Introduction to distance sampling : estimating abundance of biological populations

Contributor(s): Buckland, S. T. and othersMaterial type: TextTextPublication details: Oxford ; New York : Oxford University Press, 2001Description: xv, 432 p. : ill., mapISBN: 019850649X; 0198509278 (pbk.); 9780198509271Subject(s): Animal populations | Sampling (Statistics)DDC classification: 591.5248 Online resources: Click here to access online | Click here to access online
Contents:
Distance sampling methods -- Quadrat sampling -- Strip transect sampling -- Line transect sampling -- Point counts -- Point transect sampling -- Trapping webs -- Cue counting -- Dung counts -- Related techniques -- The detection function -- Range of applications -- Objects of interest -- Method of transect coverage -- Clustered populations -- Types of data -- Ungrouped data -- Grouped data -- Data truncation -- Units of measurement -- Ancillary data -- Known constants and parameters -- Known constants -- Parameters -- Assumptions -- Fundamental concept -- Detection of objects -- Cue production -- Observer effectiveness -- Environment -- History of methods -- Line transects -- Point transects -- Program Distance -- Assumptions and modelling philosophy -- Assumption 1: objects on the line or point are detected with certainty -- Assumption 2: objects are detected at their initial location -- Assumption 3: measurements are exact -- Other assumptions -- Fundamental models -- Line transects -- Point transects -- Philosophy and strategy -- Model robustness -- Shape criterion -- Efficiency -- Model fit -- Test power -- Robust models -- Some analysis guidelines -- Exploratory phase -- Model selection -- Final analysis and inference -- Statistical theory -- General formula -- Standard distance sampling -- Line transect sampling -- Point transect sampling -- Distance sampling with multipliers -- The key function formulation for distance data -- Maximum likelihood methods -- Ungrouped data -- Grouped data.
Summary: The term 'distance sampling' covers a range of statistical methods for assessing wildlife abundance. Drawing from the book "Distance sampling", this work focuses on teaching the standard techniques to practitioners in population assessment.
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Includes index

Distance sampling methods --
Quadrat sampling --
Strip transect sampling --
Line transect sampling --
Point counts --
Point transect sampling --
Trapping webs --
Cue counting --
Dung counts --
Related techniques --
The detection function --
Range of applications --
Objects of interest --
Method of transect coverage --
Clustered populations --
Types of data --
Ungrouped data --
Grouped data --
Data truncation --
Units of measurement --
Ancillary data --
Known constants and parameters --
Known constants --
Parameters --
Assumptions --
Fundamental concept --
Detection of objects --
Cue production --
Observer effectiveness --
Environment --
History of methods --
Line transects --
Point transects --
Program Distance --
Assumptions and modelling philosophy --
Assumption 1: objects on the line or point are detected with certainty --
Assumption 2: objects are detected at their initial location --
Assumption 3: measurements are exact --
Other assumptions --
Fundamental models --
Line transects --
Point transects --
Philosophy and strategy --
Model robustness --
Shape criterion --
Efficiency --
Model fit --
Test power --
Robust models --
Some analysis guidelines --
Exploratory phase --
Model selection --
Final analysis and inference --
Statistical theory --
General formula --
Standard distance sampling --
Line transect sampling --
Point transect sampling --
Distance sampling with multipliers --
The key function formulation for distance data --
Maximum likelihood methods --
Ungrouped data --
Grouped data.

The term 'distance sampling' covers a range of statistical methods for assessing wildlife abundance. Drawing from the book "Distance sampling", this work focuses on teaching the standard techniques to practitioners in population assessment.

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