A timely update of the classic book on the theory andapplication of random data analysis First published in 1971, Random Data served as anauthoritative book on the analysis of experimental physical datafor engineering and scientific applications. This FourthEdition features coverage of new developments in random datamanagement and analysis procedures that are applicable to a broadrange of applied fields, from the aerospace and automotiveindustries to oceanographic and biomedical research. This new edition continues to maintain a balance of classictheory and novel techniques. The authors expand on the treatment ofrandom data analysis theory, including derivations of keyrelationships in probability and random process theory. The bookremains unique in its practical treatment of nonstationary dataanalysis and nonlinear system analysis, presenting the latesttechniques on modern data acquisition, storage, conversion, andqualification of random data prior to its digital analysis. TheFourth Edition also includes: * A new chapter on frequency domain techniques to model andidentify nonlinear systems from measured input/output randomdata * New material on the analysis of multiple-input/single-outputlinear models * The latest recommended methods for data acquisition andprocessing of random data * Important mathematical formulas to design experiments andevaluate results of random data analysis and measurementprocedures * Answers to the problem in each chapter Comprehensive and self-contained, Random Data, FourthEdition is an indispensible book for courses on random dataanalysis theory and applications at the upper-undergraduate andgraduate level. It is also an insightful reference for engineersand scientists who use statistical methods to investigate and solveproblems with dynamic data.