Distance Analysis in Biology
Author: M. M. Goodman
Publisher:
Published: 1972
Total Pages: 13
ISBN-13:
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Author: M. M. Goodman
Publisher:
Published: 1972
Total Pages: 13
ISBN-13:
DOWNLOAD EBOOKAuthor: Marin A. Pilloud
Publisher: Academic Press
Published: 2016-07-08
Total Pages: 520
ISBN-13: 0128019719
DOWNLOAD EBOOKBiological Distance Analysis: Forensic and Bioarchaeological Perspectives synthesizes research within the realm of biological distance analysis, highlighting current work within the field and discussing future directions. The book is divided into three main sections. The first section clearly outlines datasets and methods within biological distance analysis, beginning with a brief history of the field and how it has progressed to its current state. The second section focuses on approaches using the individual within a forensic context, including ancestry estimation and case studies. The final section concentrates on population-based bioarchaeological approaches, providing key techniques and examples from archaeological samples. The volume also includes an appendix with additional resources available to those interested in biological distance analyses. Defines datasets and how they are used within biodistance analysis Applies methodology to individual and population studies Bridges the sub-fields of forensic anthropology and bioarchaeology Highlights current research and future directions of biological distance analysis Identifies statistical programs and datasets for use in biodistance analysis Contains cases studies and thorough index for those interested in biological distance analyses
Author: S. T. Buckland
Publisher: Springer
Published: 2015-08-08
Total Pages: 285
ISBN-13: 3319192191
DOWNLOAD EBOOKIn this book, the authors cover the basic methods and advances within distance sampling that are most valuable to practitioners and in ecology more broadly. This is the fourth book dedicated to distance sampling. In the decade since the last book published, there have been a number of new developments. The intervening years have also shown which advances are of most use. This self-contained book covers topics from the previous publications, while also including recent developments in method, software and application. Distance sampling refers to a suite of methods, including line and point transect sampling, in which animal density or abundance is estimated from a sample of distances to detected individuals. The book illustrates these methods through case studies; data sets and computer code are supplied to readers through the book’s accompanying website. Some of the case studies use the software Distance, while others use R code. The book is in three parts. The first part addresses basic methods, the design of surveys, distance sampling experiments, field methods and data issues. The second part develops a range of modelling approaches for distance sampling data. The third part describes variations in the basic method; discusses special issues that arise when sampling different taxa (songbirds, seabirds, cetaceans, primates, ungulates, butterflies, and plants); considers advances to deal with failures of the key assumptions; and provides a check-list for those conducting surveys.
Author: Elizabeth A. DiGangi
Publisher: Academic Press
Published: 2012-09-25
Total Pages: 574
ISBN-13: 0123851890
DOWNLOAD EBOOKResearch Methods in Human Skeletal Biology serves as the one location readers can go to not only learn how to conduct research in general, but how research is specifically conducted within human skeletal biology. It outlines the current types of research being conducted within each sub-specialty of skeletal biology, and gives the reader the tools to set up a research project in skeletal biology. It also suggests several ideas for potential projects. Each chapter has an inclusive bibliography, which can serve as a good jumpstart for project references. Provides a step-by-step guide to conducting research in human skeletal biology Covers diverse topics (sexing, aging, stature and ancestry estimation) and new technologies (histology, medical imaging, and geometric morphometrics) Excellent accompaniment to existing forensic anthropology or osteology works
Author: E. Cela
Publisher: Springer Science & Business Media
Published: 2013-03-14
Total Pages: 296
ISBN-13: 1475727879
DOWNLOAD EBOOKThe quadratic assignment problem (QAP) was introduced in 1957 by Koopmans and Beckmann to model a plant location problem. Since then the QAP has been object of numerous investigations by mathematicians, computers scientists, ope- tions researchers and practitioners. Nowadays the QAP is widely considered as a classical combinatorial optimization problem which is (still) attractive from many points of view. In our opinion there are at last three main reasons which make the QAP a popular problem in combinatorial optimization. First, the number of re- life problems which are mathematically modeled by QAPs has been continuously increasing and the variety of the fields they belong to is astonishing. To recall just a restricted number among the applications of the QAP let us mention placement problems, scheduling, manufacturing, VLSI design, statistical data analysis, and parallel and distributed computing. Secondly, a number of other well known c- binatorial optimization problems can be formulated as QAPs. Typical examples are the traveling salesman problem and a large number of optimization problems in graphs such as the maximum clique problem, the graph partitioning problem and the minimum feedback arc set problem. Finally, from a computational point of view the QAP is a very difficult problem. The QAP is not only NP-hard and - hard to approximate, but it is also practically intractable: it is generally considered as impossible to solve (to optimality) QAP instances of size larger than 20 within reasonable time limits.
Author: Stephen T. Buckland
Publisher:
Published: 1993
Total Pages: 472
ISBN-13:
DOWNLOAD EBOOKIntroductory concepts. Introduction. Range of applications. Types of data. Known constants and parameters. Assumptions. Fundamental concept. Detection. History of methods. Program DISTANCE. Assumptions and modelling philosophy. Assumptions. Fundamental models. Philosophy and strategy. Robust models. Some analysis guidelines. Statistical theory. General formula. Hazard-rate modelling of the detection process. The key function formulation for distance data. Maximum likelihood methods. Choice of model. Estimation for clustered populations. Density, variance and interval estimation. Stratification and covariates. Line transects. Introduction. Example data. Truncation. Extensions and related work. Other models. Modelling variation in encounter rate and cluster size. Estimation of the probability of detection on the line or pint. On the concept of detection search effort. Fixed versus random sample size. Efficient simulation of distance data. Thoughts about a full likelihood approach. Distance sampling in three dimensions. ...
Author: Henrik Bohr
Publisher: IOS Press
Published: 1994
Total Pages: 364
ISBN-13: 9784274022630
DOWNLOAD EBOOKAuthor: Xuhua Xia
Publisher: Springer Science & Business Media
Published: 2007-05-08
Total Pages: 284
ISBN-13: 030646893X
DOWNLOAD EBOOKData Analysis in Molecular Biology and Evolution introduces biologists to DAMBE, a proprietary, user-friendly computer program for molecular data analysis. The unique combination of this book and software will allow biologists not only to understand the rationale behind a variety of computational tools in molecular biology and evolution, but also to gain instant access to these tools for use in their laboratories. Data Analysis in Molecular Biology and Evolution serves as an excellent resource for advanced level undergraduates or graduates as well as for professionals working in the field.
Author: S. T. Buckland
Publisher: OUP Oxford
Published: 2004-08-19
Total Pages: 434
ISBN-13: 0191545198
DOWNLOAD EBOOKThis 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 sightings surveys, and a wide range of approaches to analysis of sightings data 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 populations, 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; survey design and automated design algorithms, allowing rapid generation of sound 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 that performance of the approach in varying circumstances can be assessed.
Author: Stephen Krawetz
Publisher: Springer Science & Business Media
Published: 2008-12-11
Total Pages: 623
ISBN-13: 1597454400
DOWNLOAD EBOOKBioinformatics for Systems Biology bridges and unifies many disciplines. It presents the life scientist, computational biologist, and mathematician with a common framework. Only by linking the groups together may the true life sciences revolution move forward.