This paper studies a semi-linear errors-in-variables model of the form Y i = x$ i ;+ g(T i )+e i , X i =x i +u i (1 i n). The estimators of parameters ;, \_ 2 and of the smooth function g are derived by using the nearest neighbor-generalized least square method. Under some weak conditions, it is sho
Estimation of quantized linear errors-in-variables models
โ Scribed by Vikram Krishnamurthy
- Publisher
- Elsevier Science
- Year
- 1995
- Tongue
- English
- Weight
- 627 KB
- Volume
- 31
- Category
- Article
- ISSN
- 0005-1098
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โฆ Synopsis
We present an estimation algorithm for dynamic shock-error models (DSEM) given l-bit quantized noisy measurements of the input and output. The algorithm is called the binary series estimation algorithm (BSEA). BSEA is computationally inexpensive, since it involves counting the number of occurrences of particular patterns of zeros and ones in the input and output sequences. It yields consistent parameter estimates that are asymptotically normal.
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