Model Selection and Multimodel Inference: A Practical Information-Theoretic Approach

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Springer Science & Business Media, Jul 12, 2002 - Mathematics - 488 pages
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We wrote this book to introduce graduate students and research workers in various scienti?c disciplines to the use of information-theoretic approaches in the analysis of empirical data. These methods allow the data-based selection of a “best” model and a ranking and weighting of the remaining models in a pre-de?ned set. Traditional statistical inference can then be based on this selected best model. However, we now emphasize that information-theoretic approaches allow formal inference to be based on more than one model (m- timodel inference). Such procedures lead to more robust inferences in many cases, and we advocate these approaches throughout the book. The second edition was prepared with three goals in mind. First, we have tried to improve the presentation of the material. Boxes now highlight ess- tial expressions and points. Some reorganization has been done to improve the ?ow of concepts, and a new chapter has been added. Chapters 2 and 4 have been streamlined in view of the detailed theory provided in Chapter 7. S- ond, concepts related to making formal inferences from more than one model (multimodel inference) have been emphasized throughout the book, but p- ticularly in Chapters 4, 5, and 6. Third, new technical material has been added to Chapters 5 and 6. Well over 100 new references to the technical literature are given. These changes result primarily from our experiences while giving several seminars, workshops, and graduate courses on material in the ?rst e- tion.
  

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Excellent book for model selection, helped me a lot on my PhD work. Thanks

Contents

IV
1
V
5
VII
6
VIII
13
IX
15
X
20
XI
22
XII
23
CXV
207
CXVI
210
CXVII
215
CXVIII
219
CXIX
221
CXX
224
CXXI
225
CXXII
229

XV
25
XVII
26
XIX
27
XX
29
XXI
31
XXII
35
XXIII
37
XXIV
38
XXV
40
XXVI
43
XXVII
45
XXVIII
47
XXIX
49
XXX
50
XXXI
54
XXXII
58
XXXIII
60
XXXIV
65
XXXV
66
XXXVI
67
XXXVII
70
XXXVIII
72
XXXIX
74
XL
75
XLI
76
XLII
77
XLIII
80
XLV
81
XLVII
82
XLVIII
83
L
84
LII
85
LIII
86
LIV
87
LVI
88
LVII
89
LVIII
90
LIX
91
LX
93
LXI
94
LXII
96
LXIII
98
LXIV
100
LXV
101
LXVI
102
LXVII
106
LXVIII
108
LXIX
110
LXX
111
LXXI
112
LXXII
113
LXXIV
117
LXXV
120
LXXVI
121
LXXVII
124
LXXVIII
125
LXXIX
126
LXXX
127
LXXXI
129
LXXXII
131
LXXXIII
132
LXXXIV
134
LXXXV
137
LXXXVI
138
LXXXVIII
139
LXXXIX
141
XC
142
XCI
143
XCII
149
XCIII
150
XCIV
151
XCV
153
XCVI
155
XCVII
158
XCVIII
164
XCIX
167
C
169
CI
171
CII
173
CIII
176
CIV
177
CV
183
CVI
187
CVII
188
CVIII
190
CIX
191
CX
193
CXI
195
CXII
201
CXIII
203
CXIV
206
CXXIII
235
CXXIV
238
CXXV
244
CXXVI
248
CXXVII
255
CXXVIII
256
CXXX
258
CXXXII
260
CXXXIII
261
CXXXIV
264
CXXXV
267
CXXXVI
268
CXXXVII
269
CXXXIX
271
CXL
274
CXLI
276
CXLII
279
CXLIII
284
CXLV
286
CXLVI
288
CXLVII
289
CXLVIII
293
CXLIX
295
CL
298
CLI
301
CLII
302
CLIII
305
CLV
307
CLVI
309
CLVII
310
CLVIII
313
CLIX
316
CLX
317
CLXI
318
CLXII
320
CLXIII
323
CLXIV
325
CLXV
326
CLXVI
328
CLXVII
330
CLXVIII
332
CLXIX
333
CLXX
334
CLXXII
336
CLXXIII
337
CLXXIV
339
CLXXV
340
CLXXVI
342
CLXXVII
344
CLXXVIII
345
CLXXIX
347
CLXXX
352
CLXXXII
362
CLXXXIII
371
CLXXXIV
372
CLXXXV
374
CLXXXVI
379
CLXXXVII
380
CLXXXVIII
384
CLXXXIX
385
CXC
390
CXCI
397
CXCII
405
CXCIII
406
CXCIV
412
CXCV
415
CXCVI
417
CXCVII
419
CXCVIII
421
CXCIX
424
CC
426
CCII
427
CCIII
428
CCIV
429
CCV
434
CCVI
437
CCVII
439
CCVIII
440
CCIX
442
CCX
443
CCXI
444
CCXII
446
CCXIII
447
CCXIV
448
CCXV
449
CCXVI
451
CCXVIII
454
CCXIX
455
CCXX
485
Copyright

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About the author (2002)

Burnham of the Colorado Cooperative Fish & Wildlife Research Unit, Ft. Collins

Anderson received B.S. and M.S. degrees in wildlife biology an a PhD in theoretical ecology. He currently is Senior Scientist ith the Biological Resources Division within the U.S Geological Survey and a professor in the Department of Fishery and Wildlife Biology.

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