Multivariate statistical methods a primer

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1. Verfasser: Manly, Bryan F. J. 1944- (VerfasserIn)
Format: Buch
Sprache:English
Veröffentlicht: London [u.a.] Chapman and Hall 1994
Ausgabe:2. ed.
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Datensatz im Suchindex

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adam_text Contents Preface xi 1 The material of multivariate analysis 1 1.1 Examples of multivariate data 1 1.2 Preview of multivariate methods 12 1.3 The multivariate normal distribution 15 1.4 Computer programs 16 1.5 Graphical methods 16 References 17 2 Matrix algebra 18 2.1 The need for matrix algebra 18 2.2 Matrices and vectors 18 2.3 Operations on matrices 20 2.4 Matrix inversion 22 2.5 Quadratic forms 23 2.6 Eigenvalues and eigenvectors 23 2.7 Vectors of means and covariance matrices 24 2.8 Further reading 26 References 26 3 Displaying multivariate data 27 3.1 The problem of displaying many variables in two dimensions 27 3.2 Plotting index variables 27 3.3 The draftsman s display 29 3.4 The symbolic representation of data points 30 3.5 Profiles of variables 32 vii viii Contents 3.6 Discussion and further reading 35 References 36 4 Tests of significance with multivariate data 37 4.1 Simultaneous tests on several variables 37 4.2 Comparison of mean values for two samples: single variable case 37 4.3 Comparison of mean values for two samples: multivariate case 39 4.4 Multivariate versus univariate tests 43 4.5 Comparison of variation for two samples: single variable case 44 4.6 Comparison of variation for two samples: multivariate case 44 4.7 Comparisons of means for several samples 49 4.8 Comparison of variation for several samples 51 4.9 Computational methods and computer programs 53 Exercise 53 References 56 5 Measuring and testing multivariate distances 57 5.1 Multivariate distances 57 5.2 Distances between individual observations 57 5.3 Distances between populations and samples 62 5.4 Distances based upon proportions 67 5.5 Presence absence data 68 5.6 The Mantel test 70 5.7 Computational methods and computer programs 73 5.8 Further reading 74 Exercise 74 References 75 6 Principal components analysis 76 6.1 Definition of principal components 76 6.2 Procedure for a principal components analysis 78 6.3 Computational methods and computer programs 88 6.4 Further reading 88 Exercises 88 References 91 Contents ix 7 Factor analysis 93 7.1 The factor analysis model 93 7.2 Procedure for a factor analysis 95 7.3 Principal components factor analysis 97 7.4 Using a factor analysis program to do principal components analysis 99 7.5 Options in computer programs 104 7.6 The value of factor analysis 105 7.7 Computational methods and computer programs 105 7.8 Further reading 106 Exercise 106 References 106 8 Discriminant function analysis 107 8.1 The problem of separating groups 107 8.2 Discrimination using Mahalanobis distances 108 8.3 Canonical discriminant functions 108 8.4 Tests of significance 110 8.5 Assumptions 112 8.6 Allowing for prior probabilities of group membership 117 8.7 Stepwise discriminant function analysis 117 8.8 Jackknife classification of individuals 118 8.9 Assigning of ungrouped individuals to groups 118 8.10 Logistic regression 118 8.11 Computational methods and computer programs 125 8.12 Further reading 126 Exercises 126 References 127 9 Cluster analysis 128 9.1 Uses of cluster analysis 128 9.2 Types of cluster analysis 128 9.3 Hierarchic methods 130 9.4 Problems of cluster analysis 132 9.5 Measures of distance 133 9.6 Principal components analysis with cluster analysis 134 9.7 Computational methods and computer programs 140 x Contents 9.8 Further reading 140 Exercises 144 References 144 10 Canonical correlation analysis 146 10.1 Generalizing a multiple regression analysis 146 10.2 Procedure for a canonical correlation analysis 148 10.3 Tests of significance 149 10.4 Interpreting canonical variates 151 10.5 Computational methods and computer programs 166 10.6 Further reading 166 Exercise 167 References 167 11 Multidimensional scaling 168 11.1 Constructing a map from a distance matrix 168 11.2 Procedure for multidimensional scaling 170 11.3 Computational methods and computer programs 181 11.4 Further reading 181 Exercise 182 References 182 12 Ordination 183 12.1 The ordination problem 183 12.2 Principal components analysis 184 12.3 Principal coordinates analysis 190 12.4 Multidimensional scaling 198 12.5 Correspondence analysis 201 12.6 Comparison of ordination methods 205 12.7 Computational methods and computer programs 206 12.8 Further reading 206 Exercise 206 References 207 13 Epilogue 208 13.1 The next step 208 13.2 Some general reminders 208 13.3 Missing values 209 References 210 Author index 211 Subject index 213
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record_format marc
spellingShingle Manly, Bryan F. J. 1944-
Multivariate statistical methods a primer
Analyse multivariée
Multivariate analyse gtt
Multivariate Analysis
Multivariate analysis
Multivariate Analyse (DE-588)4040708-1 gnd
subject_GND (DE-588)4040708-1
(DE-588)4151278-9
title Multivariate statistical methods a primer
title_auth Multivariate statistical methods a primer
title_exact_search Multivariate statistical methods a primer
title_full Multivariate statistical methods a primer Bryan F. J. Manly
title_fullStr Multivariate statistical methods a primer Bryan F. J. Manly
title_full_unstemmed Multivariate statistical methods a primer Bryan F. J. Manly
title_short Multivariate statistical methods
title_sort multivariate statistical methods a primer
title_sub a primer
topic Analyse multivariée
Multivariate analyse gtt
Multivariate Analysis
Multivariate analysis
Multivariate Analyse (DE-588)4040708-1 gnd
topic_facet Analyse multivariée
Multivariate analyse
Multivariate Analysis
Multivariate analysis
Multivariate Analyse
Einführung
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