A note on a one-sided Kolmogorov-Smirnov test of fit for discrete distribution functions

Coberly, W. A.; Lewis, T.

doi:10.1007/bf02479749

Cited by 10 publications

(4 citation statements)

References 6 publications

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“…Coberley and Lewis [1] also give recursion formulae to find the distribution of S+ and S-. He also gives a review of the use of the Kolmogorov-Smirnov statistics with discrete or discontinuous data.…”

Section: Discrete and Grouped Datamentioning

confidence: 99%

The Kolmogorov-Smirnov Goodness-of-Fit Statistic with Discrete and Grouped Data

Pettitt

Stephens

1977

Technometrics

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Section: Discrete and Grouped Datamentioning

confidence: 99%

The Kolmogorov-Smirnov Goodness-of-Fit Statistic with Discrete and Grouped Data

Pettitt

Stephens

1977

Technometrics

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“…Some computationally friendly representations of the distribution of the test statistics for sample sizes less than 100 and with no ties are proposed by Marsaglia et al (2003) and Birnbaum and Tingey (1951). When F 0 (x) is discrete, a modification for the computation of the quantiles of the test statistics might be applied (Conover, 1972;Coberly and Lewis, 1973).…”

Section: The Kolmogorov Goodness-of-fit Testmentioning

confidence: 99%

Nonparametric Hypothesis Testing

Bonnini¹,

Corain²,

Marozzi³

et al. 2014

Wiley Series in Probability and Statistics

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Designations used by companies to distinguish their products are often claimed as trademarks. All brand names and product names used in this book are trade names, service marks, trademarks or registered trademarks of their respective owners. The publisher is not associated with any product or vendor mentioned in this book.Limit of Liability/Disclaimer of Warranty: While the publisher and author have used their best efforts in preparing this book, they make no representations or warranties with respect to the accuracy or completeness of the contents of this book and specifically disclaim any implied warranties of merchantability or fitness for a particular purpose. It is sold on the understanding that the publisher is not engaged in rendering professional services and neither the publisher nor the author shall be liable for damages arising herefrom. If professional advice or other expert assistance is required, the services of a competent professional should be sought.

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“…If a particular female is much more productive than most males, the fraction of males with productivity less than hers will be close to 1. Because the sample size of 48 males is quite large, this is a robust statistical test (see references Epstein (1954), and Coberly and Lewis (1972)) We will call this probability an "upper-side" significance test probability and denote it by P female>males . We interpret this as a probability that tests the hypothesis that a particular variable for a female was randomly drawn from the corresponding reference distribution for the males.…”

Section: Researcher Productivitymentioning

confidence: 99%

A Case Study of Gender Bias at the Postdoctoral Level in Physics, and its Resulting Impact on the Academic Career Advancement of Females

Towers

2008

Preprint

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This case study of a typical U.S. particle physics experiment explores the issues of gender bias and how it affects the academic career advancement prospects of women in the field of physics beyond the postdoctoral level; we use public databases to study the career paths of the full cohort of 57 former postdoctoral researchers on the Run II Dzero experiment to examine if males and females were treated in a gender-blind fashion on the experiment.The study finds that the female researchers were on average significantly more productive compared to their male peers, yet were allocated only 1/3 the amount of conference presentations based on their productivity. The study also finds that the dramatic gender bias in allocation of conference presentations appeared to have significant negative impact on the academic career advancement of the females.The author has a PhD in particle physics and worked for six years as a postdoctoral research scientist, five of which were spent collaborating at Fermilab. She is currently completing a graduate degree in statistics.

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A note on a one-sided Kolmogorov-Smirnov test of fit for discrete distribution functions

Cited by 10 publications

References 6 publications

The Kolmogorov-Smirnov Goodness-of-Fit Statistic with Discrete and Grouped Data

The Kolmogorov-Smirnov Goodness-of-Fit Statistic with Discrete and Grouped Data

Nonparametric Hypothesis Testing

A Case Study of Gender Bias at the Postdoctoral Level in Physics, and its Resulting Impact on the Academic Career Advancement of Females

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