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03635nam a22004215i 4500 |
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978-1-4612-1288-1 |
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20191025022738.0 |
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cr nn 008mamaa |
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110719s2000 xxu| s |||| 0|eng d |
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|a 9781461212881
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|a 10.1007/978-1-4612-1288-1
|2 doi
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|a Sistema de Bibliotecas del Tecnológico de Costa Rica
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| 100 |
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|a McGarigal, Kevin.
|e author.
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|a Multivariate Statistics for Wildlife and Ecology Research
|c by Kevin McGarigal, Samuel A. Cushman, Susan Stafford.
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| 250 |
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|a 1st ed. 2000.
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| 260 |
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|a New York, NY :
|b Springer New York :
|b Imprint: Springer,
|c 2000.
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| 300 |
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|a XIII, 283 p.
|b online resource.
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| 336 |
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|a text
|b txt
|2 rdacontent
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| 337 |
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|a computer
|b c
|2 rdamedia
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| 338 |
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|a online resource
|b cr
|2 rdacarrier
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|a 1 Introduction and Overview -- 1.1 Objectives -- 1.2 Multivariate Statistics: An Ecological Perspective -- 1.3 Multivariate Description and Inference -- 1.4 Multivariate Confusion! -- 1.5 Types of Multivariate Techniques -- 2 Ordination: Principal Components Analysis -- 2.1 Objectives -- 2.2 Conceptual Overview -- 2.3 Geometric Overview -- 2.4 The Data Set -- 2.5 Assumptions -- 2.6 Sample Size Requirements -- 2.7 Deriving the Principal Components -- 2.8 Assessing the Importance of the Principal Components -- 2.9 Interpreting the Principal Components -- 2.10 Rotating the Principal Components -- 2.11 Limitations of Principal Components Analysis -- 2.12 R-Factor Versus Q-Factor Ordination -- 2.13 Other Ordination Techniques -- Appendix 2.1 -- 3 Cluster Analysis -- 3.1 Objectives -- 3.2 Conceptual Overview -- 3.3 The Definition of Cluster -- 3.4 The Data Set -- 3.5 Clustering Techniques -- 3.6 Nonhierarchical Clustering -- 3.7 Hierarchical Clustering -- 3.8 Evaluating the Stability of the Cluster Solution -- 3.9 Complementary Use of Ordination and Cluster Analysis -- 3.10 Limitations of Cluster Analysis -- Appendix 3.1 -- 4 Discriminant Analysis -- 4.1 Objectives -- 4.2 Conceptual Overview -- 4.3 Geometric Overview -- 4.4 The Data Set -- 4.5 Assumptions -- 4.6 Sample Size Requirements -- 4.7 Deriving the Canonical Functions -- 4.8 Assessing the Importance of the Canonical Functions -- 4.9 Interpreting the Canonical Functions -- 4.10 Validating the Canonical Functions -- 4.11 Limitations of Discriminant Analysis -- Appendix 4.1 -- 5 Canonical Correlation Analysis -- 5.1 Objectives -- 5.2 Conceptual Overview -- 5.3 Geometric Overview -- 5.4 The Data Set -- 5.5 Assumptions -- 5.6 Sample Size Requirements -- 5.7 Deriving the Canonical Variates -- 5.8 Assessing the Importance of the Canonical Variates -- 5.9 Interpreting the Canonical Variates -- 5.10 Validating the Canonical Variates -- 5.11 Limitations of Canonical Correlation Analysis -- Appendix 5.1 -- 6 Summary and Comparison -- 6.1 Objectives -- 6.2 Relationship Among Techniques -- 6.3 Complementary Use of Techniques -- Appendix: Acronyms Used in This Book. .
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| 650 |
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0 |
|a Ecology .
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| 650 |
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|a Biomathematics.
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| 650 |
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|a Environmental sciences.
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| 650 |
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|a Wildlife.
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| 650 |
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|a Fish.
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| 650 |
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|a Statistics .
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| 650 |
1 |
4 |
|a Theoretical Ecology/Statistics.
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| 650 |
2 |
4 |
|a Ecology.
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| 650 |
2 |
4 |
|a Mathematical and Computational Biology.
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| 650 |
2 |
4 |
|a Math. Appl. in Environmental Science.
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| 650 |
2 |
4 |
|a Fish & Wildlife Biology & Management.
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| 650 |
2 |
4 |
|a Statistics for Life Sciences, Medicine, Health Sciences.
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| 700 |
1 |
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|a Cushman, Samuel A.
|e author.
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| 700 |
1 |
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|a Stafford, Susan.
|e author.
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| 710 |
2 |
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|a SpringerLink (Online service)
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| 773 |
0 |
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|t Springer eBooks
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| 856 |
4 |
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|u https://doi.org/10.1007/978-1-4612-1288-1
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