Title : ( Linear Profile Forecasting using Regression Analysis )
Authors: Hamideh Razavi , Sanaz Sharifi Ghazvini ,
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Abstract
In this paper, the status of a single variable linear profile has been predicted for quality control, using regression analysis with maximum likelihood approach. In the proposed model, the parameters of the profile including the slope and the intercept are estimated using collected data. Afterwards, the control limits for parameters are calculated and introduced to the predicted values. Therefore it can be checked whether the profile is under statistical control or not. Although time series analytical approach is applied in this research, the profile characteristics do not necessarily depend on time and can be defined according to any other variable.
Keywords
, Quality control, Profile, Forecasting, Maximum likelihood, Linear regression
@inproceedings{paperid:1034272,
author = {Razavi, Hamideh and Sharifi Ghazvini, Sanaz},
title = {Linear Profile Forecasting using Regression Analysis},
booktitle = {International Conference on Industrial Engineering and Operations Management},
year = {2012},
location = {استانبول},
keywords = {Quality control; Profile; Forecasting; Maximum likelihood; Linear regression},
}
%0 Conference Proceedings
%T Linear Profile Forecasting using Regression Analysis
%A Razavi, Hamideh
%A Sharifi Ghazvini, Sanaz
%J International Conference on Industrial Engineering and Operations Management
%D 2012
