Ecological models and data in R:
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Buch |
| Sprache: | English |
| Veröffentlicht: |
Princeton, NJ [u.a.]
Princeton University Press
2008
|
| Schlagworte: | |
| Online-Zugang: | Inhaltsverzeichnis |
| Beschreibung: | Includes bibliographical references |
| Beschreibung: | VII, 396 S. graph. Darst. |
| ISBN: | 9780691125220 |
Internformat
MARC
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| 100 | 1 | |a Bolker, Benjamin M. |d 1967- |e Verfasser |0 (DE-588)1147098662 |4 aut | |
| 245 | 1 | 0 | |a Ecological models and data in R |c Benjamin M. Bolker |
| 264 | 1 | |a Princeton, NJ [u.a.] |b Princeton University Press |c 2008 | |
| 300 | |a VII, 396 S. |b graph. Darst. | ||
| 336 | |b txt |2 rdacontent | ||
| 337 | |b n |2 rdamedia | ||
| 338 | |b nc |2 rdacarrier | ||
| 500 | |a Includes bibliographical references | ||
| 650 | 4 | |a Mathematisches Modell | |
| 650 | 4 | |a Ökologie | |
| 650 | 4 | |a Ecology |x Statistical methods | |
| 650 | 4 | |a Ecology |x Mathematical models | |
| 650 | 4 | |a Ecology |x Simulation methods | |
| 650 | 4 | |a R (Computer program language) | |
| 650 | 0 | 7 | |a R |g Programm |0 (DE-588)4705956-4 |2 gnd |9 rswk-swf |
| 650 | 0 | 7 | |a Ökologie |0 (DE-588)4043207-5 |2 gnd |9 rswk-swf |
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| 999 | |a oai:aleph.bib-bvb.de:BVB01-016730926 | ||
Datensatz im Suchindex
| _version_ | 1804138007213637632 |
|---|---|
| adam_text | Contents
Acknowledgments
ix
0
Introduction and Background
ι
1.1
Introduction
1
1.2
What This Book Is Not About
3
1.3
Frameworks for Modeling
5
1.4
Frameworks for Statistical Inference
10
1.5
Frameworks for Computing
17
1.6
Outline of the Modeling Process
20
1.7
R
Supplement
22
u
Exploratory Data Analysis and Graphics
29
2.1
Introduction
29
2.2
Getting Data into
R
30
2.3
Data Types
34
2.4
Exploratory Data Analysis and Graphics
40
2.5
Conclusion
59
2.6
R
Supplement
59
U
Deterministic Functions for Ecological Modeling
72
3.1
Introduction
72
3.2
Finding Out about Functions Numerically
73
3.3
Finding Out about Functions Analytically
76
3.4
Bestiary of Functions
87
3.5
Conclusion
100
3.6
R
Supplement
100
Đ
Probability and Stochastic Distributions for Ecological Modeling
юз
4.1
Introduction: Why Does Variability Matter?
103
4.2
Basic Probability Theory
104
4.3
Bayes
Rule
107
4.4
Analyzing Probability Distributions
115
4.5
Bestiary of Distributions
120
4.6
Extending Simple Distributions: Compounding and Generalizing
. 137
4.7
R
Supplement
141
vi
· CONTENTS
Stochastic Simulation and Power Analysis
147
5.1
Introduction
147
5.2
Stochastic Simulation
148
5.3
Power Analysis
156
Likelihood and All That u9
6.1
Introduction
169
6.2
Parameter Estimation: Single Distributions
169
6.3
Estimation for More Complex Functions
182
6.4
Likelihood Surfaces, Profiles, and Confidence Intervals
187
6.5
Confidence Intervals for Complex Models: Quadratic
Approximation
196
6.6
Comparing Models
201
6.7
Conclusion
220
Optimization and All That
222
7.1
Introduction
222
7.2
Fitting Methods
223
7.3
Markov Chain Monte Carlo
233
7.4
Fitting Challenges
241
7.5
Estimating Confidence Limits of Functions of Parameters
250
7.6
R
Supplement
258
Likelihood Examples
26З
8.1
Tadpole
Prédation
263
8.2
Goby Survival
276
8.3
Seed Removal
283
Standard Statistics Revisited
298
9.1
Introduction
298
9.2
General Linear Models
300
9.3
Nonlinearity: Nonlinear Least Squares
306
9.4
Nonnormal Errors: Generalized Linear Models
308
9.5
R
Supplement
312
Modeling Variance
зіб
10.1
Introduction
316
10.2
Changing Variance within Blocks
318
10.3
Correlations: Time-Series and Spatial Data
320
10.4
Multilevel Models: Special Cases
324
10.5
General Multilevel Models
327
10.6
Challenges
333
10.7
Conclusion
334
10.8
R
Supplement
335
CONTENTS
·
vii
Dynamic Models
337
11.1
Introduction
337
11.2
Simulating Dynamic Models
338
11.3
Observation and Process Error
342
11.4
Process and Observation Error
344
11.5
SIMEX
346
11.6
State-Space Models
348
11.7
Conclusions
357
11.8
R
Supplement
360
Afterword
362
Appendix
Algebra
and Calculus Basics
A.I Exponentials and Logarithms
363
A.2 Differential Calculus
364
A.3 Partial Differentiation
364
A.4 Integral Calculus
365
A.5 Factorials and the Gamma Function
365
A.6 Probability
365
A.7 The Delta Method
366
A.8 Linear Algebra Basics
366
Bibliography
369
Index of
R
Arguments, Functions, and Packages
383
Generalindex
389
|
| adam_txt |
Contents
Acknowledgments
ix
0
Introduction and Background
ι
1.1
Introduction
1
1.2
What This Book Is Not About
3
1.3
Frameworks for Modeling
5
1.4
Frameworks for Statistical Inference
10
1.5
Frameworks for Computing
17
1.6
Outline of the Modeling Process
20
1.7
R
Supplement
22
u
Exploratory Data Analysis and Graphics
29
2.1
Introduction
29
2.2
Getting Data into
R
30
2.3
Data Types
34
2.4
Exploratory Data Analysis and Graphics
40
2.5
Conclusion
59
2.6
R
Supplement
59
U
Deterministic Functions for Ecological Modeling
72
3.1
Introduction
72
3.2
Finding Out about Functions Numerically
73
3.3
Finding Out about Functions Analytically
76
3.4
Bestiary of Functions
87
3.5
Conclusion
100
3.6
R
Supplement
100
Đ
Probability and Stochastic Distributions for Ecological Modeling
юз
4.1
Introduction: Why Does Variability Matter?
103
4.2
Basic Probability Theory
104
4.3
Bayes'
Rule
107
4.4
Analyzing Probability Distributions
115
4.5
Bestiary of Distributions
120
4.6
Extending Simple Distributions: Compounding and Generalizing
. 137
4.7
R
Supplement
141
vi
· CONTENTS
Stochastic Simulation and Power Analysis
147
5.1
Introduction
147
5.2
Stochastic Simulation
148
5.3
Power Analysis
156
Likelihood and All That u9
6.1
Introduction
169
6.2
Parameter Estimation: Single Distributions
169
6.3
Estimation for More Complex Functions
182
6.4
Likelihood Surfaces, Profiles, and Confidence Intervals
187
6.5
Confidence Intervals for Complex Models: Quadratic
Approximation
196
6.6
Comparing Models
201
6.7
Conclusion
220
Optimization and All That
222
7.1
Introduction
222
7.2
Fitting Methods
223
7.3
Markov Chain Monte Carlo
233
7.4
Fitting Challenges
241
7.5
Estimating Confidence Limits of Functions of Parameters
250
7.6
R
Supplement
258
Likelihood Examples
26З
8.1
Tadpole
Prédation
263
8.2
Goby Survival
276
8.3
Seed Removal
283
Standard Statistics Revisited
298
9.1
Introduction
298
9.2
General Linear Models
300
9.3
Nonlinearity: Nonlinear Least Squares
306
9.4
Nonnormal Errors: Generalized Linear Models
308
9.5
R
Supplement
312
Modeling Variance
зіб
10.1
Introduction
316
10.2
Changing Variance within Blocks
318
10.3
Correlations: Time-Series and Spatial Data
320
10.4
Multilevel Models: Special Cases
324
10.5
General Multilevel Models
327
10.6
Challenges
333
10.7
Conclusion
334
10.8
R
Supplement
335
CONTENTS
·
vii
Dynamic Models
337
11.1
Introduction
337
11.2
Simulating Dynamic Models
338
11.3
Observation and Process Error
342
11.4
Process and Observation Error
344
11.5
SIMEX
346
11.6
State-Space Models
348
11.7
Conclusions
357
11.8
R
Supplement
360
Afterword
362
Appendix
Algebra
and Calculus Basics
A.I Exponentials and Logarithms
363
A.2 Differential Calculus
364
A.3 Partial Differentiation
364
A.4 Integral Calculus
365
A.5 Factorials and the Gamma Function
365
A.6 Probability
365
A.7 The Delta Method
366
A.8 Linear Algebra Basics
366
Bibliography
369
Index of
R
Arguments, Functions, and Packages
383
Generalindex
389 |
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| dewey-ones | 577 - Ecology |
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| id | DE-604.BV035062427 |
| illustrated | Illustrated |
| index_date | 2024-07-02T22:00:58Z |
| indexdate | 2024-07-09T21:21:20Z |
| institution | BVB |
| isbn | 9780691125220 |
| language | English |
| lccn | 2007060388 |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-016730926 |
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| spelling | Bolker, Benjamin M. 1967- Verfasser (DE-588)1147098662 aut Ecological models and data in R Benjamin M. Bolker Princeton, NJ [u.a.] Princeton University Press 2008 VII, 396 S. graph. Darst. txt rdacontent n rdamedia nc rdacarrier Includes bibliographical references Mathematisches Modell Ökologie Ecology Statistical methods Ecology Mathematical models Ecology Simulation methods R (Computer program language) R Programm (DE-588)4705956-4 gnd rswk-swf Ökologie (DE-588)4043207-5 gnd rswk-swf Datenanalyse (DE-588)4123037-1 gnd rswk-swf Ökologie (DE-588)4043207-5 s Datenanalyse (DE-588)4123037-1 s R Programm (DE-588)4705956-4 s DE-604 Erscheint auch als Online-Ausgabe 978-1-4008-4090-8 Digitalisierung UB Bayreuth application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=016730926&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis |
| spellingShingle | Bolker, Benjamin M. 1967- Ecological models and data in R Mathematisches Modell Ökologie Ecology Statistical methods Ecology Mathematical models Ecology Simulation methods R (Computer program language) R Programm (DE-588)4705956-4 gnd Ökologie (DE-588)4043207-5 gnd Datenanalyse (DE-588)4123037-1 gnd |
| subject_GND | (DE-588)4705956-4 (DE-588)4043207-5 (DE-588)4123037-1 |
| title | Ecological models and data in R |
| title_auth | Ecological models and data in R |
| title_exact_search | Ecological models and data in R |
| title_exact_search_txtP | Ecological models and data in R |
| title_full | Ecological models and data in R Benjamin M. Bolker |
| title_fullStr | Ecological models and data in R Benjamin M. Bolker |
| title_full_unstemmed | Ecological models and data in R Benjamin M. Bolker |
| title_short | Ecological models and data in R |
| title_sort | ecological models and data in r |
| topic | Mathematisches Modell Ökologie Ecology Statistical methods Ecology Mathematical models Ecology Simulation methods R (Computer program language) R Programm (DE-588)4705956-4 gnd Ökologie (DE-588)4043207-5 gnd Datenanalyse (DE-588)4123037-1 gnd |
| topic_facet | Mathematisches Modell Ökologie Ecology Statistical methods Ecology Mathematical models Ecology Simulation methods R (Computer program language) R Programm Datenanalyse |
| url | http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=016730926&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |
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