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Abstract
Recently Rao and Zhao (1993) proved the consistency of the least squares estimators of the undamped superimposed exponential signals model under the assumption of the normal distribution of the error terms. The main aim of this note is to prove the consistency of the least squares estimators of the above mentioned model when the error distributions are not necessarily normal.
1 The work is partly supported by a Grant (No: SR/OY/M-06/93) of the Department of Science and Technology, Govt. of India.
2 The work is partly supported by the National Board of Higher Mathematics, Dept of Atomic Energy, Govt. of India.
1 The work is partly supported by a Grant (No: SR/OY/M-06/93) of the Department of Science and Technology, Govt. of India.
2 The work is partly supported by the National Board of Higher Mathematics, Dept of Atomic Energy, Govt. of India.
Notes
1 The work is partly supported by a Grant (No: SR/OY/M-06/93) of the Department of Science and Technology, Govt. of India.
2 The work is partly supported by the National Board of Higher Mathematics, Dept of Atomic Energy, Govt. of India.