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Multivariate Statistical Methods
The purpose of this book is to introduce multivariate statistical methods to non-mathematicians. It is not intended to be comprehensive. Rather, the intention is to keep the details to a minimum while still conveying a good idea of what can be done. In other words, it is a book to 'get you going' in a particular area of statistical methods.
This second edition has retained all of Professor Manly's crystal clear style. It is based on a course that has been taught successfully at the University of Otago for a number of years but has increased coverage on measuring distances between cases based on presence-absence data, a new selection on logistic regression, new exercises and two completely new chapters on graphical methods and ordination. The author has taken into account the major shift in the way in which computer software is used, but the emphasis is on the underlying principles rather than the use of particular programs.
This second edition has retained all of Professor Manly's crystal clear style. It is based on a course that has been taught successfully at the University of Otago for a number of years but has increased coverage on measuring distances between cases based on presence-absence data, a new selection on logistic regression, new exercises and two completely new chapters on graphical methods and ordination. The author has taken into account the major shift in the way in which computer software is used, but the emphasis is on the underlying principles rather than the use of particular programs.
150 pages, Paperback
Published January 1, 1986
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Displaying 1 - 4 of 4 reviews
October 30, 2019
یک کتاب کاربردی در زمینه تحلیل داده های چند متغیری برای دانشجویان تحصیلات تکمیلی در حوزه علوم زیستی هستش که در آن تمامی تحلیلهای آماری با استفاده از نرم افزار آر انجام شده است. کدهای عالی و داده های کتاب رو هم میشه از وب براحتی گرفت .
July 1, 2011
This book is as the title states: a primer on multivariate statistics. The coverage is good with enough details to understand the different methods. There isn't much hard-core theory.
January 20, 2016
disappointed this book used different notation from the other statistics book I used for the same class.
December 9, 2022
Really difficult to follow. "Uses" R but doesn't make it easy to replicate code.
Displaying 1 - 4 of 4 reviews




