John G. Saw
About
John G. Saw has authored 36 papers that have received a total of 392 indexed citations.
This includes 23 papers in Statistics and Probability, 5 papers in Artificial Intelligence and 5 papers in Statistical and Nonlinear Physics. The topics of these papers are Advanced Statistical Methods and Models (13 papers), Statistical Distribution Estimation and Applications (7 papers) and Statistical Methods and Inference (5 papers). John G. Saw is often cited by papers focused on Advanced Statistical Methods and Models (13 papers), Statistical Distribution Estimation and Applications (7 papers) and Statistical Methods and Inference (5 papers) and collaborates with scholars based in United States, Australia and United Kingdom. John G. Saw's co-authors include Mark C. K. Yang, Tse Chin Mo, Glenn A. Walker, William G. Hudson and James R. Schott and has published in prestigious journals such as Journal of the American Statistical Association, Technometrics and Biophysical Journal
In The Last Decade
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