000			01087nam a22002177a 4500
999			_c12606 _d12606
003			OSt
005			20200526151026.0
008			200123b1993 -usd fr |||0 0 eng d
020			_a0-13-345711-7
040			_apeliigp _bspa _cpeliigp
041			_aeng
082	0	4	_a621.392/K28
100		1	_4autor _92824 _aKay, Steven M.
245			_aFundamentals of statistical signal processing estimation theory
260			_aEstados Unidos: _bPrentice-Hall, Inc.; _c1993
300			_a554 páginas: _bgráficos; _c24 cm
500			_aIncluye índice: páginas 589-595
505			_a1. Introduction -- 2. Minimum variance unbiased estimation -- 3. Cramer-rao lower bound -- 4. Linear models -- 5. General minimum variance unbiased estimation -- 6. Best linear unbiased estimators -- 7. Maximun likelihood estimation -- 8. Least squares -- 9. Method od moments -- 10. The bayesian philosophy -- 11. General bayesian estimators -- 12. Linear bayesian estimators -- 13. Kalman filters -- 14. Summary estimators -- 15. Extensions for complex data and parameters
910			_aslz
942			_2ddc _cBK