Temporal Data Analysis: Theory and ProceduresYou are currently using the site but have requested a page in the site. Would you like to change to the site? Julius S. Bendat , Allan G. First published in , Random Data served as an authoritative book on the analysis of experimental physical data for engineering and scientific applications.
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Random Data: Analysis and Measurement Procedures, 4th Edition
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First published in , 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.
data, ergodic random data, and nonstationary random data. Random Data: Analysis and Measurement Procedures, Fourth Edition. By Julius S. Bendat.
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