• Skip to main content
  • Skip to secondary menu
  • Skip to primary sidebar
  • Skip to footer
  • Homepage
  • About Us
  • Advertising
  • Submission Instructions
  • Editorial Calendar
Amstat News

Amstat News

The Membership Magazine of the American Statistical Association

  • Printed Issues
  • Practical Significance Podcast
  • Additional Features
  • Columns
  • Member News
  • Departments
You are here: Home / Additional Features / Previous Features / The American Statistician Highlights: August Issue Spans Methodology, Applications

The American Statistician Highlights: August Issue Spans Methodology, Applications

August 1, 2018 Leave a 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.

Filed Under: Previous Features, The American Statistician Highlights Tagged With: application, interdisciplinary, methodology, Wilcoxon-Mann-Whitney test

Reader Interactions

Leave a Reply Cancel reply

Your email address will not be published. Required fields are marked *

Primary Sidebar

Search

More to See

2024–2025 Degree Data: Awarding of Statistics, Biostatistics Degrees Steady Amid Staggering Growth for Data Science, Analytics Degrees 

October 1, 2026 By Olivia Brown

Member Showcase: Robert Oster on the Power of Collaboration, Leadership, and Giving Back

October 1, 2026 By Olivia Brown

Who’s Missing from the Data? The Case for Disability Inclusion 

October 1, 2026 By Olivia Brown

Meet New Member Naren Prakash: Aspiring Statistician with a Love for Statistical Research 

October 1, 2026 By Olivia Brown

Data Science Certification

ASA HOME

American Statistical Association

Communications from the Executive Director

ASA Leader Hub

ASA Career Connect

STAFF LIST

Kim Gilliam
Naomi Friedman
Amanda Malloy

Archives

Categories

Footer

Editorial Staff

Managing Editor
Megan Murphy

Graphic Designers / Production Coordinators
Olivia Brown
Meg Ruyle

Communications Strategist
Val Nirala

Advertising Manager
Christina Bonner

Contributing Staff Members
Kim Gilliam

American Statistical Association
277 South Washington Street, Suite 370
Alexandria, VA 22314-3646
Phone: (703) 302-1857

 

Copyright © 2026 · Magazine Pro on Genesis Framework · WordPress · Log in