The presence of gross, possibly time varying, systematic multiplicative biases in process tanks affects the estimation of the physical inventory of a chemical separation and concentration facility. This in turn affects the nuclear materials account, especially the near-real time account. The proposed implementation of solution monitoring [1-3] on chemical separation areas will provide appropria...

The experiment was done in a lemon grove on the high school farm in Fillmore, Ventura County, California. The grove is managed using IPM methods and is under successful biological control for California red scale. Lorzban is sprayed annually on the ground for ant control but the area we sampled was not sprayed during our experiment. No other pesticides or oil treatments are used. Aphytis melinu...

The problem addressed in this paper deals with the parameter estimation of in vitro uptake kinetics of drugs into living cells in presence of timing noise. Effects of the timing noise on the bias and variance of the output error are explicitly determined. A bounded-error parameter estimation approach is proposed as a suited solution to handle this problem. Application results are presented whic...

This paper deals with the estimation of the time to contact in dynamic vision problems. A novel approach based on set membership estimation theory is proposed. It allows for the computation of bounds on the time to contact estimates in nite time.

& Conclusions-Risk analysis is discussed within a Bayes framework. Traditionally, Bayes parameter estimation is based on a quadratic loss-function. This paper introduces an alternative asymmetric precautionary loss-function, derives its main features, and presents a general class of precautionary loss-functions with the quadratic loss-function as a special case. These loss functions approach in...

This paper describes a partial parser that assigns syntactic structures to sequences of partof-speech tags. The program uses the maximum entropy parameter estimation method, which allows a flexible combination of different knowledge sources: the hierarchical structure, parts of speech and phrasal categories. In effect, the parser goes beyond simple bracketing and recognises even fairly complex ...

In this paper, we propose an unbiased minimum variance es-timator to estimate the parameters of an ellipse. The objective of the optimization is to compute a minimum variance estimator. The experimental results show the dramatic improvement over existed weighted least sum of squares approach especially when the ellipse is occluded.

Let cov[Y ] denote the covariance matrix of a multivariate random variable Y , i. Proposition 7 (Cramér-Rao inequality). Suppose that X is a multivariate random variable with distribution p(x; θ), for parameter θ ∈ Θ n , and let T(X) = (T 1 (X),. .. , T r (X)) be any unbiased estimator of ψ(θ) = (ψ 1