U-CARE: Utilities for performing goodness of fit tests and manipulating CApture-REcapture data

被引:638
作者
Choquet, Remi [1 ]
Lebreton, Jean-Dominique [1 ]
Gimenez, Olivier [1 ]
Reboulet, Anne-Marie [1 ]
Pradel, Roger [1 ]
机构
[1] CNRS, Ctr Ecol Fonct & Evolut, UMR 5175, FR-34293 Montpellier 5, France
关键词
SNOW GEESE; SURVIVAL; RECRUITMENT; POPULATION; ANIMALS; MARK;
D O I
10.1111/j.1600-0587.2009.05968.x
中图分类号
X176 [生物多样性保护];
学科分类号
090705 ;
摘要
In any statistical analysis, assessing the goodness of fit of a model to the data is crucial to avoid drawing incorrect conclusions. U-CARE is a computer application that deals with the mandatory first steps of the analyses of capture-recapture data: the preparation of the data set and the assessment of the fit of a general model (Cormack-Jolly-Seber and variants for single-state data; Jolly-Move and variants for multi-state data). U-CARE implements the current state of the art in goodness-of-fit testing by incorporating components aimed at detecting the most likely departures from assumptions (Pradel et al. 2003, 2005). It is a free and stand-alone application for Windows.
引用
收藏
页码:1071 / 1074
页数:4
相关论文
共 20 条
  • [1] [Anonymous], 5175 CEFE UMR
  • [2] CAPTURE-RECAPTURE STUDIES FOR MULTIPLE STRATA INCLUDING NON-MARKOVIAN TRANSITIONS
    BROWNIE, C
    HINES, JE
    NICHOLS, JD
    POLLOCK, KH
    HESTBECK, JB
    [J]. BIOMETRICS, 1993, 49 (04) : 1173 - 1187
  • [3] Burnham K. P., 2002, Model selection and multimodel inference
  • [4] BURNHAM KP, 1991, S STAT I STAT SCI AC, P11
  • [5] Choquet R., 2004, Animal Biodiversity and Conservation, V27, P207
  • [6] Choquet R, 2009, ENVIRON ECOL STAT SE, V3, P845, DOI 10.1007/978-0-387-78151-8_39
  • [7] DAgostino R., 1986, GOODNESS OF FIT TECH
  • [8] Gauthier G, 2001, ECOLOGY, V82, P3105, DOI 10.1890/0012-9658(2001)082[3105:SSOGSG]2.0.CO
  • [9] 2
  • [10] Comparison of size vs. life-state classification demographic models for the terrestrial orchid Cleistes bifaria
    Gregg, KB
    Kéry, M
    [J]. BIOLOGICAL CONSERVATION, 2006, 129 (01) : 50 - 58