A well-established introductory statistics text for undergraduates, this edition retains Freund's accessible style and practical focus, covering data description, probability, sampling, hypothesis testing, regression, ANOVA, and nonparametric tests. It streamlines computational details and incorporates technology guidance to support modern learners.
This companion study guide enhances the Precalculus: Mathematics for Calculus textbook by offering detailed explanations, worked-out examples, and practice problems aligned with each chapter. Structured to reinforce understanding of key concepts—from fundamental algebra and functions to trigonometry, analytic geometry, sequences, series, and an initial look at limits—the guide supports lear…
This respected textbook offers a foundational exploration of structural analysis principles for civil and aeronautical engineering students. Divided into two parts, it begins with basic structural theory—covering loads, reactions, bending, shear, trusses, influence lines, and energy methods. The second part introduces systematic analysis, including matrix and stiffness methods suitable for co…
This classic book is a systematic exposition of general topology. It is especially intended as background for modern analysis. Based on lectures given at the University of Chicago, the University of California and Tulane University, this book is intended to be a reference and a text. As a reference work, it offers a reasonably complete coverage of the area, and this has resulted in a more exten…
An accessible, calculus-based introduction to setting up and analyzing probabilistic models of real-world phenomena. This second edition adds updated and expanded chapters, numerous worked examples, and exercises (with solutions at the end), making it well-suited for undergraduates in mathematics, engineering, and related fields.
Aimed at students seeking a career in science, engineering or mathematics, this text on multivariable calculus emphasizes that calculus is best understood via geometry and interdisciplinary applications. The book includes problem sets and chapter projects that offer a substantial source of applied problems. Also included are chapter-end do-it-yourself projects on topics in science, engineering …
This comprehensive reference provides in-depth coverage of the theory and practical application of mixture experiment designs. John Cornell presents detailed strategies for constructing mixture designs (such as simplex-lattice and centroid), modeling response surfaces using Scheffé polynomials, and analyzing results with tools like ANOVA, residual analysis, and leverage diagnostics. The third …
This book introduces decision theory with a focus on dynamic programming and sequential decision-making under uncertainty. It provides a clear, intuitive treatment of the mathematics behind making optimal decisions over time, covering topics such as Markov decision processes, Bellman equations, and applications in operations research, economics, and statistics. Aimed at students and practitione…