A Bayesian Approach To Gross Error Detection in Chemical Process Data Part I *: Model Development
نویسنده
چکیده
Northwestern University,
منابع مشابه
A Bayesian Approach to Gross Error Detection in Chemical Process Data Part II *: Simulation Results
IL 60208 (U.S.A.) Tamhane, A.C.. lordache, C. and Mah, R.S.H., 1988. A Bayesian approach to gross error detection in chemical process data. Part II: Simulation results. Chemometrux and Intelligent Laboratory Systems, 4: 131-146. The performance of the gross error detection scheme based on the Bayesian test is evaluated using Monte Carlo simulation methods. Effects of selected control factors (i...
متن کاملدربارۀ شناسایی بیزیِ دنبالهای نقطۀ تغییر
The problems of sequential change-point have several important applications in quality control, signal processing, and failure detection in industry and finance and signal detection. We discuss a Bayesian approach in the context of statistical process control: at an unknown time τ, the process behavior changes and the distribution of the data changes from p0 to p1. Two cases are consi...
متن کاملBayesian prediction of rotational torque to operate horizontal drilling
Horizontal directional drilling is usually used in drilling engineering. In a variety of conditions, it is necessary to predict the torque required for performing the drilling operation. Nevertheless, there is presently not a convenient method available to accomplish this task. In order to overcome this difficulty, the current work aims at predicting the required rotational torque (RT) to opera...
متن کاملIntroducing of Dirichlet process prior in the Nonparametric Bayesian models frame work
Statistical models are utilized to learn about the mechanism that the data are generating from it. Often it is assumed that the random variables y_i,i=1,…,n ,are samples from the probability distribution F which is belong to a parametric distributions class. However, in practice, a parametric model may be inappropriate to describe the data. In this settings, the parametric assumption could be r...
متن کاملAnalysis of Hierarchical Bayesian Models for Large Space Time Data of the Housing Prices in Tehran
Housing price data is correlated to their location in different neighborhoods and their correlation is type of spatial (location). The price of housing is varius in different months, so they also have a time correlation. Spatio-temporal models are used to analyze this type of the data. An important purpose of reviewing this type of the data is to fit a suitable model for the spatial-temporal an...
متن کامل