P Diaconis - Lecture notes-monograph series, 1988 - JSTOR
This monograph is an expanded version of lecture notes I have used over the past eight years. I first taught this subject at Harvard's Department of Statistics 1981-82 when a version …
S Siegel - The American Statistician, 1957 - Taylor & Francis
In the development of modern techniques of statistical inference, the first tests to gain prominence and wide use were those which make a good many assumptions, and rather …
MA Fligner, JS Verducci - … of the Royal Statistical Society: Series …, 1986 - Wiley Online Library
SUMMARY A class of ranking models is proposed for which the probability of a ranking decreases with increasing distance from a modal ranking. Some special distances, namely …
This book grew out of a desire on the part of both authors to formally record in one volume some of their research on ranking methods. My own interest was sparked by a problem …
DE Critchlow, MA Fligner, JS Verducci - Journal of mathematical …, 1991 - Elsevier
This paper investigates many of the probability models on permutations that have been proposed in the statistical and psychological literature. The various models are categorized …
A full ranking of n items is simply an ordering of all these items, of the form: first choice, second choice,•.., n-th choice. If two judges each rank the same n items, statisticians have …
MA Fligner, JS Verducci - Journal of the American Statistical …, 1988 - Taylor & Francis
Suppose that a sample of people independently examines a fixed set of k items and then ranks these items according to personal judgment. The process of ranking the items is …
S Amodio, A D'Ambrosio, R Siciliano - European Journal of Operational …, 2016 - Elsevier
Preference rankings virtually appear in all fields of science (political sciences, behavioral sciences, machine learning, decision making and so on). The well-known social choice …
M Iannario, D Piccolo - Modern Analysis of Customer Surveys …, 2011 - Wiley Online Library
This chapter is devoted to a new class of statistical models, called CUB models, introduced for the purpose of interpreting and fitting ordinal responses. After a brief discussion of …