This book presents a comprehensive and practical treatment of multivariate permutation testing methods with a strong focus on applications in biostatistics. It emphasizes exact nonparametric methods suitable for small sample sizes and complex multivariate data structures. Designed for researchers and practitioners in biomedical fields, the book includes real-world datasets, R examples, and deta…
Basic Complex Analysis skillfully combines a clear exposition of core theory with a rich variety of applications. Designed for undergraduates in mathematics, the physical sciences, and engineering who have completed two years of calculus and are taking complex analysis for the first time.
A fundamental text for students in electrical and computer engineering, this book covers the theory and application of probability and random variables, focusing on their use in signal analysis. Topics include probability theory, random processes, linear systems, and spectral analysis. Includes numerous examples, problem sets, and application-oriented explanations.
This student solutions manual offers detailed, step-by-step solutions to selected problems from Introduction to Linear Regression Analysis (5th edition). Designed to support learning and practice, it reinforces understanding of concepts such as least squares estimation, model adequacy checking, multicollinearity, and diagnostics in linear regression models. Suitable for use alongside courses in…
he book is devoted to varieties of linear singular integral equations, with special emphasis on their methods of solution. It introduces the singular integral equations and their applications to researchers as well as graduate students of this fascinating and growing branch of applied mathematics.
Ledder's innovative, student-centered approach reflects recent research on successful learning by emphasizing connections between new and familiar concepts and by engaging students in a dialogue with the material. Though streamlined, this text is also flexible enough to support a variety of teaching goals, in part through optional topics that give instructors considerable freedom in customizing…
By introducing logic and by emphasizing the structure and nature of the arguments used, this book helps readers transition from computationally oriented mathematics to abstract mathematics with its emphasis on proofs. Uses clear expositions and examples, helpful practice problems, numerous drawings, and selected hints/answers. Offers a new boxed review of key terms after each section. Rewrites …
This book presents a comprehensive study of the theory of exponential dichotomies and their role in understanding the stability of solutions to nonautonomous linear differential systems. It develops the foundational concepts of nonuniform hyperbolicity, discusses Lyapunov exponents, and explores how spectral theory and evolution semigroups are used to analyze the long-term behavior of linear sy…
A classic introductory textbook in probability and statistics, this book provides a balanced presentation of theory and application. Topics include descriptive statistics, probability distributions, sampling theory, hypothesis testing, regression, and ANOVA. Designed for students in diverse fields such as business, biology, engineering, and the social sciences.
This book takes a fresh, student-oriented approach to teaching the material covered in the senior- and first-year graduate-level matrix structural analysis course. Unlike traditional texts for this course that are difficult to read, Kassimali takes special care to provide understandable and exceptionally clear explanations of concepts, step-by-step procedures for analysis, flowcharts, and inter…