- Page 81, in the equation of the F distributrion, in the denominator of the first fraction, the second factor must be psi2, not psi1. The complete LATEX formula is f(x)=\frac { \Gamma \left( \frac { { \Phi }_{ 1 }+{ \Phi }_{ 2 } }{ 2 } \right) { \left( \frac { { \Phi }_{ 1 } }{ { \Phi }_{ 2 } } } \right) }^{ \frac { { \Phi }_{ 1 } }{ { \Phi }_{ 2 }} } } }{ \Gamma \left( { \Phi }_{ 1 }/2 \right) \Gamma \left( { \Phi }_{ 2 }/2 \right) } { x }^{ \frac { { \Phi }_{ 1 }-2 }{ 2 }} }{ \left( 1+\frac { { \Phi }_{ 1 } }{ { \Phi }_{ 2 } } } x \right) }^{ \frac { { \Phi }_{ 1 }+{ \Phi }_{ 2 } }{ 2 } }
- Page 98, replace "The first command normalizes the observed frequencies n_obs to a total of one." by "The first command normalizes the observed frequencies n_exp to a total of one."
- On Page 146, replace "data(:,1) = 0.3 : 0.1 : 3;" by "data(:,1) = 0.5 : 0.1 : 3;", also in the text it should be "We first generate evenly-spaced values between 0.5 and 3 at intervals of 0.1 ...". This is correct in recipes_4.m.
- On Page 147 replace "model = @(phi,t)(data(:,4).*(phi(1)*exp(t) + phi(2)));" by "model = @(phi,t)(phi(1)*exp(t) + phi(2));". This is correct in recipes_4.m.
- On Page 147 replace "p = nlinfit(data(:,1),data(:,5),model,p0,'Weights',data(:,4))" by "p = nlinfit(data(:,1),data(:,2),model,p0,'Weights',data(:,4))". This is correct in recipes_4.m.
- Page 162, replace "randn('seed')" by "rng(0)".
- Page 188 and page 190, replace "f = 1./(4*pi*cwtstruct.scales/(w0+sqrt(2+w0^2)));" by "f = 1./(4*pi*cwtstruct.scales/(6+sqrt(2+6^2)));" Alternatively, "f = cwtstruct.frequencies;" yields the same correct result.
- Page 333, replace "hdftool('naivasha.hdf') by "hdftool(filename).
- Page 351, replace "tform = fitgeotrans(inputpoints,basepoints,'projective');" by "tform = fitgeotrans(basepoints,inputpoints,'projective');"
- Page 369, figure caption, replace "Gonzales" by "Gonzalez".
- Page 382 and 385, Fig. 9.2 and 9.3, the graphics were mistakenly not updated when the 4th edition was published. Instead the 4th edition contains the versions of Fig. 9.2 and 9.3 from the 3rd edition. The example discussed in the text and in the MATLAB recipes for the analysis of a data set with 3 minerals generates different graphics.