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Tables of Contents for Sampling and Statistical Methods for Behavioral Ecologists
Chapter/Section Title
Page #
Page Count
Preface
ix
 
Statiscal analysis in behavioral ecology
1
13
Introduction
1
1
Specifying the population
1
4
Inferences about the population
5
6
Extrapolation to other populations
11
1
Summary
12
2
Estimation
14
33
Introduction
14
1
Notation and definitions
15
2
Distributions of discrete random variables
17
4
Expected value
21
3
Variance and covariance
24
2
Standard deviation and standard error
26
1
Estimated standard errors
26
4
Estimating variability in a population
30
2
More on expected value
32
2
Linear transformations
34
2
The Taylor series approximation
36
6
Maximum likelihood estimation
42
3
Summary
45
2
Tests and confidence intervals
47
38
Introduction
47
1
Statistical tests
47
11
Confidence intervals
58
7
Sample size requirements and power
65
3
Parametric tests for one and two samples
68
10
Nonparametric tests for one or two samples
78
3
Tests for more than two samples
81
3
Summary
84
1
Survey sampling methods
85
63
Introduction
85
1
Overview
86
11
The finite population correction
97
2
Sample selection methods
99
10
Multistage sampling
109
15
Stratified sampling
124
7
Comparison of the methods
131
1
Additional methods
132
5
Notation for complex designs
137
2
Nonrandom sampling in complex designs
139
7
Summary
146
2
Regression
148
29
Introduction
148
1
Scatterplots and correlation
148
6
Simple linear regression
154
5
Multiple regression
159
15
Regression with multistage sampling
174
2
Summary
176
1
Pseudoreplication
177
13
Introduction
177
1
Power versus generality
178
4
Fish, fish tanks, and fish trials
182
3
The great playback debate
185
2
Causal inferences with unreplicated treatments
187
1
Summary
187
3
Sampling behavior
190
10
Introduction
190
1
Defining behaviors and bouts
190
2
Allocation of effort
192
4
Obtaining the data
196
1
Analysis
197
2
Summary
199
1
Monitoring abundance
200
19
Introduction
200
1
Defining `the trend'
201
8
Estimating standard errors
209
1
Outliers and missing data
210
1
Index methods
211
5
Pseudoreplication
216
1
Summary
217
2
Capture--recapture methods
219
9
Introduction
219
1
Rationale
219
1
Capture histories and models
220
2
Model selection
222
1
Closed population models
222
1
Open population models
223
3
Summary
226
2
Estimating survivorship
228
10
Introduction
228
1
Telemetry studies
228
3
Nesting success
231
5
Summary
236
2
Resource selection
238
10
Introduction
238
1
Population units and parameters
239
4
Several animals
243
1
Multivariate definition of resources
244
2
Summary
246
2
Other statistical methods
248
9
Introduction
248
1
Adaptive sampling
248
1
Line transect sampling
249
1
Path analysis
250
1
Sequential analysis
251
2
Community analysis
253
1
Summary
254
3
Appendix One Frequently used statistical methods
257
22
Appendix Two Statistical tables
279
32
Appendix Three Notes for Appendix One
311
9
References
320
8
Index
328