Point estimation in quantal response models | Zendy

Schumacher M. | Zendy

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Point estimation in quantal response models

Author(s) -

Schumacher M.

Publication year - 1980

Publication title -

biometrical journal

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 1.108

H-Index - 63

eISSN - 1521-4036

pISSN - 0323-3847

DOI - 10.1002/bimj.4710220405

Subject(s) - estimator , mathematics , maximum likelihood , convergence (economics) , least squares function approximation , iterative method , statistics , estimation theory , maximum likelihood sequence estimation , m estimator , generalized least squares , mathematical optimization , economics , economic growth

In this article least‐squares‐ and maximum‐likelihood‐estimators in quantal response models are presented in a standardized terminology. The large sample properties are derived and the convergence properties of the Newton‐Raphson‐ and the Scoring‐method for the iterative solution of the likelihood equations are investigated. Finally, it is shown that the iterative least‐squares estimation methods are equivalent to the method of scoring.

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