In 2001, the journal Survey Methodology established an annual invited paper series in honor of Joseph Waksberg to recognize his contributions to survey statistics and methodology. Each year, a prominent survey statistician is chosen to write a paper that reviews the development and current state of an important topic in survey statistics and methodology and reflects the mixture of theory and practice that characterized Waksberg’s work.
survey sampling
Statistics Without Borders: Professionals Using Statistics and Data for Social Good
Statistics Without Borders helps others avoid critical statistical mistakes. In just about every case, organizations want to use the best statistical practices. But many organizations may not have the time, expertise, or financial resources to cut through the noise and understand how to best proceed. This is where Statistics Without Borders helps.
Irene Hess
In 1940, Irene Hesse came to work with Leslie Kish at the Survey Research Center. Under Kish, she trained many graduate students in the details of sampling.
Darrell Philpot
Darrell Philpot traversed a long career in the pharmaceutical industry, engaging in market research, forecasting, survey sampling, and promotion modeling before becoming senior director of data science and advanced analytics at IQVIA. Over the course of his career, Philpot has felt lucky to have been mentored by his college professor, Kermit Hutcheson, as well as Ken Copland and Paul Wilson.
Sharon Lohr Shares Unique Path to Writing About Crime
Sharon Lohr first encountered statistics during her senior year and credits her undergraduate adviser, Thomas Jager, for steering her toward it in graduate school. In 2014, she became the first woman to give the Deming Lecture. Today, she is a freelance statistical consultant and writer, following a 25-year career in academia.
Leslie Kish
Ivan Fellegi reflects on the extraordinary life and accomplishments of Leslie Kish, “a force of nature,” philosopher of all things statistical, and so much more.
September JASA Addresses Topics in Text Analysis and Machine Learning
The September issue of the Journal of the American Statistical Association covers application topics ranging from models for text analysis to imaging genetics. Theory and Methods contributions include new statistical methods for longitudinal data, transformation models, mixture models, partial differential equation models, machine learning, and much more.