作者: Yoshio Takane , Justine Sergent
DOI: 10.1007/BF02293683
关键词: Minkowski space 、 Representation (mathematics) 、 Fortran 、 Maximum likelihood sequence estimation 、 Linear model 、 Algorithm 、 Parametric statistics 、 Statistics 、 Set (abstract data type) 、 Mathematics 、 Multidimensional scaling
摘要: A method for joint analysis of reaction times and same-different judgments is discussed. set stimuli assumed to have some parametric representation which uniquely defines dissimilarities between the stimuli. Those are then related observed through a model psychological processes. Three models considered, Minkowski power distance model, linear Tversky's feature matching model. Maximum likelihood estimation procedures developed implemented in form FORTRAN program. An example given illustrate kind analyses that can be performed by proposed method.