Scientific computing and uncertainty book review

I have two book reviews in the current issue of the Journal of Statistical Software. In the second, I reviewed Uncertainty Quantification and Stochastic Modeling with MATLAB by Eduardo Souza de Cursi and Rubens Sampaio.

From the review,

Uncertainty quantification is a relatively new field within numerical analysis with applications across engineering, social sciences, and natural sciences as computer-based simulations and complex statistical analyses become core analytical methods. The creators of deployed models, such as high-frequency traders and recommendation system devlopers, will also find this book applicable.

There are a pair of typos in the the first paragraph I hope to get fixed!