Asst. prof. dr. Tome Eftimov and Prof. dr. Peter Korošec from the Computer Systems Department have published a Springer book entitled Deep Statistical Comparison for Meta-heuristic Stochastic Optimization Algorithms. The book is focused on robust statistical methods for benchmarking single- and multi-objective optimization meta-heuristics. Robust statistical methods are crucial for fair benchmarking and to increase the reproducibility and replicability of experiments. The work presented in the book was supported by the postdoc project “Mr-BEC: Modern approaches for benchmarking in evolutionary computation" led by Asst. prof. dr. Tome Eftimov, and the European Union's Horizon 2020 research and innovation program under grant agreement No. 692286 led by Prof. dr. Peter Korošec. The book provides approaches to trustworthy benchmarking that can easily be transferred to other research domains. The book is organized for researchers interested in basic and recent advances ins statistical analysis.