Accession Number : AD1024834


Title :   Quantal Response: Nonparametric Modeling


Descriptive Note : Technical Report,01 Oct 2013,31 Dec 2016


Corporate Author : ARMY RESEARCH LAB ABERDEEN PROVING GROUND MD ABERDEEN PROVING GROUND United States


Personal Author(s) : Collins, Joseph C


Full Text : https://apps.dtic.mil/dtic/tr/fulltext/u2/1024834.pdf


Report Date : 01 Jan 2017


Pagination or Media Count : 70


Abstract : Binary response to a continuous stimulus was originally modeled as a cumulative distribution of limit quantities interpreted as an increasing functional relationship between stimulus and probability of response. The Generalized Linear Model approach does not make use of the limit distribution but allows arbitrary functional relationships including both classical higher-orderpolynomials and also nonparametric spline models based on penalized maximum likelihood estimation.


Descriptors :   numerical analysis , polynomials , distribution functions , interpolation , mathematical models , smoothing (mathematics)


Subject Categories : Statistics and Probability
      Operations Research
      Theoretical Mathematics


Distribution Statement : APPROVED FOR PUBLIC RELEASE