Ordinary regression analysis is based on several statistical assumptions. One key assumption is that the errors are independent of each other. However, with time series data, the ordinary regression ...

Clifford H. Spiegelman, Two Pitfalls of Using Standard Regression Diagnostics when Both X and Y Have Measurement Error, The American Statistician, Vol. 40, No. 3 (Aug., 1986), pp. 245-248 ...

Orthogonal regression is one of the standard linear regression methods to correct for the effects of measurement error in predictors. We argue that orthogonal regression is often misused in ...