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Gaussian and Non-Gaussian Linear Time Series and Random Fields - Springer Series in Statistics Murray Rosenblatt Softcover reprint of the original 1st ed. 2000 edition
Gaussian and Non-Gaussian Linear Time Series and Random Fields - Springer Series in Statistics
Murray Rosenblatt
Much of this book is concerned with autoregressive and moving av erage linear stationary sequences and random fields. Chapter 1 considers the question of reversibility for linear stationary sequences and gives necessary and sufficient conditions for the reversibility.
260 pages, biography
| Mediji | Grāmatas Paperback Book (Grāmata ar mīksto vāku un līmēto muguru) |
| Izlaists | 2012. gada 27. septembris |
| ISBN13 | 9781461270676 |
| Izdevēji | Springer-Verlag New York Inc. |
| Lapas | 247 |
| Izmēri | 155 × 235 × 14 mm · 371 g |
| Valoda | Angļu |
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