000			01617nam a2200421 i 4500
999			_c40443 _d40443
001			34317
003			BD-DhAAL
005			20190320112317.0
008			190320t2019 flua b 001 0 eng
010			_a 2018017447
020			_a9781138316430 (pbk. : alk. paper)
020			_a113831661X (hardback : alk. paper)
020			_a9781138316614 (hardback : alk. paper)
020			_a1138316431 (pbk. : alk. paper)
020			_z9780429455537 (e-book)
020			_z9780429849015 (ePub ebook)
020			_z9780429849022 (PDF ebook)
020			_z9780429849008 (Mobipocket ebook)
040			_aDLC _beng _cDLC _erda _dDLC _dBD-DhAAL
042			_apcc
050	0	0	_aQA76.9.Q36 _bG74 2019
082	0	0	_a001.42 _223
100	1		_aGreenacre, Michael J., _eauthor. _930226
245	1	0	_aCompositional data analysis in practice / _cby Michael Greenacre.
260			_aBoca Raton : _bCRC Press, Taylor & Francis Group, _cc2019
300			_axiv, 121 pages : _billustrations (some color) ; _c24 cm.
490	0		_aChapman & Hall/CRC interdisciplinary statistics
500			_a"A Chapman & Hall book."
504			_aIncludes bibliographical references and index.
505			_aWhat are compositional data, and why are they special? Geometry and visualization of compositional data. Logratio transformations. Properties and distributions of logratios. Regression models involving compositional data. Dimension reduction using logratio analysis. Clustering of compositional data. The problem of zeros, with some solutions. Simplifying the task: variable selection. Case study: Fatty acids of marine amphipods. Appendix A: Theory of compositional data analysis.Appendix B Bibliography of compositional data analysisAppendix C Computation of compositional data analysisAppendix D Glossary of termsAppendix E Epilogue
526			_aESS
650		0	_aQuantitative research. _930227
650		0	_aPrincipal components analysis. _930228
650		0	_aElectronic data processing. _930229
852			_aAyesha Abed Library _cGeneral Stacks
942			_2ddc _cBK