In QSAR/QSPR, chemical engineering, science & technology, and research initiatives, regression analysis is critical. Researchers are always challenged to find the best fit regression models, and efforts are made to reduce error components in order to improve model predictability and efficiency. The presence of a substantial mistake component eventually disrupted future fact investigation and forecasting. In this research, a methodology is presented for reducing the error component and improving the model's predictability and efficiency.
Author(s) DetailsKhurshid A. Bhat
State Education Department, Kashmir, Jammu and Kashmir, India.
View Book :- https://stm.bookpi.org/AAER-V5/article/view/984
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