Open AccessProcess Identification with Autoregressive Linear Regression Method using Experimental Data: Review
Author(s) -
Naregalkar Akshay,
D. Subbulekshmi
Publication year - 2016
Publication title -
indian journal of science and technology
Language(s) - English
Resource type - Journals
eISSN - 0974-6846
pISSN - 0974-5645
DOI - 10.17485/ijst/2016/v9i39/91470
Subject(s) - autoregressive model , system identification , residual , autoregressive–moving average model , noise (video) , computer science , linear model , errors in variables models , process (computing) , box–jenkins , mathematics , white noise , linear regression , identification (biology) , regression analysis , statistics , time series , algorithm , autoregressive integrated moving average , artificial intelligence , data mining , measure (data warehouse) , botany , biology , operating system , image (mathematics)