Techniques of Population Analysis
Author : George W. Barclay
Publisher : Macmillan College
Page : 31 pages
File Size : 37,98 MB
Release : 1958-01-01
Category :
ISBN : 9780023059001
Author : George W. Barclay
Publisher : Macmillan College
Page : 31 pages
File Size : 37,98 MB
Release : 1958-01-01
Category :
ISBN : 9780023059001
Author : Marc Kéry
Publisher : Academic Press
Page : 556 pages
File Size : 49,89 MB
Release : 2012
Category : Computers
ISBN : 0123870208
Bayesian statistics has exploded into biology and its sub-disciplines, such as ecology, over the past decade. The free software program WinBUGS, and its open-source sister OpenBugs, is currently the only flexible and general-purpose program available with which the average ecologist can conduct standard and non-standard Bayesian statistics. Comprehensive and richly commented examples illustrate a wide range of models that are most relevant to the research of a modern population ecologist All WinBUGS/OpenBUGS analyses are completely integrated in software R Includes complete documentation of all R and WinBUGS code required to conduct analyses and shows all the necessary steps from having the data in a text file out of Excel to interpreting and processing the output from WinBUGS in R
Author : Steven R. Beissinger
Publisher : University of Chicago Press
Page : 594 pages
File Size : 42,81 MB
Release : 2002-05-04
Category : Nature
ISBN : 0226041786
Many of the world's leading conservation and population biologists evaluate what has become a key tool in estimating extinction risk and evaluating potential recovery strategies - population viability analysis, or PVA.
Author : Ruth King
Publisher : CRC Press
Page : 457 pages
File Size : 11,95 MB
Release : 2009-10-30
Category : Mathematics
ISBN : 1439811881
Emphasizing model choice and model averaging, this book presents up-to-date Bayesian methods for analyzing complex ecological data. It provides a basic introduction to Bayesian methods that assumes no prior knowledge. The book includes detailed descriptions of methods that deal with covariate data and covers techniques at the forefront of research, such as model discrimination and model averaging. Leaders in the statistical ecology field, the authors apply the theory to a wide range of actual case studies and illustrate the methods using WinBUGS and R. The computer programs and full details of the data sets are available on the book's website.
Author : S.S. Halli
Publisher : Springer Science & Business Media
Page : 258 pages
File Size : 35,19 MB
Release : 1992-03-31
Category : Business & Economics
ISBN : 9780306439971
Utilizing the most recent developments in statistical modeling as applied to population studies, the authors interpret results obtained from available software and apply these results to current research issues.
Author : S. Anita
Publisher : Springer Science & Business Media
Page : 220 pages
File Size : 16,82 MB
Release : 2000-10-31
Category : Mathematics
ISBN : 9780792366393
This volume is devoted to some of the most biologically significant control problems governed by continuous age-dependent population dynamics. It investigates the existence, uniqueness, positivity, and asymptotic behaviour of the solutions of the continuous age-structured models. Some comparison results are also established. In the optimal control problems the emphasis is on first order necessary conditions of optimality. These conditions allow the determination of the optimal control or the approximation of the optimal control problem. The exact controllability for some models with diffusion and internal control is also studied. These subjects are treated using new concepts and techniques of modern optimal control theory, such as Clarke's generalized gradient, Ekeland's variational principle, Hamilton-Jacobi equations, and Carleman estimates. A background in advanced calculus and partial differential equations is required. Audience: This work will be of interest to students in mathematics, biology, and engineering, and researchers in applied mathematics, control theory, and biology.
Author : Stanley K. Smith
Publisher : Springer Science & Business Media
Page : 433 pages
File Size : 21,29 MB
Release : 2005-12-21
Category : Social Science
ISBN : 0306473720
The initial plans for this book sprang from a late-afternoon conversation in a hotel bar. All three authors were attending the 1996 meeting of the Population As- ciation of America in New Orleans. While nursing drinks and expounding on a variety of topics, we began talking about our current research projects. It so happened that all three of us had been entertaining the notion of writing a book on state and local population projections. Recognizing the enormity of the project for a single author, we quickly decided to collaborate. Had we not decided to work together, it is unlikely that this book ever would have been written. The last comprehensive treatment of state and local population projections was Don Pittenger’s excellent work Projecting State and Local Populations (1976). Many changes affecting the production of population projections have occurred since that time. Technological changes have led to vast increases in computing power, new data sources, the development of GIS, and the creation of the Internet. The procedures for applying a number of projection methods have changed considerably, and several completely new methods have been developed.
Author : William F. Morris
Publisher : Sinauer Associates Incorporated
Page : 480 pages
File Size : 19,75 MB
Release : 2002-01-01
Category : Science
ISBN : 9780878935468
The goal of this book is to provide practical, intelligible, and intuitive explanations of population modelling to empirical ecologists and conservation biologists. Modelling methods that do not require large amounts of data (typically unavailable for endangered species) are emphasised. As such, the book is appropriate for undergraduate and graduate students interested in quantitative conservation biology, managers charged with preserving endangered species, and, in short, for any conservation biologist or ecologist seeking to better understand the analysis and modelling of population data.
Author : Byron K. Williams
Publisher : Academic Press
Page : 837 pages
File Size : 10,94 MB
Release : 2002-04-17
Category : Juvenile Nonfiction
ISBN : 0127544062
Analysis and Management of Animal Populations deals with the processes involved in making informed decisions about the management of animal populations. It covers the modeling of population responses to management actions, the estimation of quantities needed in the modeling effort, and the application of these estimates and models to the development of sound management decisions. The book synthesizes and integrates in a single volume the methods associated with these themes, as they apply to ecological assessment and conservation of animal populations. Integrates population modeling, parameter estimation and decision-theoretic approaches to management in a single, cohesive framework Provides authoritative, state-of-the-art descriptions of quantitative approaches to modeling, estimation and decision-making Emphasizes the role of mathematical modeling in the conduct of science and management Utilizes a unifying biological context, consistent mathematical notation, and numerous biological examples
Author : Joel S. Owen
Publisher : John Wiley & Sons
Page : 0 pages
File Size : 12,15 MB
Release : 2014-07-08
Category : Medical
ISBN : 9780470582299
This book provides a user-friendly, hands-on introduction to the Nonlinear Mixed Effects Modeling (NONMEM) system, the most powerful tool for pharmacokinetic / pharmacodynamic analysis. • Introduces requisite background to using Nonlinear Mixed Effects Modeling (NONMEM), covering data requirements, model building and evaluation, and quality control aspects • Provides examples of nonlinear modeling concepts and estimation basics with discussion on the model building process and applications of empirical Bayesian estimates in the drug development environment • Includes detailed chapters on data set structure, developing control streams for modeling and simulation, model applications, interpretation of NONMEM output and results, and quality control • Has datasets, programming code, and practice exercises with solutions, available on a supplementary website