"Systems analysis." . . "Industrial Chemistry and Chemical Processing." . . . "A Bayesian updating procedure is proposed for filtering the process parameters in the two-stage Markovian constant variance model for time varying normal data in the situation where the signal to noise ratio is unknown. A forecastign procedure is described which yields the entire predictive distribution of future observations; a numerical study involves an on-line analysis for chemical process concentration readings. A similar method is developed for Poisson data and applied to the analysis of an industrial control chart."@en . . . . . . . . . . . . . . . "A Bayesian Approach to Markovian Models for Normal and Poisson Data"@en . . . . . . . . "Models." . . "Linear regression analysis." . . "Charts." . . "Control." . . "WISCONSIN UNIV-MADISON MATHEMATICS RESEARCH CENTER." . . "Quality control." . . "Poisson density functions." . . "Markov processes." . . "Distribution." . . . . "Statistics and Probability." . . "Predictions." . . "Forecasting." . . "Chemical engineering." . . "Kalman filtering." . . "Bayes theorem." . . "Normal distribution." . . "Online systems." . .