Periodic Time Series Models
the complexities of analysis without leaving the problem-oriented reader at a loss for a useable answer. Despite its mathematical rigor, this text is accessible to the practitioner, with a special effort made in a number of places to distill the theory into a practical solution. Many of the chapters include sections explicitly devoted to the problem-specific concerns encountered when applying the methodology. Some of these practical digressions are found in Sections 3.9 “Which Test?,” 4.7 “Which Distribution?,” 7.7 “Which Test Should You Use?,” 9.3.1 “Which Test—Parametric or Permutation,” and 9.4.4 “Which Statistic?”. All told, Permutation, Parametric, and Bootstrap Tests of Hypotheses garners high marks for its scope and clarity. Graduate students will appreciate its rigorous treatment of diverse topics and ample exercises to reinforce ideas. And although lay readers may prefer that selected solutions be included, given the book’s intended audience, such omission is understandable. In summary, this text deserves a place in any scientific library. Scientists for whom a statistical test is an occasional chore will find it a welcome guide, whereas for the statistical professional, it serves as a quick-reference to a breadth of testing procedures.