Nonparametric Pairwise Multiple Comparisons in Independent Groups using Dunn's Test
نویسندگان
چکیده
منابع مشابه
Active Ranking using Pairwise Comparisons
This paper examines the problem of ranking a collection of objects using pairwise comparisons (rankings of two objects). In general, the ranking of n objects can be identified by standard sorting methods using n log2 n pairwise comparisons. We are interested in natural situations in which relationships among the objects may allow for ranking using far fewer pairwise comparisons. Specifically, w...
متن کاملNonparametric Predictive Inference for Multiple Comparisons
This thesis presents Nonparametric Predictive Inference (NPI) for several multiple comparisons problems. We introduce NPI for comparison of multiple groups of data including right-censored observations. Different right-censoring schemes discussed are early termination of an experiment, progressive censoring and competing risks. Several selection events of interest are considered including selec...
متن کاملNonparametric Predictive Multiple Comparisons of Lifetime Data
We consider lifetime experiments to compare units from different groups, where the units’ lifetimes may be right-censored. Nonparametric predictive inference for comparison of multiple groups is presented, in particular lower and upper probabilities for the event that a specific group will provide the largest next lifetime. We include the practically relevant consideration that the overall life...
متن کاملInconsistency indicator maps on groups for pairwise comparisons
This study presents an abelian group approach to analyzing inconsistency in pairwise comparisons. A notion of an inconsistency indicator map on a group, taking values in an abelian linearly ordered group, is introduced. For it, metrics and generalized metrics are utilized. Every inconsistency indicator map generates both a metric on a group and an inconsistency indicator of an arbitrary pairwis...
متن کاملNoise-Tolerant Interactive Learning Using Pairwise Comparisons
We study the problem of interactively learning a binary classifier using noisylabeling and pairwise comparison oracles, where the comparison oracle answerswhich one in the given two instances is more likely to be positive. Learning fromsuch oracles has multiple applications where obtaining direct labels is harder butpairwise comparisons are easier, and the algorithm can leverage...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: The Stata Journal: Promoting communications on statistics and Stata
سال: 2015
ISSN: 1536-867X,1536-8734
DOI: 10.1177/1536867x1501500117