{"product_id":"compositional-data-analysis-in-practice-book-michael-greenacre-9781041235422","title":"Compositional Data Analysis in Practice","description":"\u003cp\u003e“This book would make for a wonderful one semester course in applied multivariate statistics, suitable for upper-level undergraduates who are masters students in data science.”\u003cbr\u003e\u003ci\u003e~Trevor Hastie, The John A. Overdeck Professor, Professor of Statistics and Biomedical Data Science (emeritus), Stanford University, USA\u003c\/i\u003e\u003c\/p\u003e\u003cp\u003e“This book is a small gem that will find its place among those who are interested in learning about this important topic from a master of clarity and exposition…Graduate students and applied researchers, across the quantitative sciences who encounter proportional data, will find this an authoritative yet accessible guide.”\u003cbr\u003e\u003ci\u003e~Michael Friendly, York University, Canada\u003c\/i\u003e\u003c\/p\u003e\u003cp\u003e“This book is an inspiring text for applied scientists and graduate students with backgrounds in multivariate analysis and are interested in mastering the analysis of compositional data.”\u003cbr\u003e\u003ci\u003e~Jan Graffelman, Professor, Technical University of Catalonia, Spain\u003c\/i\u003e\u003c\/p\u003e\u003cp\u003eCompositional data – proportions, percentages, and any data that sum to a constant – appear across virtually every scientific discipline, from geochemistry and ecology to political science and genomics. This thoroughly revised and extended second edition continues to provide a simple and accessible treatment of compositional data analysis (CoDA) in a pedagogical format.\u003c\/p\u003e\u003cp\u003e\u003cb\u003eKey Features of the Second Edition:\u003c\/b\u003e\u003c\/p\u003e\u003cul\u003e\n\u003cli\u003e60% more material than the first edition\u003c\/li\u003e\n\u003cli\u003eAdditional chapters on weighting of compositional parts, the analysis of complete compositions, the analysis of shape, high-dimensional genomic compositions, as well as two more case studies\u003c\/li\u003e\n\u003cli\u003ePractical, example-driven approach, using 13 different data sets across different disciplines\u003c\/li\u003e\n\u003cli\u003eUnique eight-pages-per-chapter format to facilitate both self-study and teaching of the subject\u003c\/li\u003e\n\u003cli\u003eRevision of the easyCODA R package to include new features such as amalgamation clustering and variable selection in unsupervised and supervised learning\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003eThe book is a valuable resource for practitioners in all applied areas where compositional data are encountered, including bio- and geochemistry, food research, genomics, ecology, linguistics, marketing, financial budgets in economics, and time-use in behavioural research and epidemiology.\u003c\/p\u003e","brand":"WoB","offers":[{"title":"- \/ - \/ INTERNAL","offer_id":53800286388497,"sku":null,"price":0.0,"currency_code":"USD","in_stock":true},{"title":"GB \/ NEW \/ GARDNERS","offer_id":53800287043857,"sku":"NGR9781041235422","price":80.09,"currency_code":"USD","in_stock":false}],"url":"https:\/\/www.worldofbooks.com\/products\/compositional-data-analysis-in-practice-book-michael-greenacre-9781041235422","provider":"World of Books ","version":"1.0","type":"link"}