Random Data served as an authoritative book on the analysis of experimental physical data for engineering and scientific applications. This Fourth Edition features coverage of new developments in random data management and analysis procedures that are applicable to a broad range of applied fields, from the aerospace and automotive industries to oceanographic and biomedical research. This new edition continues to maintain a balance of classic theory and novel techniques. The authors expand on the treatment of random data analysis theory, including derivations of key relationships in probability and random process theory. The book remains unique in its practical treatment of nonstationary data analysis and nonlinear system analysis, presenting the latest techniques on modern data acquisition, storage, conversion and qualification of random data prior to its digital analysis.Table of Contents: Basic Descriptions and Properties Linear Physical Systems Probability Fundamentals Statistical Principles Stationary Random Processes Multiple-Input/Output Relationships Statistical Errors in Basic Estimates Statistical Errors in Advanced Estimates Data Acquisition and Processing Data Analysis Non-stationary Data Analysis The Hilbert Transform Nonlinear System Analysis