A WASHINGTON POST NOTABLE BOOK OF THE YEAR • The slings and arrows of outrageous fortune keep hitting beleaguered English professor Jason Fitger right between the eyes in this hilarious and eagerly awaited sequel to the cult classic of anhedonic academe, the Thurber Prize-winning Dear Committee Members. Once more into the breach... Now is the fall of his discontent, as Jason Fitger, newly appointed chair of the English Department of Payne University, takes arms against a sea of troubles, personal and institutional. His ex-wife is sleeping with the dean who must approve whatever modest initiatives he undertakes. The fearsome department secretary Fran clearly runs the show (when not taking in rescue parrots and dogs) and holds plenty of secrets she's not sharing. The lavishly funded Econ Department keeps siphoning off English's meager resources and has taken aim at its remaining office space. And Fitger's attempt to get a mossbacked and antediluvian Shakespeare scholar to retire backfires spectacularly when the press concludes that the Bard is being kicked to the curricular curb. Lord, what fools these mortals be! Julie Schumacher proves the point and makes the most of it in this delicious romp of satire.

Explores mathematical statistics in its entirety—from the fundamentals to modern methods This book introduces readers to point estimation, confidence intervals, and statistical tests. Based on the general theory of linear models, it provides an in-depth overview of the following: analysis of variance (ANOVA) for models with fixed, random, and mixed effects; regression analysis is also first presented for linear models with fixed, random, and mixed effects before being expanded to nonlinear models; statistical multi-decision problems like statistical selection procedures (Bechhofer and Gupta) and sequential tests; and design of experiments from a mathematical-statistical point of view. Most analysis methods have been supplemented by formulae for minimal sample sizes. The chapters also contain exercises with hints for solutions. Translated from the successful German text, Mathematical Statistics requires knowledge of probability theory (combinatorics, probability distributions, functions and sequences of random variables), which is typically taught in the earlier semesters of scientific and mathematical study courses. It teaches readers all about statistical analysis and covers the design of experiments. The book also describes optimal allocation in the chapters on regression analysis. Additionally, it features a chapter devoted solely to experimental designs. Classroom-tested with exercises included Practice-oriented (taken from day-to-day statistical work of the authors) Includes further studies including design of experiments and sample sizing Presents and uses IBM SPSS Statistics 24 for practical calculations of data Mathematical Statistics is a recommended text for advanced students and practitioners of math, probability, and statistics.