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Random Data
Timely updates of classic books on the theory and application of random data analysis First published in 1971, Random Data was implemented as an official book on physical experimental data analysis for technical and scientific applications. This Fourth Edition presents new developments in management procedures and analysis of random data that apply to various fields of application, ranging from the aviation and automotive industries to oceanographic and biomedical research. This new edition continues to maintain a balance between classical theory and novel techniques. The authors extend the treatment of random data analysis theory, including the derivation of key relationships in probability and random process theory. This book remains unique in the practical treatment of non-stationary data analysis and nonlinear system analysis, presenting the latest techniques on modern data acquisition, storage, conversion, and qualification of random data before its digital analysis. The Fourth Edition also includes: A new chapter on frequency domain techniques for modeling and identifying nonlinear systems from measured random input / output data New material on the analysis of multiple input / single input linear models The latest recommended method for data acquisition and random data processing Mathematical formulas are important for designing experiments and evaluating the results of random data analysis and measurement procedures The answer to the problem in each chapter Comprehensive and independent Random, Independent, Fourth Edition data is an indispensable book for courses on the theory of random data analysis and applications at the undergraduate and postgraduate level. This is also an in-depth reference for engineers and scientists who use statistical methods to investigate and solve problems with dynamic data.
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