Applied Multivariate Statistical Analysis

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Springer Science & Business Media, 2003 - Business & Economics - 486 pages
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Most of the observable phenomena in the empirical sciences are of multivariate nature. This book presents the tools and concepts of multivariate data analysis with a strong focus on applications. The text is devided into three parts. The first part is devoted to graphical techniques describing the distributions of the involved variables. The second part deals with multivariate random variables and presents from a theoretical point of view distributions, estimators and tests for various practical situations. The last part covers multivariate techniques and introduces the reader into the wide basket of tools for multivariate data analysis. The text presents a wide range of examples and 228 exercises.
 

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Contents

II
13
III
14
IV
22
V
25
VI
30
VII
34
VIII
39
IX
42
LXXI
272
LXXII
275
LXXIV
282
LXXV
291
LXXVI
293
LXXVII
298
LXXVIII
301
LXXX
302

X
44
XI
52
XII
55
XIII
57
XV
63
XVI
65
XVII
68
XIX
71
XX
79
XXI
81
XXII
82
XXIII
86
XXIV
92
XXV
95
XXVI
103
XXVII
108
XXVIII
112
XXIX
115
XXX
119
XXXI
120
XXXII
125
XXXIII
135
XXXIV
137
XXXV
142
XXXVI
148
XXXVII
152
XXXVIII
155
XL
162
XLI
165
XLII
167
XLIII
169
XLIV
173
XLV
174
XLVI
178
XLVII
181
XLVIII
183
XLIX
184
L
192
LI
209
LII
212
LIII
217
LIV
219
LV
220
LVI
221
LVII
225
LVIII
227
LIX
228
LX
232
LXI
233
LXII
234
LXIII
238
LXIV
241
LXV
246
LXVI
249
LXVII
250
LXVIII
256
LXIX
259
LXX
261
LXXXI
308
LXXXII
316
LXXXIII
318
LXXXIV
323
LXXXVI
331
LXXXVII
337
LXXXVIII
339
LXXXIX
341
XCI
344
XCII
347
XCIII
358
XCIV
361
XCVI
366
XCVII
372
XCVIII
373
C
379
CII
383
CIII
384
CIV
391
CV
393
CVII
395
CVIII
398
CIX
405
CX
407
CXII
408
CXIII
415
CXIV
417
CXV
418
CXVI
421
CXVIII
425
CXIX
431
CXX
439
CXXI
440
CXXII
443
CXXIII
447
CXXV
448
CXXVI
452
CXXVII
454
CXXVIII
455
CXXIX
457
CXXX
458
CXXXI
459
CXXXII
460
CXXXIII
461
CXXXIV
463
CXXXV
464
CXXXVI
466
CXXXVII
467
CXXXVIII
469
CXXXIX
471
CXL
473
CXLI
475
CXLII
477
CXLIII
478
CXLIV
479
CXLV
483
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Page 7 - The book is divided into three main parts. The first part is devoted to graphical techniques describing the distributions of the variables involved.

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About the author (2003)

Leopold Simar is Professor of Statistics at The Universite Catholique de Louvain, Louvain-la-Neuve, Belgium where he is the Founder-Chairman of the Institute of Statistics.

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