_aSpringerLink (Online service)
773	0		_tSpringer eBooks
776	0	8	_iPrinted edition: _z9780387250113
856	4	0	_uhttp://dx.doi.org/10.1007/b106568
912			_aZDB-2-SBL
950			_aBiomedical and Life Sciences (Springer-11642)
999			_c502088 _d502088