Nonparametric tests for strictly increasing virtual valuations

Rui Fang, Xiaohu Li

Research output: Contribution to journalArticle

1 Citation (Scopus)

Abstract

This paper shows that for absolutely continuous valuation distributions the increasing virtual valuations is equivalent to the increasing odds rate. Based on this new characterization we develop two nonparametric tests for the strictly increasing virtual valuations by using the generalized total time on test transform. The empirical type I error rate and power performance of the two tests are examined through Monte Carlo simulations. As illustrations the two tests are also applied to two real data sets collected from eBay.

Original languageEnglish (US)
Pages (from-to)1122-1136
Number of pages15
JournalJournal of Applied Statistics
Volume44
Issue number6
DOIs
StatePublished - Apr 26 2017

Fingerprint

Non-parametric test
Valuation
Strictly
Total Time on Test
Odds
Type I Error Rate
Absolutely Continuous
Monte Carlo Simulation
Transform
Nonparametric test

All Science Journal Classification (ASJC) codes

  • Statistics and Probability
  • Statistics, Probability and Uncertainty

Cite this

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Nonparametric tests for strictly increasing virtual valuations. / Fang, Rui; Li, Xiaohu.

In: Journal of Applied Statistics, Vol. 44, No. 6, 26.04.2017, p. 1122-1136.

Research output: Contribution to journalArticle

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