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E-raamat: Sampling and Statistical Methods for Behavioral Ecologists

(United States Geological Survey, California), (Ohio State University), (Ohio State University)
  • Formaat: PDF+DRM
  • Ilmumisaeg: 10-Dec-1998
  • Kirjastus: Cambridge University Press
  • Keel: eng
  • ISBN-13: 9780511037542
  • Formaat - PDF+DRM
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  • Formaat: PDF+DRM
  • Ilmumisaeg: 10-Dec-1998
  • Kirjastus: Cambridge University Press
  • Keel: eng
  • ISBN-13: 9780511037542

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Lucid discussion of statistical and sampling techniques of relevance to field biologists.

This book describes the sampling and statistical methods used most often by behavioral ecologists and field biologists. Written by a biologist and two statisticians, it provides a rigorous discussion together with worked examples of statistical concepts and methods that are generally not covered in introductory courses, and which are consequently poorly understood and applied by field biologists. The first section reviews important issues such as defining the statistical population and the sampling plan when using nonrandom methods for sample selection, bias, interpretation of statistical tests, confidence intervals, and multiple comparisons. After a detailed discussion of sampling methods and multiple regression, subsequent chapters discuss specialized problems such as pseudoreplication, and their solutions. This volume will quickly become the favorite statistical handbook for all field biologists.

Arvustused

'I found the book was clearly written and quite easy to read. There is a place for a book like this, and it will be useful to many ' David L. Thomson, Animal Behaviour 'The book is well-structured and statistical argumentation is illustrated with many biological examples. I recommend it strongly to biologists who are interested in learning what kind of problems can occur in the analysis of animal behaviour.' Ethology

Muu info

This 1998 book is a lucid discussion of statistical and sampling techniques of relevance to field biologists.
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