This book presents a calculus-based introduction to mathematical statistics, emphasizing both the theory and practical applications of statistical methods. Topics include probability distributions, estimation, hypothesis testing, regression, and real-world applications relevant to science and engineering.
Barnett/Ziegler/Byleen, Applied Mathematics, eighth edition provides comprehensive coverage of the topics essential to the mathematical development of students majoring in business, economics, social sciences, or life sciences. The emphasis throughout is on computational skills, ideas, and problem solvingrather than on mathematical theory. Derivations and proofs are included only when necessa…
Basic Real Analysis provides a comprehensive and rigorous introduction to real analysis at the graduate level. It covers foundational topics such as sequences, limits, continuity, differentiation, Riemann and Lebesgue integration, metric and normed spaces, and elementary topology. With clear exposition, numerous examples, and hundreds of problems (many with detailed solutions), this book serves…
Numerical Methods (3rd Edition) by J. Douglas Faires and Richard Burden provides a comprehensive introduction to the fundamental techniques of numerical analysis. Covering topics such as root-finding, numerical linear algebra, interpolation, numerical integration, and differential equations, the book emphasizes both the theoretical foundation and practical implementation of algorithms. With an …
Differential Equations and Linear Algebra (Second Edition) by Stephen W. Goode offers an integrated approach to the study of differential equations and linear algebra. The book emphasizes how linear algebra techniques support the analysis and solution of differential equations, with a focus on systems, eigenvalues, and phase plane analysis. Clear explanations, real-world applications, and numer…
Thomas' Calculus, Early Transcendentals Update (10th Edition) by George B. Thomas and Ross L. Finney provides a thorough and balanced introduction to calculus, covering both differential and integral calculus for single and multivariable functions. Emphasizing early introduction of transcendental functions, the book integrates clear explanations, precise mathematical reasoning, and a wide range…
Analytic Methods for Partial Differential Equations by G. Evans, J. Blackledge, and P. Yardley introduces classical techniques for solving partial differential equations (PDEs), with a focus on methods such as separation of variables, Fourier series, integral transforms, and Green's functions. Aimed at undergraduate students in mathematics, physics, and engineering, the book balances theoretica…
Learning Numerical Analysis Through Derive by Terence Etchells and John Berry is part of the Learning Through Computer Algebra series and provides an interactive approach to understanding numerical analysis using the computer algebra system Derive. The book introduces key numerical methods—such as root-finding, numerical integration, and solving differential equations—while encouraging hand…
Communications in Difference Equations (1st Edition), edited by Saber N. Elaydi, Jerry Popenda, and Jerry Rakowski, presents a collection of peer-reviewed research papers from the Fourth International Conference on Difference Equations. Covering a wide range of topics including stability theory, discrete dynamical systems, boundary value problems, and applications in science and engineering, th…
Fundamentals of Mathematical Analysis by G. Das and S. Pattanayak provides a rigorous yet accessible introduction to core topics in real analysis. Covering sequences, series, continuity, differentiation, integration, and metric spaces, the book emphasizes logical structure and clarity of proofs. It is designed for undergraduate and postgraduate students in mathematics, offering a solid foundati…