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OverviewFull Product DetailsAuthor: Weikai Yan , Manjit S. KangPublisher: Taylor & Francis Inc Imprint: CRC Press Inc Dimensions: Width: 17.80cm , Height: 2.50cm , Length: 25.40cm Weight: 0.704kg ISBN: 9780849313387ISBN 10: 0849313384 Pages: 286 Publication Date: 28 August 2002 Audience: General/trade , General Format: Hardback Publisher's Status: Active Availability: In Print This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us. Table of ContentsReviews"""The objective (of this book) is to demonstrate the power of this (biplot) graphical analysis and enable other scientists to effectively use the methodology and software to gain more insight into their own data. I believe that Yan and Kang have achieved this objective and that someone who has not used this ordination approach before could do so with this book as their guide. ""A major advantage of biplot methodology is that it can be applied to any two-way data with multiple entries and multiple attributes in order to obtain a better understanding of the relationships among entries, relationships among attributes, and the interactions between entries and attributes. Hence the material in this book will be of benefit to any scientists working with such data. I believe no other book covers this methodology and software in equivalent depth and breadth. ""I have no hesitation in recommending this book to breeders, geneticists, agronomists, ecologists, and to biometricians working with them. The biplot methodology greatly enhances the ability to understand and interpret two-way data and this graphical analysis can be readily implemented with the GGEbiplot software."" - K. E. Basford, in Biometrics, Vol 59, 2003" The objective (of this book) is to demonstrate the power of this (biplot) graphical analysis and enable other scientists to effectively use the methodology and software to gain more insight into their own data. I believe that Yan and Kang have achieved this objective and that someone who has not used this ordination approach before could do so with this book as their guide. A major advantage of biplot methodology is that it can be applied to any two-way data with multiple entries and multiple attributes in order to obtain a better understanding of the relationships among entries, relationships among attributes, and the interactions between entries and attributes. Hence the material in this book will be of benefit to any scientists working with such data. I believe no other book covers this methodology and software in equivalent depth and breadth. I have no hesitation in recommending this book to breeders, geneticists, agronomists, ecologists, and to biometricians working with them. The biplot methodology greatly enhances the ability to understand and interpret two-way data and this graphical analysis can be readily implemented with the GGEbiplot software. - K. E. Basford, in Biometrics, Vol 59, 2003 Author InformationYan, Weikai; Kang, Manjit S. Tab Content 6Author Website:Countries AvailableAll regions |