Least squares adaptive polynomials

Bibliography

• Abraham , B. and Ledolter , J. 1983 . Statistical Methods for Forecasting , New York : Wiley .
   Google Scholar
• Diderrich , G.T. 1985 . The Kalman filter from the perspective of Goldberger - Theil estimators . The American Statistician , 39 : 193 – 198 .
   Web of Science ®Google Scholar
• Goodrich , R.K. and Passi , R.M. 1988 . Characterization of the weights of least squares adaptive polynomials . SIAM J. Applied Mathematics , 39 To appear
   Google Scholar
• Kalman , R.E. 1960 . A new approach to linear filtering and prediction problems . ASME Trans., Part D (J. Basic Engineering) , 82 : 35 – 45 .
   Google Scholar
• Kalman , R.E. and Bucy , R.S. 1961 . New results in linear filtering and prediction theory . ASME Trans., Part D (J. Basic Engineering) , 83 : 95 – 108 .
   Google Scholar
• Meinhold , R.J. and Singpurwalla , N.D. 1983 . Understanding the Kalman filter . The American Statistician , 37 : 123 – 127 .
   Web of Science ®Google Scholar
• Morel , C. and Passi , R.M. 1986 . Use of adaptive polynomials for real time data editing . J. Atm. and Oceanic Tech , 3 : 494 – 498 .
   Web of Science ®Google Scholar
• Otterman , J. 1960 . The properties and methods for computation of exponentially mapped past statistical variables . IRE Trans. Auto. Control , AC-5 : 11 – 17 .
   Google Scholar
• Passi , R.M. and Morel , C. . An adaptive data editing algorithm with an application to hydrostatic altitude integration . Ninth conf. on Prob. and Statist, in Atm. Sci . Virginia Beach, VA. pp. 231 – 236 .
   Google Scholar
• Passi , R.M. and Goodrich , R.K. . Multiple weights for adaptive prediction . Sixth Annual Spring Conf. on Statistics Colo. Wyorn. Chapt . pp. 13 – 9 . American Statistical Association .
   Google Scholar
• Widrow , B. and Hoff , M.E. 1960 . Adaptive switching circuits . IRE WESCON Conv. Rec , : 70 – 73 . Part 4
   Google Scholar