Raj Chandra Bose Biography 
Raj Chandra Bose was a mathematician and statistician from Kolkata most known for Design theory and the theory of error-correcting codes. The class of BCH codes is partly named after him. He has also made notable contributions aside S. S. Shrikhande and E. T. Parker. R. C. Bose has authored a few books based on mathematics and statistics, most notably with Samarendra Nath Roy and P. C. Mahalanobis while at Indian Statistical Institute.
He was born in 1901 in Kolkata and his childhood was spent at Rohtak. He had four siblings. His father, Protap Chandra Bose was a doctor serving in British army. Later he became a doctor in the town of Rohtak. His father’s first wife without any children and later his father married Ushangini Mitra from Hoshangabad. Raj had a happy childhood till he lost both his parents during his teens. He finished first in Master’s in mathematics from University of Kolkata, despite facing such personal problems. After his research work at Kolkata, he joined Asutosh College as a lecturer and started publishing his works on the differential geometry of convex curves.
In 1932, P. C. Mahalanobis, director of Indian Statistical Institute, offered Bose a part-time job and it proved to be the turning point of his career. He was asked to work all Saturdays full-time throughout the year. He started reading papers given to him by Mahalanobis. In 1935, he got full-time job in the same institute. He made friendship with Samarendra Nath Roy, who too was at the institute. After that he has published many research papers singly and in association with other mathematicians. On the exact distribution and moment-coefficients of the D2-statistics, Normalization of variates and the use of rectangular coordinates in the theory of sampling distributions and Partially balanced incomplete block designs need special mention.
1940 he had joined the University of Calcutta and in 1945, he became the HOD of Statistics. He was awarded a D. Litt degree in the year 1947 on his submitted paper on multivariate analysis and the design of experiments.
Published: N/A
Updated: February 02, 2021
