I am given the following data set and given an equation CA/CA0=e^-(kt). I am asked to perform a linear regression to find "k". t=[0 500 1000 1500 2000 2500 3000]; CA=[0.1 0.0892 0.0776 0.0705 0.0603 0.0542 0.0471]; I am not sure how to use this equation exactly in the code...
Ramesh (2011), A MATLABTM code to perform weighted linear regression with (correlated or uncorrelated) errors in bivariate data, J Geol Soc India, 77(4), 377-380.Thirumalai, K., Singh, A., Ramesh, R.: A matlabTM code to perform weighted linear regression with (correlated or uncorrelated...
MATLAB Online에서 열기 There is no option or in built function that can help "nlinfit()" do Iteratively Reweighted Least Squares (IRLS) in non-robust estimation. But a custom function can be written to iteratively calculate weight by using the 'Weights' ...
A matlab EEG toolbox to perform overlap correction and non-linear & linear regression. - unfoldtoolbox/unfold
depth. The data set is a csv with columns for 'profile_name', 'top_depth', 'bottom_depth' and 'organic_carbon'. There are other columns for spatial data that I shouldn't have to mention.If you have the Statistics Toolbox, you might find it handy ...
MATLAB Online에서 열기 If you have the Statistics Toolbox, you might find it handy to use "dataset" to read in the csv file and create a dataset array from it. Then I recommend that you convert the profile_name variable to a nominal variable. ...