Samuel Kotz is a prominent statistician known for his contributions to the field of statistics, particularly in the areas of probability distributions, statistical theory, and statistical methodology. He has authored or co-authored numerous research papers and books, often focusing on topics such as nonparametric statistics and statistical distributions. Kotz is also recognized for his work in developing and characterizing various probability distributions.

Jon A. Wellner is a prominent statistician and professor known for his contributions to the field of statistics, particularly in the areas of statistical theory, semiparametric models, and nonparametric methods. He has been affiliated with the University of Washington, where he has taught and conducted research. Wellner has published numerous papers in leading statistical journals and has been involved in various statistical associations, contributing significantly to the advancement of statistical knowledge and education.

Lawrence D. Brown is a prominent statistician and researcher known for his contributions to various areas of statistics, including statistical theory, estimation, and decision theory. He has authored numerous papers and books in the field and has held faculty positions at institutions such as the University of Pennsylvania. If you're asking about a specific context or achievement related to Lawrence D.

The Meyer-Dwass test is a statistical method used for comparing multiple groups to determine if there are differences in their distributions. It is a non-parametric test, making it useful when the assumptions of parametric tests (like ANOVA) are not met — such as when the data does not follow a normal distribution. The Meyer-Dwass test is often used in scenarios where researchers want to assess whether different groups have different medians or distributions but without the constraints of normality.

Stephen Fienberg was a prominent statistician and professor known for his significant contributions to statistical methodology and its application in various fields, including social science, public policy, and health. He was a professor at Carnegie Mellon University and was particularly noted for his work on statistical models, survey methodology, and the analysis of categorical data. Fienberg was also involved in discussions around ethical issues in statistics and data privacy.

Yoav Benjamini is an Israeli statistician known for his contributions to the fields of statistics and data analysis, particularly in the areas of multiple testing and statistical inference. He has co-authored influential papers and has developed methods that are widely used in various applications, including biomedical research. One of his notable contributions is the Benjamini-Hochberg procedure, which is a method for controlling the false discovery rate in multiple hypothesis testing.

Augusta H. Teller is a mathematician known for her work in mathematics education and her contributions to the field. She may not be widely recognized in broader contexts compared to some other mathematicians, but her work has been impactful within specific educational circles.

Babette Brumback is an American statistician known for her contributions to the fields of biostatistics and epidemiology. She has worked on various statistical methodologies and applications, particularly in analyzing health data and designing studies.

Catherine Hill is a prominent epidemiologist known for her research in cancer epidemiology, particularly in the areas of breast cancer and women's health. She has contributed significantly to the understanding of risk factors associated with various cancers and has been involved in large-scale epidemiological studies. Her work often focuses on the interplay between lifestyle, genetics, and environmental factors in cancer development.

Charles Roy Henderson is an American statistician known for his contributions to the field, particularly in the area of mixed models and statistical methods in agriculture. He is best known for developing the Henderson model, which is important in the genetic evaluation of livestock. His work has had a significant impact on the fields of animal breeding and genetics, particularly in the statistical methodologies used to analyze and interpret data related to these areas.

L. Adrienne Cupples is a prominent researcher and professor known for her work in the field of public health, specifically focusing on epidemiology and biostatistics. She has made significant contributions to the understanding of chronic diseases, epidemiological methods, and health disparities. Cupples has also been involved in various academic and community-based research initiatives. If you meant something else related to L.

Martin Kulldorff is a biostatistician and professor known for his work in statistical methods for public health, including the statistical modeling of infectious diseases and the development of methods for disease surveillance. He has been a prominent figure in discussions around the COVID-19 pandemic, particularly in relation to alternative approaches to managing the outbreak, such as focused protection strategies. Kulldorff has also contributed to the field of epidemiology and has been involved in research on vaccine safety and other public health issues.

Michael D. Escobar is a prominent figure in the field of statistics and data science, particularly known for his contributions to statistical methodology and applications in various areas. Additionally, he may also refer to specific individuals in different contexts, such as academia, industry, or other professional domains.

Nathan Mantel is a statistician known for his contributions to biostatistics and epidemiology, particularly in the development of statistical methodologies. He is widely recognized for the Mantel-Haenszel method, which is commonly used for stratified analysis in epidemiological studies. This method helps to control for confounding variables when assessing the association between an exposure and an outcome across different strata or groups.