Parameter Estimation for Scientists and Engineers

Parameter Estimation for Scientists and Engineers

Volumn , Issue , 2007, Pages 1-273

  van den Bos, Adriaan ^a  

^a DELFT UNIVERSITY OF TECHNOLOGY   (Netherlands)

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[No Author keywords available]

Indexed keywords

EID: 84889477469     PISSN: None     EISSN: None     Source Type: Book    
DOI: 10.1002/9780470173862     Document Type: Book

References (37)

1. A.C. Aitken. Determinants and Matrices. New York: Interscience, 1954.
2. A.C. Atkinson and A.N. Donev. Optimum Experimental Designs. Oxford: Clarendon, 1992.
3. O. E. Barndorff-Nielsen. Information and Exponential Families in Statistical Theory. Chichester: Wiley, 1978.
4. D.M. Bates and D.G. Watts. Nonlinear Regression Analysis and its Applications. New York: Wiley, 1988.
5. H. Cramir. Mathematical Methods of Statistics. Princeton: Princeton University Press, 1999.
6. A.J. Den Dekker, S. Van Aert, A. van den Bos, and D. Van Dyck. Maximum likelihood estimation of structure parameters from high resolution electron microscopy images. Part 1: A theoretical framework. Ultramicroscopy, 104(2):83-106,2005.
7. P.J. Dhrymes. Econometrics-Statistical Foundations and Applications. New York: Harper and Row, 1970.
8. S.L. Fagin. Recursive linear regression theory, optimal filter theory, and error analyses of optimal systems. IEEE Intemtional Convention Record, 12(Part 1):216-240, 1964.
9. V.V. Fedorov. Theory of Optimal Experiments. New York: Academic Press, 1972.
10. R.A. Fisher. Theory of statistical estimation. Proceedings Cambridge Philosophical Society, 12:700-725, 1925.
11. R.A. Fisher. Statistical Methods for Research Workers. Edinburgh: Oliver and Boyd, 1970.
12. P.E. Gill, W. Murray, and M.H. Wright. Practical Optimization. London: Academic Press, 1981.
13. A.S. Goldberger. Econometric Theory. New York: Wiley, 1964.
14. G.C. Goodwin and R.L. Payne. Dynamic System Idenrification-Experiment Design and Data Analysis. New York: Academic Press, 1977.
15. R.A. Horn and C.R. Johnson. Matrix Analysis. Cambridge: Cambridge University Press, 1992.
16. R.I. Jennrich. Asymptotic properties of non-linear least squares estimators. The Annals of Mathematical Statistics, 40(2):633-643, 1969.
17. R.I. Jennrich. An Introduction to Computational Statistics: Regression Analysis. Englewood Cliffs, NJ: Rentice-Hall, 1995.
18. R.I. Jennrich and R.H. Moore. Maximum likelihood estimation by means of nonlinear least squares. In Proceedings of the Statistical Computing Section of the American Statistical Association, pages 57-65, 1975.
19. N.L. Johnson, S. Kotz, and N. Balakrishnan. Discrete Multivariate Distributions. New York: Wiley, 1996.
20. K. Knight. Mathematical Statistics. Boca Raton: Chapman and HalVCRC, 2000.
21. S. Kotz, N. Balakrishnan, and N.L. Johnson. Continuous Multivariate Distributions, Vol. I: Models and Applications. New York: Wiley, 2000.
22. E.L. Lehmann and G. Casella. Theory of Point Estimation. New York: Springer, 2001.
23. D.W. Marquardt. An algorithm for least-squares estimation of nonlinear parameters. Journal of the Society for Industrial and Applied Mathematics, 11(2):431-441, 1963.
24. A.M. Mood, F.A. Graybill, and D.C. Boes. Introduction to the Theory of Statistics. Auckland: McGraw-Hill, 3rd edition, 1987.
25. A. Papoulis and S.U. Pillai. Probability, Random Variables, and Stochastic Processes. Boston: McGraw-Hill, 2002.
26. C.R. Rao. Linear Statistical Inference and its Applications. New York: Wiley, 2002.
27. L.L. Scharf. Statistical Signal Processing: Detection, Estimation, and Time Series Analysis. Reading: Addison-Wesley, 1991.
28. G.A.F. Seber and C.J. Wild. Nonlinear Regression. New York: Wiley, 1989.
29. A. Stuart and J. K. Ord. Kendall's Advanced Theory of Statistics, Vol. I: Distribution Theory. London: Arnold, 1994.
30. A. Stuart, J.K. Ord, and S. Arnold. Kendall's Advanced Theory of Statistics, Vol. 2A: Classical Inference and the Linear Model. London: Arnold, 1999.
31. A. van den Bos. A Cram&-Rao lower bound for complex parameters. IEEE Transactions on Signul Processing, 42(10):2859, 1994.
32. A. van den Bos. The real-complex normal distribution. IEEE Transactions on Information Theory, 44(4):1670-1672, 1998.
33. A. Wald. The fitting of straight lines if both varables are subject to error. The Annuls of Mathematical Statistics, 11:284-300, 1940.
34. S. Zacks. The Theory of Statistical Inference. New York: Wiley, 1971.
35. S. Zacks. Parametric Statistical Inference: Basic Theory and Modem Approaches. Oxford: Pergamon Press, 1981.
36. P.W. Zehna. Invariance of maximum likelihoode stimators. The Annals of Mathematica1 Statistics, 37:744, 1966.
37. F. Zhang. Matrix Theory: Basic Results and Techniques. New York: Springer, 1999.