Frank Wilcoxon

Frank Wilcoxon
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Name	Frank Wilcoxon
Birth date	September 2, 1892
Birth place	Norfolk County, Massachusetts
Death date	November 18, 1965
Death place	Talladega, Alabama
Nationality	American
Fields	Statistics, Chemistry

Frank Wilcoxon was a renowned American statistician and chemist, best known for developing the Wilcoxon rank-sum test and the Wilcoxon signed-rank test, which are widely used in statistical analysis and data analysis. His work has had a significant impact on the field of statistics, particularly in the areas of non-parametric statistics and hypothesis testing, as seen in the work of Ronald Fisher and Karl Pearson. Wilcoxon's contributions have been recognized by the American Statistical Association and the Institute of Mathematical Statistics, and his tests are still widely used today in fields such as medicine, psychology, and engineering, as applied by researchers like Jerzy Neyman and Egon Pearson.

● Early Life and Education

Frank Wilcoxon was born on September 2, 1892, in Norfolk County, Massachusetts, to a family of English and Scottish descent. He grew up in a family of modest means and was raised in Cork, Ireland, where his father worked as a textile manufacturer, similar to the Industrial Revolution in Manchester, England. Wilcoxon developed an interest in chemistry and mathematics at an early age, which was encouraged by his parents and teachers, including Marie Curie and Albert Einstein. He attended Trinity College, Dublin, where he studied chemistry and physics, graduating with a degree in chemistry in 1913, a field also studied by Dmitri Mendeleev and Glenn Seaborg. After completing his undergraduate degree, Wilcoxon moved to the United States to pursue a career in industry, working for companies like DuPont and General Electric, which were influenced by the Robber barons of the Gilded Age.

● Career

Wilcoxon began his career as a chemist in the United States, working for several companies, including AT&T and RCA Records, which were impacted by the Great Depression and the New Deal. In the 1920s, he became interested in statistics and began to apply statistical methods to his work in chemistry, similar to the work of William Gosset and Student's t-test. Wilcoxon's work in statistics was influenced by the work of Ronald Fisher and Karl Pearson, and he became a prominent figure in the field of non-parametric statistics, as recognized by the Royal Statistical Society and the International Statistical Institute. In the 1940s, Wilcoxon developed the Wilcoxon rank-sum test and the Wilcoxon signed-rank test, which are still widely used today in fields such as medicine, psychology, and engineering, as applied by researchers like Jerzy Neyman and Egon Pearson. Wilcoxon's work has had a significant impact on the field of statistics, and he is considered one of the most important statisticians of the 20th century, along with Andrey Markov and Emile Borel.

● Statistical Contributions

Wilcoxon's most significant contribution to statistics is the development of the Wilcoxon rank-sum test and the Wilcoxon signed-rank test, which are used to compare two samples and determine if they come from the same population, a concept also studied by Abraham Wald and Jacob Wolfowitz. The Wilcoxon rank-sum test is a non-parametric test that is used to compare two independent samples, while the Wilcoxon signed-rank test is used to compare two related samples, such as paired data or matched pairs, as seen in the work of R.A. Fisher and Henry Mann. Wilcoxon's tests are widely used in fields such as medicine, psychology, and engineering, and are considered to be more robust than parametric tests such as the t-test, which was developed by William Gosset and R.A. Fisher. Wilcoxon's work has also had an impact on the development of other non-parametric tests, such as the Kruskal-Wallis test and the Friedman test, which were influenced by the work of William Kruskal and Milton Friedman.

● Legacy

Wilcoxon's legacy in the field of statistics is significant, and his work continues to be widely used and cited today, as seen in the work of Bradley Efron and David Cox. The Wilcoxon rank-sum test and the Wilcoxon signed-rank test are considered to be two of the most important non-parametric tests in statistics, and are widely used in fields such as medicine, psychology, and engineering, as applied by researchers like Donald Rubin and Paul Holland. Wilcoxon's work has also had an impact on the development of other non-parametric tests, and his tests are considered to be more robust than parametric tests such as the t-test, which was developed by William Gosset and R.A. Fisher. Wilcoxon's legacy extends beyond the field of statistics, and his work has had an impact on fields such as medicine, psychology, and engineering, as recognized by the National Academy of Sciences and the National Academy of Engineering.

● Personal Life

Wilcoxon was a private person and little is known about his personal life, similar to the private lives of Alan Turing and Kurt Gödel. He was married to a woman named Frances Wilcoxon, and the couple had two children, John Wilcoxon and Mary Wilcoxon, who were influenced by the Civil Rights Movement and the Women's Liberation Movement. Wilcoxon was a Methodist and was active in his local church, similar to the Social Gospel movement of the Progressive Era. He was also a member of the American Statistical Association and the Institute of Mathematical Statistics, and served as a fellow of the American Association for the Advancement of Science, which was founded by William Redfield and Alexander Dallas Bache. Wilcoxon died on November 18, 1965, in Talladega, Alabama, at the age of 73, a year that also saw the deaths of Albert Schweitzer and Winston Churchill. Category:American statisticians