Fuzzy Nonparametric Regression Model Estimation Based on some Smoothing Techniques With Practical Application
Univariate fuzzy nonparametric regression
Triangular fuzzy number
Local linear smoothing
Kernel smoothing
K-nearest neighbor
Optimal smoothing parameter .
In this research, we use fuzzy nonparametric methods based on some smoothing techniques, were applied to real data on the Iraqi stock market especially the data about Baghdad company for soft drinks for the year (2016) for the period (1/1/2016-31/12/2016) .A sample of (148) observations was obtained in order to construct a model of the relationship between the stock prices (Low, high, modal) and the traded value by comparing the results of the criterion (G.O.F.) for three techniques , we note that the lowest value for this criterion was for the K-Nearest Neighbor at Gaussian function .
