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Overview
Expanded to cover more advanced applications where statistical properties of data can be nonstationary and the physical systems nonlinear as opposed to only linear. Stresses the practical use and interpretation of analyzed data to solve problems. Special attention is given to bias and random errors involved in desired estimates and the proper interpretation of results from specific applications. Includes numerous case studies concerned with dynamic problems which can occur in a variety of fields.
Synopsis
Expanded to cover more advanced applications where statistical properties of data can be nonstationary and the physical systems nonlinear as opposed to only linear. Stresses the practical use and interpretation of analyzed data to solve problems. Special attention is given to bias and random errors involved in desired estimates and the proper interpretation of results from specific applications. Includes numerous case studies concerned with dynamic problems which can occur in a variety of fields.
Booknews
Explains how to apply data analyzed in the form of correlation and spectral density functions to solve engineering problems. Features detailed computational algorithms, input/output formulas, plots of important error functions, and numerous case studies involving dynamic problems in aerospace and automotive vehicles, civil engineering and oceanographic structures, and many other fields. Practical in its outlook, this text provides details on estimation errors that occur in actual engineering problems. Annotation c. Book News, Inc., Portland, OR (booknews.com)