Kaitai Fang, Chinese mathematician and statistician (Taizhou, Jiangsu Province 05 June 1940 –
Proposed the idea of uniform designs (1978) with Y. Wang
Created visualization analysis
Developed the d operator
Found that many existing orthogonal designs were also uniform designs
Developed new methods for inference in generalized multivariate analysis
Other Contributions
Proposed a kind of regression with constraint prescription regression
With B.Q. Fang introduced three families of multivariate and matrix l1-norm symmetric distribution with location and scale parameters (1986)
With B.Q. Fang introduced a family of multivariate distributions and a criterion of the invariance of statistics (1987)
With B.Q. Fang introduced a family of multivariate symmetric distributions (1988)
With J.L. Xun defined a class of multivariate distributions including the multivariate logistic (1989)
With Y. Wang developed a sequential algorithm for optimization and its applications to regression analysis (1990) and another for solving a system of nonlinear equations (1991)
With Y. Wang & H.L. Wong developed a new method for generating the uniform distribution on the unit sphere (1992)
With R.Z. Li gave some methods for generating both an NTnet and the uniform distribution on a Stiefel manifold and their applications (1997)
With D.K.J. Lin & C.X. Ma proposed five criteria for comparing multi-level super-saturated designs (2000)
With G.E. Gennian & M. Liu proposed a discrete discrepancy as a measure of uniformity for super-saturated designs (2002) and the packing method (2004)