Neyman refers to Jerzy Neyman, a prominent statistician known for his contributions to statistical theory and methodology. He is best known for developing the Neyman-Pearson lemma, which provides a framework for hypothesis testing. This work laid the foundation for modern statistical inference and has been widely used in various fields, including psychology, medicine, and social sciences. In addition to the Neyman-Pearson lemma, Neyman also contributed to the concept of confidence intervals and the design of experiments. His work emphasized the importance of random sampling and the need for rigorous statistical methods, influencing how researchers collect and analyze data.