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2 results

Estimation of Stimulus-Response Curves by Bayesian Least Squares
H. D. Brunk
Journal:

Psychometrika / Volume 46 / Issue 2 / June 1981

Published online by Cambridge University Press:

01 January 2025, pp. 115-128
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Bayesian least squares techniques are adapted to estimation of stimulus-response curves, rather broadly conceived. Illustrative examples deal with estimation of person characteristic curves and item characteristic curves in the context of mental testing, and estimation of a stimulus-response curve using data from a psychophysical experiment.

Physical nearest-neighbour models and non-linear time-series. II Further discussion of approximate solutions and exact equations
M. S. Bartlett
Journal:

Journal of Applied Probability / Volume 9 / Issue 1 / March 1972

Published online by Cambridge University Press:

14 July 2016, pp. 76-86

Print publication:

March 1972
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The approximate two- and three-dimensional solutions for spatial correlations, using the non-linear time-series approach for nearest-neighbour systems developed in my previous paper, are further discussed.
Orthogonal expansions for the correlation functions are also developed which determine with this approach, though so far only in principle, the exact solutions.

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