Literature DB >> 953129

Science, statistics, and paired comparisons.

R A Bradley.   

Abstract

A prologue on science and statistics focuses attention on the role of statistics in science. Statisticians must be trained as scientists and to meet the needs of science. Those needs surely involve the formulation, modification and verification of stochastic models designed to represent natural phenomena. The method of paired comparisons provides a simple experimental technique but one with a literature rich in model development.

Mesh:

Year:  1976        PMID: 953129

Source DB:  PubMed          Journal:  Biometrics        ISSN: 0006-341X            Impact factor:   2.571


  5 in total

1.  Generalization and similarity in exemplar models of categorization: insights from machine learning.

Authors:  Frank Jäkel; Bernhard Schölkopf; Felix A Wichmann
Journal:  Psychon Bull Rev       Date:  2008-04

2.  A Law of Comparative Preference: Distinctions Between Models of Personal Preference and Impersonal Judgment in Pair Comparison Designs.

Authors:  David Andrich; Guanzhong Luo
Journal:  Appl Psychol Meas       Date:  2017-11-02

3.  Remarkable properties for diagnostics and inference of ranking data modelling.

Authors:  Cristina Mollica; Luca Tardella
Journal:  Br J Math Stat Psychol       Date:  2022-02-07       Impact factor: 2.410

4.  When there is too much to do: how practicing physicians prioritize among recommended interventions.

Authors:  Timothy P Hofer; Judith K Zemencuk; Rodney A Hayward
Journal:  J Gen Intern Med       Date:  2004-06       Impact factor: 5.128

5.  A network-based dynamical ranking system for competitive sports.

Authors:  Shun Motegi; Naoki Masuda
Journal:  Sci Rep       Date:  2012-12-05       Impact factor: 4.379

  5 in total

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