A.M. Mathai

While this appears to be a textbook, teachers may be a more accurate target audience for this introduction to probability relevant to the applied sciences. Including basics of sampling distributions, estimation, and hypothesis testing, the topics here arose in a course for teachers in Kerala, India. “These topics were suggested by the college teachers themselves so that they … could be better prepared to teach the material in their classes”, states the preface. This then companion text show more for future practitioners or their instructors begins from set theory basics and extends to model-building and experiment design. The two or more semesters of material here range from the undergraduate to early graduate level.

This English text has some notation, verbiage, and grammar idiosyncrasies that separate it from similar texts. For instance, the relative complement of A with respect to a set B is notated AC, rather than the clearer binary operation B ∖ A. (AC is the complement of A relevant to what set?) ...

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