Portrait of John Angus
  • Email
    John.Angus@cgu.edu
  • Phone
    909-607-3376
  • Website
    https://scholar.cgu.edu/john-angus/
  • Degrees
    PhD, Applied Statistics, UC Riverside
    MS, Statistics, UC Riverside
    MA, Mathematics, UCLA
    BA, Mathematics/Physics, University of San Diego
  • Research Interests
    Probability, Statistics, Computing, Algorithms, Navigation, Systems Engineering, Mathematical Finance

John Angus is currently professor of mathematics and director of the Institute of Mathematical Sciences at Claremont Graduate University. He is also co-director of the PhD program in Computational Science offered jointly by CGU and San Diego State University.

Before joining CGU in 1990, Angus worked 15 years as a systems engineer for Hughes Aircraft Company. In that role, Angus was primarily responsible for the reliability analysis of many of Hughes’ command, control, and communications systems and for research and development in systems effectiveness. After leaving Hughes as a senior scientist, Angus consulted for Raytheon Corporation, developing satellite navigation and safety algorithms for several satellite-based navigation systems, including the Federal Aviation Administration’s Wide Area Augmentation System, the Navy’s Joint Precision Approach Landing System, and Japan’s Multi-functional Satellite Augmentation System.

Angus has presented at numerous conferences sponsored by the Institute of Electrical and Electronic Engineers and at the Society for Industrial and Applied Mathematics. He has given invited talks on the mathematics of Satellite Navigation at the University of California at Riverside and the Instituto Technologic Autonomo de Mexico. Angus also served as an associate editor or referee for several journals, including the Journal of Futures Markets, Journal of the Institute of Navigation, and Mathematical and Computer Modeling. He was a Hughes Fellow and a Fellow of the Royal Statistical Society, and he is a member of the Institute of Navigation, American Statistical Association, Institute of Mathematical Statistics, and Society for Industrial and Applied Mathematics.

Co-authored with Xiaoyu Che. “A New Joint Model of Recurrent Event Data with the Additive Hazards Model for the Terminal Event Time.” Metrika, 79, no. 1, (2016): 763–87.

“Bootstrapping a Universal Pivot When Nuisance Parameters are Estimated.” The American Statistician 70, no. 1, (2016): 100–07.

Co-authored with Jody Shu and Fumio Hamano. “Application of the Extended Kalman Filter for Improving the Accuracy and Smoothness of the Kinect Skeleton-Joint Estimates.” Journal of Engineering Mathematics, vol. 88, no. 1, October 2014.

Co-authored with Meng Lai Yin and Kishor Trivedi. “Optimum Preventive Maintenance Duration for Best Availability With Hypoexponential Failure Distributions.” IEEE Transactions on Reliability, vol. 62, no. 2, June 2013.

“A Variation on the Coupon Collecting Problem.” Communications in Statistics–Simulation and Computation, 42:10, pp. 2197–202, 2013.

Co-authored with Meng Lai Yin and Kishor Trivedi. “Optimum Age Replacement for Availability.” International Journal of Reliability, Quality, and Safety Engineering, Vol. 19, No. 5, 2012.

Asymptotic Methods in Statistics
Nonparametric & Computational Statistics
Linear Statistical Models
Probability
Reliability Theory
Advanced Probability
Advanced Statistics
Kalman Filtering
Time Series Analysis
Simulation
Stochastic Processes
Meta Analysis
Mathematical Finance