New Prediction Interval and Band in the Nonlinear Regression Model: Application to Predictive Modeling in Foods
نویسندگان
چکیده
New Prediction Interval and Band in the Nonlinear Regression Model: Application to Predictive Modeling in Foods Jean-Pierre Gauchi a; Jean-Pierre Vila b; Louis Coroller c a INRA (National Institute of Agronomical Research), Department of Applied Mathematics and Computational Science, Unité MIA, Jouy-en-Josas, France b INRA (National Institute of Agronomical Research), Department of Applied Mathematics and Computational Science, UMR Analyse des Systèmes et Biométrie, Montpellier, France c Université de Bretagne Occidentale, LUMAQ, Quimper, France
منابع مشابه
Functional-Coefficient Autoregressive Model and its Application for Prediction of the Iranian Heavy Crude Oil Price
Time series and their methods of analysis are important subjects in statistics. Most of time series have a linear behavior and can be modelled by linear ARIMA models. However, some of realized time series have a nonlinear behavior and for modelling them one needs nonlinear models. For this, many good parametric nonlinear models such as bilinear model, exponential autoregressive model, threshold...
متن کاملTUNNEL BORING MACHINE PENETRATION RATE PREDICTION BASED ON RELEVANCE VECTOR REGRESSION
key factor in the successful application of a tunnel boring machine (TBM) in tunneling is the ability to develop accurate penetration rate estimates for determining project schedule and costs. Thus establishing a relationship between rock properties and TBM penetration rate can be very helpful in estimation of this vital parameter. However, this parameter cannot be simply predicted since there ...
متن کاملQuantitative Modeling for Prediction of Critical Temperature of Refrigerant Compounds
The quantitative structure-property relationship (QSPR) method is used to develop the correlation between structures of refrigerants (198 compounds) and their critical temperature. Molecular descriptors calculated from structure alone were used to represent molecular structures. A subset of the calculated descriptors selected using a genetic algorithm (GA) was used in the QSPR model development...
متن کاملApplication of Gene Expression Programming and Support Vector Regression models to Modeling and Prediction Monthly precipitation
Estimating and predicting precipitation and achieving its runoff play an important role to correct management and exploitation of basins, management of dams and reservoirs, minimizing the flood damages and droughts, and water resource management, so they are considered by hydrologists. The appropriate performance of intelligent models leads researchers to use them for predicting hydrological ph...
متن کاملAn ANOVA Based Analytical Dynamic Matrix Controller Tuning Procedure for FOPDT Models
Dynamic Matrix Control (DMC) is a widely used model predictive controller (MPC) in industrial plants. The successful implementation of DMC in practical applications requires a proper tuning of the controller. The available tuning procedures are mainly based on experience and empirical results. This paper develops an analytical tool for DMC tuning. It is based on the application of Analysis of V...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید
ثبت ناماگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید
ورودعنوان ژورنال:
- Communications in Statistics - Simulation and Computation
دوره 39 شماره
صفحات -
تاریخ انتشار 2010