000			02150nam a2200337 i 4500
001			CR9781108120418
003			UkCbUP
005			20240301142641.0
006			m|||||o||d||||||||
007			cr||||||||||||
008			160809s2018||||enk o ||1 0|eng|d
020			_a9781108120418 (ebook)
020			_z9781107190948 (hardback)
040			_aUkCbUP _beng _erda _cUkCbUP
050	0	0	_aQH351 _b.B64 2018
082	0	0	_a571.3 _223
100	1		_aBookstein, Fred L., _d1947- _eauthor.
245	1	2	_aA course in morphometrics for biologists : _bgeometry and statistics for studies of organismal form / _cFred L. Bookstein.
264		1	_aCambridge : _bCambridge University Press, _c2018.
300			_a1 online resource (xvii, 527 pages) : _bdigital, PDF file(s).
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_aonline resource _bcr _2rdacarrier
500			_aTitle from publisher's bibliographic system (viewed on 24 Sep 2018).
520			_aThis book builds a much-needed bridge between biostatistics and organismal biology by linking the arithmetic of statistical studies of organismal form to the biological inferences that may follow from it. It incorporates a cascade of new explanations of regression, correlation, covariance analysis, and principal components analysis, before applying these techniques to an increasingly common data resource: the description of organismal forms by sets of landmark point configurations. For each data set, multiple analyses are interpreted and compared for insight into the relation between the arithmetic of the measurements and the rhetoric of the subsequent biological explanations. The text includes examples that range broadly over growth, evolution, and disease. For graduate students and researchers alike, this book offers a unique consideration of the scientific context surrounding the analysis of form in today's biosciences.
650		0	_aMorphology _xStatistical methods.
650		0	_aMorphology _xMathematics.
650		0	_aOrganisms _xSize _xMeasurement.
776	0	8	_iPrint version: _z9781107190948
856	4	0	_uhttps://doi.org/10.1017/9781108120418
999			_c10177 _d10177