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The American Statistician Highlights: August Issue Spans Methodology, Applications

1 August 2018 No Comment

Daniel Jeske, The American Statistician Executive Editor

The August 2018 issue of The American Statistician features eight articles and two letters to the editor that span a wide range of interesting methodology and application areas. As usual, there is something for everyone in this issue.

The General section begins with an article about the construction of minimum volume confidence sets for the parameters of a shifted exponential distribution (also known as the two-parameter exponential distribution). A second article proposes a new test for detecting general forms of serial temporal dependence.

We have three articles in the Statistical Practice section. First, an article presents a structural equation modeling approach for analyzing a spatial regression model for situations in which there is spatial influence on both the response and covariate variables. The second article in this section presents a semiparametric Bayesian model for analyzing homerun production of Major League Baseball players. The final article details a random graph model for studying citation patterns within the causal inference literature.

We have one article in the Teacher’s Corner that focuses on a variety of thought-provoking insights on the Wilcoxon-Mann-Whitney test. In the Short Technical Note section, you will find a probabilistic proof of an interesting binomial coefficient identity. The Interdisciplinary section is represented by an in-depth analysis of if and how the proportion of gun-related suicides can estimate gun prevalence.

The issue concludes with two letters to the editor that provide comments about a recent article that investigated the use of interpolated nonparametric confidence intervals for population quantiles.

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