Statistical Models for Control, Optimization, Reliability, and Life Testing.
Annual rept. 1 Jun 72-31 May 73,
WISCONSIN UNIV MADISON DEPT OF STATISTICS
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The areas of research include topics of stochastic systems especially with discrete control, statistical model building, the state variable approach, the effects of constraints on the degree of possible manipulation of a system, appropriate algorithms for optimal feed forward control, closed loop operations, discrete control and estimation, maximum likelihood estimation for the parameters of a dynamic model, estimation of the parameters in a stationary linear dynamic model, statistical analysis of the polynomial algorithm for probability density function estimation, estimation in non-linear systems, bounds for optimal mean square-error for probability density function estimation, density function estimation using interpolating spline functions, and the use of reproducing kernel Hilbert space techniques for the continuous time constrained control problems. Author
- Statistics and Probability