Spatial AutoRegression (SAR) model : parameter estimation techniques
Baris M. Kazar, Mete Celik (Springer, 2012)
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| This book explores computational structure of the exact and approximate spatial autoregression (SAR) model solutions. Estimation of the parameters of the SAR model using Maximum Likelihood (ML) theory is computationally very expensive because of the need to compute the logarithm of the determinant (log-det) of a large matrix in the log-likelihood function. |
 Spatial AutoRegression (SAR) Model.pdf :: Unduh
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| No. Panggil : | e20406472 |
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| Penerbitan : | New York: Springer, 2012 |
| Sumber Pengatalogan: | LibUI eng rda |
| Tipe Konten: | text |
| Tipe Media: | computer |
| Tipe Pembawa: | online resource |
| Deskripsi Fisik: | |
| Tautan: | http://link.springer.com/book/10.1007%2F978-1-4614-1842-9 |
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| No. Panggil | No. Barkod | Ketersediaan |
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| e20406472 | TERSEDIA |
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| Tidak ada ulasan pada koleksi ini: 20406472 |
