quantal response

quantal response

[′kwänt·əl ri‚späns]
(statistics)
Response to treatment which has only two outcomes, all or none.
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Using a quantal response equilibrium (QRE) model, which accounts for errors made by individual subjects, Anderson, Goeree, and Holt (1998) show that depending on the magnitude of the decision error, mean contributions to the VCM lie between the Nash prediction ([c.
This can be done using the quantal response framework of McKelvey and Palfrey (1995).
Although the BMD concept is best developed for quantal response data (i.
Chapter 2 is an overview of quantal response bioassays, which are bioassays that estimate the relationships between varied quantity or intensity of stimuli and responses to them.
Novices can learn to calculate doses, replicates, and numbers of insects in these chapters covering quantal response bioassays, binary quantal response with one or multiple explanatory variables, binary quantal response data analysis and response, natural variation in response, quarantine statistics, statistical analysis of data from bioassays with microbial products, pesticide resistance, mixtures, time as a variable, body weight and multinomial quantal response.
Quantal response equilibrium and overbidding in private value auctions.
This behavior is consistent with the predictions of a quantal response equilibrium (QRE).
Ratio estimates, the delta method, and quantal response tests for increased carcinogenicity.
14) Baye and Morgan (1999) have also pointed out that prices above the Bertrand prediction can be explained by a (power function) quantal response equilibrium.
We use the logit form of the quantal choice model first introduced by Luce (1959) and popularized more recently by McKelvey and Palfrey (1995) in a game-theoretic context as a quantal response equilibrium.
Some other explanations for this behavior have been developed, including McKelvy and Palfrey's (1992, 1998) development of the game-theoretic implications of stochastic decision making in the form of quantal response and Rabin's (1993) model that incorporates intentions.
He covers the measurement process, bioaccumulation, lethal and other quantal responses to stress, statistical tests for detecting chronic lethal and sub-lethal stress, population and metapopulation effects, and community effects.