000			01792nam a2200289Ia 4500
003			OSt
005			20251120122409.0
008			220909b |||||||| |||| 00| 0 eng d
020			_a9781439853788
037			_cTextual
040			_aCSL _beng _cCSL
041			_aeng
084			_aB2811 Q2 _qCSL
100			_eauthor
245		0	_aMeasurement Data Modeling and Parameter Estimation
260			_aLondon : _bCRC , _c2012 .
300			_axxi,531p.
490			_aSystems evaluation, prediction and decision-making
500			_aIncluded bibliographical references.; Index 517-531p.
520			_aMeasurement 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.
650			_aData processing. _9852588
650			_aParameter estimation. _9852589
650			_aStatistics. _9852590
700			_aWang, Zhengming _eauthor _9852591
942			_hB2811 Q2 _cTEXL _2CC _n0
999			_c8803 _d8803