Study on the Impact of Weight Function in Weighted Regression on Heteroscedasticity Strength in Model——the tree height-diameter curve equation of Pinus kesiya var.langbianensis with heteroscedasticity;

Some problems on heteroscedasticity in multi-linear regression models;

The likelihood ratio test and Score test are proposed to test the autocorrelation and heteroscedasticity of the ARMA(1,1) sequence random errors in nonlinear regression models.

It is found changes of regression parameters A and b that there is heteroskedasticity in the Z-I relation due to its nonlinearity and instability,and the methods of weighted least square and best criterion function are proposed to slove this problem.

Thermal conductivity and its directional difference of protein fiber;

It ignores students individual differences and has suppressed the potential display.

This study, involving a sample of 1993 subjects of 10 t o 90 years of a ge and a battery of computer tests of processing speed, working memory, mental a rithmetic, spatial representation and memory recognition, was conducted to analy se the cognitive developmental course across the life span, the changes of cogni tive separability and individual difference.