02272nam a2200433 i 4500 34317 BD-DhAAL 20190320112317.0 190320t2019 flua b 001 0 eng 40443 40443 2018017447 9781138316430 (pbk. : alk. paper) 113831661X (hardback : alk. paper) 9781138316614 (hardback : alk. paper) 1138316431 (pbk. : alk. paper) 9780429455537 (e-book) 9780429849015 (ePub ebook) 9780429849022 (PDF ebook) 9780429849008 (Mobipocket ebook) DLC eng DLC rda DLC BD-DhAAL pcc QA76.9.Q36 G74 2019 001.42 23 Greenacre, Michael J., author. 30226 Compositional data analysis in practice / by Michael Greenacre. Boca Raton : CRC Press, Taylor & Francis Group, c2019 xiv, 121 pages : illustrations (some color) ; 24 cm. Chapman & Hall/CRC interdisciplinary statistics "A Chapman & Hall book." Includes bibliographical references and index. What 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 ESS Parama 34317 Quantitative research. 30227 Principal components analysis. 30228 Electronic data processing. 30229 Ayesha Abed Library General Stacks ddc BK 0 0 ddc 0 001_420000000000000_GRE 0 65076 BRACUL BRACUL GEN 2019-02-26 Parama 2768.29 0 001.42 GRE 3010034317 2019-02-26 1 2768.29 2019-02-26 BK