Innovative Trends and Techniques in Advanced Regression Analysis

This review paper explains different steps of regression technique – that is data collection, preprocessing , exploratory data analysis, feature engineering and selection and dimension of data after that it explores recent advancements in regression methodologies, highlighting their applications, predictive modeling for monotonic regression for image dataset, pattern-aided regression modelling it use concept of local regression technique overcome the problem of standard regression models, possibilistic nonlinear regression with interval data which divide the instance in interval based and calculate the separate parameter for each interval, unitary regression classification for face recognition technique used for image dataset cover all the face recognition techniques.Comparative revive of this technique is mentioned in literature review. Its applications, complex process of interval prediction, pattern-aided regression (PXR) model and future scope are also discussed.