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OverviewFull Product DetailsAuthor: Neil H. Spencer (University of Hertfordshire Hertfordshire Business School, de Havilland Campus, Hatfield, UK)Publisher: Taylor & Francis Ltd Imprint: CRC Press Weight: 0.453kg ISBN: 9781138462434ISBN 10: 1138462438 Pages: 186 Publication Date: 13 November 2017 Audience: College/higher education , General/trade , Tertiary & Higher Education , 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 ContentsFrequently Asked Questions. Graphical Presentation of Multivariate Data. Multivariate Tests of Significance. Factor Analysis. Cluster Analysis. Discriminant Analysis. Multidimensional Scaling. Correspondence Analysis. References. Index.ReviewsPostgraduate students without a mathematical or statistical background may find the book helpful as a first step in investigating which multivariate statistics technique may be appropriate to use in their research. ... the writing style is very conversational and the mathematics is kept to a minimum. ... This book could also be used in an undergraduate research methods course in the social sciences or any other area where the students have a reputation of fearing mathematics. --Australian & New Zealand Journal of Statistics, 2016 ... this text provides an overview at an introductory level of several methods in multivariate data analysis. It contains in-depth examples from one data set woven throughout the text, and a free [Excel] Add-In to perform the analyses in Excel, with step-by-step instructions provided for each technique. ... could be used as a text (possibly supplemental) for courses in other fields where researchers wish to apply these methods without delving too deeply into the underlying statistics. --The American Statistician, February 2015 ... a good introductory read for students studying more mathematical/statistical courses ... --International Journal of Environmental Analytical Chemistry, 2015 Postgraduate students without a mathematical or statistical background may find the book helpful as a first step in investigating which multivariate statistics technique may be appropriate to use in their research. ... the writing style is very conversational and the mathematics is kept to a minimum. ... This book could also be used in an undergraduate research methods course in the social sciences or any other area where the students have a reputation of fearing mathematics. -Australian & New Zealand Journal of Statistics, 2016 ... this text provides an overview at an introductory level of several methods in multivariate data analysis. It contains in-depth examples from one data set woven throughout the text, and a free [Excel] Add-In to perform the analyses in Excel, with step-by-step instructions provided for each technique. ... could be used as a text (possibly supplemental) for courses in other fields where researchers wish to apply these methods without delving too deeply into the underlying statistics. -The American Statistician, February 2015 ... a good introductory read for students studying more mathematical/statistical courses ... -International Journal of Environmental Analytical Chemistry, 2015 Postgraduate students without a mathematical or statistical background may find the book helpful as a first step in investigating which multivariate statistics technique may be appropriate to use in their research. ... the writing style is very conversational and the mathematics is kept to a minimum. ... This book could also be used in an undergraduate research methods course in the social sciences or any other area where the students have a reputation of fearing mathematics. -Australian & New Zealand Journal of Statistics, 2016 ... this text provides an overview at an introductory level of several methods in multivariate data analysis. It contains in-depth examples from one data set woven throughout the text, and a free [Excel] Add-In to perform the analyses in Excel, with step-by-step instructions provided for each technique. ... could be used as a text (possibly supplemental) for courses in other fields where researchers wish to apply these methods without delving too deeply into the underlying statistics. -The American Statistician, February 2015 ... a good introductory read for students studying more mathematical/statistical courses ... -International Journal of Environmental Analytical Chemistry, 2015 Author InformationDr. Neil H. Spencer is a reader in applied statistics and director of the Statistical Services and Consultancy Unit at the University of Hertfordshire. His research interests include multilevel models, multivariate methods, statistical computing, multiple testing, and testing for randomness. Tab Content 6Author Website:Countries AvailableAll regions |
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