Looks like biola university has a copy available in my interlibrary loan program. Hopefully I can get it in the next week or so!
Imputation is important. I created a wrapper for R's interpolation function to use spline interpolation to fill in missing data points in some pollutant monitoring data I had. It was a nice touch to have a complete graph, and since it was continuous with minimal missing values, the interpolation was appropriate. (Though, I ended up putting a smoother on the line anyway.) In any numerical analysis program, you usually go over interpolation methods. There are quite a few options in that regard, and I'm sure there's other cases where other imputation methods I'm unaware of are more appropriate. I look forward to checking this book out! Need new gym bike material to read haha