2020
DOI: 10.1201/9781315110479
|View full text |Cite
|
Sign up to set email alerts
|

Nonparametric Statistical Inference

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1
1
1

Citation Types

0
160
0
13

Year Published

2021
2021
2023
2023

Publication Types

Select...
7
2

Relationship

0
9

Authors

Journals

citations
Cited by 170 publications
(173 citation statements)
references
References 0 publications
0
160
0
13
Order By: Relevance
“…To determine whether newspaper conventionality, size and ownership affect content, statistical randomization tests were executed for the various groupings of newspaper stories. Appropriate in cases with small population sizes, the use of this non-parametric test avoids the errors arising from assumptions of a normal distribution for a population size of eight (Siegal, 1956;Gibbons, 1971). Randomization tests calculate the possibility of a particular population grouping occurring due to chance, and Siegel (1956:152-156) provides a full description of how this test is executed.…”
Section: Results -Hypotheses Concerning Newspaper Characteristicsmentioning
confidence: 99%
“…To determine whether newspaper conventionality, size and ownership affect content, statistical randomization tests were executed for the various groupings of newspaper stories. Appropriate in cases with small population sizes, the use of this non-parametric test avoids the errors arising from assumptions of a normal distribution for a population size of eight (Siegal, 1956;Gibbons, 1971). Randomization tests calculate the possibility of a particular population grouping occurring due to chance, and Siegel (1956:152-156) provides a full description of how this test is executed.…”
Section: Results -Hypotheses Concerning Newspaper Characteristicsmentioning
confidence: 99%
“…for the population value of the Spearman correlation. Defining the population value of the Spearman coefficient is controversial [11]; we followed Newton and Rudel [12] and defined the true value, ρ s , to be the mean of the r s values calculated from the Monte Carlo samples prior to applying the censoring schemes.…”
Section: Methodsmentioning
confidence: 99%
“…Error bars indicate the median and 95% CrI, respectively. The asterisk indicates the rejection of equal medians for the third wave versus the fourth wave at the 5% significance level using the two-sided Wilcoxon rank sum test 18 . The counterfactual scenario assuming a 5% increase in the proportion of population avoiding social gathering per day (blue curve and shaded region) suggests that mitigating pandemic fatigue can substantially reduce the number of new cases after the peak of the fourth wave at around the end of November 2020, which would avert 34% (95% CrI: -23%, 84%) of confirmed cases compared to that of standard model.…”
Section: Competing Interestsmentioning
confidence: 99%
“…The real-time metric of behaviour changes can be refined by the Google mobility index, which provides a measurement of epidemiological transmission rate and links to the transmission rate to track the local cases reported. The observed pandemic fatigue reveals that compliance with public health advice declines when dire circumstances drag on, especially when new virus variants are reported worldwide, associated with increased transmissibility [15][16][17] , and might be spreading without detection in countries with limited virus sequencing capacity 18 .…”
mentioning
confidence: 99%