350 pages | 130 B/W Illus.
This hands-on textbook introduces basic concepts of modern digital data analysis and graphics including numerical/graphical calculus, measurement units and dimensional analysis, non-statistical and statistical error analysis, etc. It emphasizes array-based or matrix inversion and spectral analysis using the fast Fourier transform (FFT) that dominates modern data analysis. It is comprehensive and better suited for student exploration efforts using modern equation solving software like MATLAB®, Mathematica, MathCad, etc. This textbook is focused on the basic mathematical methods, which distinguishes it from the rest of software focused textbooks.
Introduction. Data Attributes. Error Analysis. Statistics. Data Sampling. Linear Regression. Linear Regression by Matrix Inversion. Basic Digital Data Analysis. Data Inversion or Modeling. Trial-and-Error Methods. Array Methods. Spectral Analysis. Data Interrogation. Data Graphics. Key Concepts.