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Estimation of Density from Line Transect Sampling of Biological Populations
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Year: 1980 Publisher: Washington The Wildlife Society

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Model selection and inference : a practical information-theoretic approach
Authors: ---
ISBN: 0387985042 1475729197 1475729170 9780387985046 Year: 1998 Publisher: New York: Springer,

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We wrote this book to introduce graduate students and research workers in var­ ious scientific disciplines to the use of information-theoretic approaches in the analysis of empirical data. In its fully developed form, the information-theoretic approach allows inference based on more than one model (including estimates of unconditional precision); in its initial form, it is useful in selecting a "best" model and ranking the remaining models. We believe that often the critical issue in data analysis is the selection of a good approximating model that best represents the inference supported by the data (an estimated "best approximating model"). In­ formation theory includes the well-known Kullback-Leibler "distance" between two models (actually, probability distributions), and this represents a fundamental quantity in science. In 1973, Hirotugu Akaike derived an estimator of the (relative) Kullback-Leibler distance based on Fisher's maximized log-likelihood. His mea­ sure, now called Akaike 's information criterion (AIC), provided a new paradigm for model selection in the analysis of empirical data. His approach, with a funda­ mental link to information theory, is relatively simple and easy to use in practice, but little taught in statistics classes and far less understood in the applied sciences than should be the case. We do not accept the notion that there is a simple, "true model" in the biological sciences.

Model selection and multimodel inference : a practical information-theoretic approach
Authors: ---
ISBN: 0387953647 9786610009480 1280009489 0387224564 9780387953649 Year: 2002 Publisher: New York, N.Y. Springer

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We wrote this book to introduce graduate students and research workers in various scienti?c disciplines to the use of information-theoretic approaches in the analysis of empirical data. These methods allow the data-based selection of a “best” model and a ranking and weighting of the remaining models in a pre-de?ned set. Traditional statistical inference can then be based on this selected best model. However, we now emphasize that information-theoretic approaches allow formal inference to be based on more than one model (m- timodel inference). Such procedures lead to more robust inferences in many cases, and we advocate these approaches throughout the book. The second edition was prepared with three goals in mind. First, we have tried to improve the presentation of the material. Boxes now highlight ess- tial expressions and points. Some reorganization has been done to improve the ?ow of concepts, and a new chapter has been added. Chapters 2 and 4 have been streamlined in view of the detailed theory provided in Chapter 7. S- ond, concepts related to making formal inferences from more than one model (multimodel inference) have been emphasized throughout the book, but p- ticularly in Chapters 4, 5, and 6. Third, new technical material has been added to Chapters 5 and 6. Well over 100 new references to the technical literature are given. These changes result primarily from our experiences while giving several seminars, workshops, and graduate courses on material in the ?rst e- tion.

Sampling rare or elusive species : concepts, designs, and techniques for estimating population parameters
Authors: ---
ISBN: 1610911067 1597269220 1429495227 9781429495226 9781559634502 1559634502 9781559634519 1559634510 9781610911061 9781597269223 1559635738 9781559635738 1597261238 Year: 2004 Publisher: Washington (D.C.): Island press,


Book
Distance sampling : estimating abundance of biological populations
Authors: --- ---
ISBN: 0412426609 0412426706 9401115745 9780412426704 9780412426605 Year: 1993 Publisher: London : Chapman and Hall,

Design and analysis methods for fish survival experiments based on release-recapture
Authors: --- ---
ISBN: 0913235415 Year: 1987 Publisher: Bethesda American fisheries society

Advanced distance sampling
Authors: --- ---
ISBN: 1280758872 9786610758876 0191545198 1423753062 9781423753063 6610758875 0198507836 9780198507833 0198507836 9781280758874 9780191545191 1383021759 Year: 2005 Publisher: Oxford : Oxford university press,

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This advanced text focuses on the uses of distance sampling to estimate the density and abundance of biological populations. It addresses new methodologies, new technologies and recent developments in statistical theory and is the follow-up companion to Introduction to Distance Sampling (OUP, 2001). In this text, a general theoretical basis is established for methods of estimating animal abundance from sighting surveys, and a wide range of approaches to the design and analysis of distance sampling surveys is explored. These approaches include: modelling animal detectability as a function of covariates, where the effects of habitat, observer, weather, etc. on detectability can be assessed; estimating animal density as a function of location, allowing for example animal density to be related to habitat and other locational covariates; estimating change over time in population abundance, a necessary aspect of any monitoring programme; estimation when detection of animals on the line or at the point is uncertain, as often occurs for marine populations, or when the survey region has dense cover; automated generation of survey designs, using geographic information systems; adaptive distance sampling methods, which concentrate survey effort in areas of high animal density; passive distance sampling methods, which extend the application of distance sampling to species that cannot be readily detected in sightings surveys, but can be trapped; and testing of methods by simulation, so the performance of the approach in varying circumstances can be assessed. Authored by a leading team, this text is aimed at professionals in government and environment agencies, statisticians, biologists, wildlife managers, conservation biologists and ecologists, as well as graduate students, studying the density and abundance of biological populations.


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Statistical inference from capture data on closed animal populations
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Year: 1978 Publisher: Washington Wildlife society

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Estimation of density from line transect sampling of biological populations
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Year: 1980 Publisher: Washington Wildlife society

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Introduction to distance sampling : estimating abundance of biological populations
Authors: --- --- --- --- --- et al.
ISBN: 019850649X 0198509278 Year: 2001 Publisher: Oxford : Oxford University Press,

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Offers a comprehensive introduction to distance sampling, a statistical method used by many biologists and conservationists to estimate animal abundance. The text discusses point transect sampling and line transect sampling and also describes several other related techniques. There are updates on study design and field methods, laser range finders, theodolites and the GPS and advice is given on a wide range of survey methods. Analysis methods have also been generalized, through the use of various types of multiplier and exercises for students in wildlife and conservation management are included.

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