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Books > Professional & Technical > Energy technology & engineering > Electrical engineering > Power generation & distribution
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Measurement Data Modeling and Parameter Estimation (Paperback)
Loot Price: R2,263
Discovery Miles 22 630
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Measurement Data Modeling and Parameter Estimation (Paperback)
Series: Systems Evaluation, Prediction, and Decision-Making
Expected to ship within 12 - 19 working days
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Measurement Data Modeling and Parameter Estimation integrates
mathematical theory with engineering practice in the field of
measurement data processing. Presenting the first-hand insights and
experiences of the authors and their research group, it summarizes
cutting-edge research to facilitate the application of mathematical
theory in measurement and control engineering, particularly for
those interested in aeronautics, astronautics, instrumentation, and
economics. Requiring a basic knowledge of linear algebra,
computing, and probability and statistics, the book illustrates key
lessons with tables, examples, and exercises. It emphasizes the
mathematical processing methods of measurement data and avoids the
derivation procedures of specific formulas to help readers grasp
key points quickly and easily. Employing the theories and methods
of parameter estimation as the fundamental analysis tool, this
reference: Introduces the basic concepts of measurements and errors
Applies ideas from mathematical branches, such as numerical
analysis and statistics, to the modeling and processing of
measurement data Examines methods of regression analysis that are
closely related to the mathematical processing of dynamic
measurement data Covers Kalman filtering with colored noises and
its applications Converting time series models into problems of
parameter estimation, the authors discuss modeling methods for the
true signals to be estimated as well as systematic errors. They
provide comprehensive coverage that includes model establishment,
parameter estimation, abnormal data detection, hypothesis tests,
systematic errors, trajectory parameters, and modeling of radar
measurement data. Although the book is based on the authors'
research and teaching experience in aeronautics and astronautics
data processing, the theories and methods introduced are applicable
to processing dynamic measurement data across a wide range of
fields.
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