Results 231 to 240 of about 297,170 (241)

Medical Resource Allocation as a Function of Selected Patient Characteristics

Journal of Applied Social Psychology, 2006
This study assessed how changes in the characteristics of parental status, intelligence level, and mental health of hypothetical patients suffering from a kidney disease altered participants' decisions about allocating access to a life‐supporting artificial‐kidney machine.
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Logistic Methods for Resource Selection Functions and Presence-Only Species Distribution Models

Proceedings of the AAAI Conference on Artificial Intelligence, 2011
In order to better protect and conserve biodiversity, ecologists use machine learning and statistics to understand how species respond to their environment and to predict how they will respond to future climate change, habitat loss and other threats.
Steven Phillips, Jane Elith
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Estimating a resource selection probability function from a census of resource units using logistic regression

1993
One of the simplest ways of estimating a resource selection probability function involves taking a census of the used and unused units in a population of resource units, and estimating a logistic function for the probability of use as a function of variables that are measured on the units.
Bryan F. J. Manly, Lyman L. McDonaldd, Dana L. Thomas   +2 more
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Accounting for animal movement in estimation of resource selection functions: sampling and data analysis

Ecology, 2009
Patterns of resource selection by animal populations emerge as a result of the behavior of many individuals. Statistical models that describe these population‐level patterns of habitat use can miss important interactions between individual animals and characteristics of their local environment; however, identifying these interactions is difficult.
James D, Forester, Hae Kyung, Im, Paul J, Rathouz   +2 more
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Estimating resource selection functions from samples of resource units using proportional hazards and log-linear models

1993
In this chapter, three models for sample resource selection data are discussed, where the samples can be of available resource units, used resource units or unused resource units. The differences between these models are related to the sampling protocols A, B and C that have been defined in section 1.4, but an extra important factor is the proportion ...
Bryan F. J. Manly, Lyman L. McDonaldd, Dana L. Thomas   +2 more
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Resource selection functions: taking space seriously?

Trends in Ecology & Evolution, 1999
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Review for "Solving the sample size problem for resource selection functions"

2021
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Decision letter for "Solving the sample size problem for resource selection functions"

2021
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Resource Selection Functions from Logistic Regression

2006
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Author response for "Solving the sample size problem for resource selection functions"

2021
null Street, Garrett M., null Potts, Jonathan R., null Borger, Luca, null Beasley, James C., null Demarais, Stephen, null Fryxell, John M., null McLoughlin, Philip D., null Monteith, Kevin L., null Prokopenko, Christina M., null Ribeiro, Miltinho C., null Rodgers, Arthur R., null Strickland, Bronson K., null van Beest, Floris M., null Bernasconi, David A., null Beumer, Larissa T., null Dharmarajan, Guha, null Dwinnell, Samantha P., null Keiter, David A., null Keuroghlian, Alexine, null Newediuk, Levi J., null Oshima, Julia Emi F., null Rhodes, Olin, Jr., null Schlichting, Peter E., null Schmidt, Niels M., null Vander Wal, Eric   +24 more
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