A compact yet comprehensive guide to the matrix methods foundational to modern statistical analysis, including regression and multivariate techniques. The second edition refines explanations, extends difficult topics, and adds a chapter on vectorising, matrix calculus, and complex numbers—making it accessible yet thorough for engineers, biologists, social scientists, and statisticians alike
A concise introduction to core business statistics, blending theoretical concepts with spreadsheet-based data analysis. Designed for MBA and executive-level courses, it emphasizes decision-making through topics like probability distributions, sampling, regression, forecasting, quality control, and Monte Carlo simulation. Accompanied by a student CD-ROM for hands-on application
This classic text offers broad and intuitive coverage of statistical methods commonly used across health science disciplines—ranging from nursing and epidemiology to public health, medicine, and therapy. Emphasizing conceptual understanding over rigorous proofs, the 1998 5th edition integrates computer-based analysis across major statistical packages (e.g., MINITAB, SPSS, SAS). It covers esse…
This book provides a practical introduction to statistical methods tailored for students and professionals in the physical sciences. Emphasizing real-world applications over mathematical formalism, Barlow covers key topics such as probability, error analysis, hypothesis testing, and parameter estimation. The text explains statistical techniques in a clear and intuitive way, supported by physics…
This textbook provides a concise and accessible introduction to the essential mathematical tools needed for physical chemistry. Designed specifically for chemistry students, the book covers calculus, differential equations, linear algebra, and other applied mathematics topics in a way that emphasizes their application to chemical problems. The third edition includes expanded examples, practice …