Re: Linear regression w/ confidence intervals ...outputs confidence intervals for the best-fit parameters that it comes up with. ... Any book on linear regression will describe these. ... I see that the nonlinear fitting routines accept a 'weight' option--how do I translate variances into weights?... "I also know the variance of each of the data points " might mean several things. ... (comp.soft-sys.matlab)
Re: Multicollinearity and Sensitivity of inputs in PCR and PLS ... > Could you explain the meaning of coefficients from rigde regression,... I think that the coefficients represent some ... can the correlation coefficients be used to determine the ... I can speak only to regression, including ridge regression.... (sci.stat.math)
Re: how to get a linearity of a 3D field? ... you can make a linear least squares fit (orthogonal regression) and compute ... a job for a linear least squares solver with nonlinear equality constraints... and the computation of the confidence intervals requires some more analysis ... title = "Nonlinear Regression Analysis and Its Applications", ... (sci.math.num-analysis)
Re: theta = (XX)^-1*Xy ... except the rationale for Ridge...Regression is ... NOT because X'X is hard to invert.... As delta goes to zero, this line connects the data point with. ... (sci.stat.math)
Re: Deming vs linear regression and slope ... The standard error of the estimate is 0.87 with linear regression and 5.3 with Deming regression. ... The slope and intercept with the 95% confidence intervals for linear ... The slope and intercept with the 95% confidence intervals for Deming ... (sci.stat.math)
