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LEADER 00000cam a2200433 a 4500 
001    000023672395 
003    AuCNLKIN 
005    20110817163452.0 
008    020617s2002    caua          001 0 eng d 
010    2001094375 
015    GBA3-11319 
019 1  23672395 
020    0127544062|q(alk. paper) 
035    (OCoLC)49666129 
035    .b29006478 
040    AUC|beng|cAUC 
042    pcc 
050 00 QL752|b.W526 2002 
082 0  799.2 
082 04 591.788|221 
100 1  Williams, Byron K.|0http://id.loc.gov/authorities/names/
       n86820478 
245 10 Analysis and management of animal populations :|bmodeling,
       estimation, and decision making /|cByron K. Williams, 
       James D. Nichols, Michael J. Conroy. 
264  1 San Diego ; Sydney :|bAcademic Press,|c2002. 
300    xvii, 817 pages :|billustrations ;|c29 cm 
336    text|btxt|2rdacontent 
337    unmediated|bn|2rdamedia 
338    volume|bnc|2rdacarrier 
504    Includes bibliographical references and index. 
505 00 Machine derived contents note: Table of contents for 
       Analysis and management of animal populations : modeling, 
       estimation, and decision making / Byron K. Williams, James
       D. Nichols, Michael J. Conroy. -- Bibliographic record and
       links to related information available from the Library of
       Congress catalog -- Information from electronic data 
       provided by the publisher. May be incomplete or contain 
       other coding. -- Preface. -- Part I: Framework for 
       Modeling, Estimation, and Management of Animal Populations
       -- Introduction to Population Ecology. -- Scientific 
       Process in Animal Ecology. -- Models and the Investigation
       of Populations. -- Estimation and Hypothesis Testing in 
       Animal Ecology. -- Survey Sampling and the Estimation of 
       Population Parameters. -- Design of Experiments in Animal 
       Ecology. -- Part II: Dynamic Modeling of Animal 
       Populations -- Principles of Model Development and 
       Assessment. -- Traditional Models of Population Dynamics. 
       -- Model Identification with Time Series Data. -- 
       Stochastic Processes in Population Models. -- The Use of 
       Models in Conservation and Management. -- Part III: 
       Estimation Methods for Animal Populations -- Estimating 
       Abundance Based on Counts. -- Estimating Abundance with 
       Distance-Based Methods. -- Estimating Abundance for Closed
       Populations with Capture-Recapture Methods. -- Estimation 
       of Demographic Parameters. -- Estimation of Survival Rates
       with Band Recoveries. -- Estimating Survival, Movement, 
       and Other State Transitions with Mark-Recapture Methods. -
       - Estimating Abundance and Recruitment for Open 
       Populations with Mark-Recapture Methods. -- Combining 
       Closed and Open Mark-Recapture Models: The Robust Design. 
       -- Estimation of Community Parameters. -- Part IV: 
       Decision Analysis for Animal Populations -- Optimal 
       Decision Making in Population Biology. -- Traditional 
       Approaches to Optimal Decision Analysis. -- Modern 
       Approaches to Optimal Decision Analysis. -- Uncertainty, 
       Learning, and Decision Analysis. -- Case Study: Management
       of the Sport Harvest of North American Waterfowl. -- 
       Appendix A: Conditional Probability and Bayes' Theorem. --
       Appendix B: Matrix Algebra. -- Appendix C: Differential 
       Equations. -- Appendix D: Difference Equations. -- 
       Appendix E: Some Probability Distributions and Their 
       Properties. -- Appendix F: Methods for Estimating 
       Statistical Variation. -- Appendix G: Computer Software 
       for Population and Community Estimation. -- Appendix H: 
       The Mathematics of Optimization -- References. -- Index. -
       - Library of Congress subject headings for this 
       publication: Animal populations Mathematical models, 
       Animal populations Statistical methods, Wildlife 
       management. 
520    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. Key 
       Features* 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 
650  0 Animal populations|0http://id.loc.gov/authorities/subjects
       /sh85005222|xStatistical methods.|0http://id.loc.gov/
       authorities/subjects/sh2001008679 
650  0 Animal populations.|0http://id.loc.gov/authorities/
       subjects/sh85005222 
700 1  Conroy, Michael J.|q(Michael James),|d1952-|0http://
       id.loc.gov/authorities/names/n87119067 
700 1  Nichols, James D.|0http://id.loc.gov/authorities/names/
       n82154694 
907    .b29006478 
984    VU|cheld 
990    MARCIVE MELB 201906 
Location Call No. Status
 UniM Cres  591.788 WILL    MISSING
 UniM BioMed  591.788 WILL    DUE 16-12-19