For those seeking a solid foundation in mathematical statistics, several recommended texts include "Statistics in Plain English" by Timothy C. Urdan and "Introductory Statistics" by Neil A. Weiss, both suitable for math and engineering students. Advanced learners may benefit from "A First Course in Mathematical Statistics" by C. E. Weatherburn and "Statistical Inference" by Casella and Berger. Additional resources include "Mathematical Handbook for Scientists and Engineers" by Granino A. Korn and "Theoretical Statistics" by D. R. Cox. The MIT OpenCourseWare also offers valuable materials for further study. These books provide a comprehensive understanding of mathematical statistics for various academic levels.