SENSORY THRESHOLDS: CONCEPTS AND METHODS

A sensory threshold can be defined generally as a stimulus intensity that produces a response in half of the trials. The definition of the population threshold is discussed. Five main classical statistical procedures for estimating thresholds are reviewed. They are the probit, the logistic, the Spearman-Karber, the moving average and the up-and-down procedures. Some new developments in statistical methods for estimating thresholds are outlined. The newly developed methods include the generalized probit and logistic models, the model based on the Beta-Binomial distribution, the trimmed Spearman-Karber method, the kernel method and the sigmoidally constrained maximum likelihood estimation method. The authors propose a new procedure based on the Beta-Binomial distribution for estimating population threshold.

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