Wang Chueh-Ming 汪厥明 (1897~1978)

Wang Chueh-Ming was a distinguished agronomist, plant breeder, and the widely recognized founder of biostatistics in Taiwan. His tireless dedication to institutionalizing statistical education and his development of field experimentation techniques fundamentally transformed agricultural research in the region.

Academic Resilience and Wartime Research

Wang's academic journey was defined by profound resilience. After earning his Master's degree in Agriculture from Tokyo Imperial University in 1924, he held prominent teaching roles in Beijing. During the Second Sino-Japanese War, despite being displaced by conflict and living in extreme poverty in the mountains of Guangxi, Wang remained committed to his scholarly pursuits. With the help of his students, who transported his research data into the wilderness, he managed to complete the original manuscript for his seminal work, Moments, New Moments, Product Moments and Their Interrelations.

Building a Statistical Legacy in Taiwan

In 1946, Wang moved to Taiwan to join National Taiwan University (NTU), where he served as a professor and head of the Department of Agronomy. To honor his contributions, prominent scholars initiated a fundraising campaign that led to the establishment of the Chueh-Ming Biostatistics Research Laboratory in 1947, which was later elevated to the Chueh-Ming Institute of Biostatistics. Wang's work established the foundation for modern inferential statistics in Taiwan, and his influence was formally recognized through the Ministry of Education's Academic Award in 1955 and his election as an Academician of Academia Sinica in 1963.

Theoretical Contributions to Agricultural Statistics

Wang was a prolific author with over 50 major works, most notably Theory of Field Experiment Errors and Their Estimation, which provided the theoretical basis for agricultural experimental techniques and error estimation. His other core contributions—such as Estimating Methods of Error Degrees of Freedom and Premises and Significance Testing of Variance Component Analysis—remain essential texts for understanding the development of modern statistics. His life's work serves as a testament to the power of integrating rigorous theoretical frameworks with practical agricultural applications.