Record Search Query: [ISO_Topic_Category='BIOTA']
LOLASURVIV - Unknown-Sex SURVIVal Analysis
Entry ID: USGS_LOLASURVIV
Abstract: Program LOLASURVIV (Unknown-sex SURVIVal analysis) computes "open-model"
parameter estimates of survival and capture probabilities. Actually,
LOLASURVIV is a specially modified version of SURVIV written by Dr. G.
White. With this program and it's companion program, CNVLOLA, users are
able to get parameter estimates for these complex models from
... capture-history data without having to specify the cell probabilities.
LOLASURVIV is intended to be used in a situation where the sex of a
captured animal is not known at each capture occasion.
Output from LOLASURVIV includes survival probability estimates, capture
probability estimates, goodness-of-fit tests, and likelihood-ratio tests.
The data-conversion program CNVLOLA, will allow the user to generate
models with time-constant or time-specific survival and capture
probabilities, as well as sex-proportion estimtes. If necessary, users may
examine these models to generate statements for their own models.
The experimental situation to which this program applies is one in which
animals are initially marked with a unique tag, and released. This process
is repeated for each of the sampling periods. Information used to assign
the animal to the proper stratum (eg. sex, weight, age, capture location,
...) is recorded for each capture of each animal. Using these data, the
capture-history of each animal is generated consisting of codes indicating
the status of the animal at each capture period. For example, if a male
animal was captured in time 1 and the biologist was able to determine the
sex at that time, but was not able to determine sex on the next capture at
time 4, the capture history would be: "M00U".
Input to LOLASURVIV consists of statements which define the capture data
and statements defining the selected model structure. The format of the
input file is similar to the input for program MARK. Statements which set
parameters equal to other parameters define model structure.
[Summary provided by the U.S. Geological Survey.]
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