Könyv Gaussian and Non-Gaussian Linear Time Series and Random Fields Murray Rosenblatt

Gaussian and Non-Gaussian Linear Time Series and Random Fields

Nyelv: Angol
Kötés: Kemény kötésű
Elérhetőség: Beszállítói készleten alacsony példányszámban
Küldés 13-18 napon belül
41 425 Ft
The book is concerned with linear time series and random fields in both the Gaussian and especially...

Információk a könyvről

Nyelv
Angol
Kötés
Könyv - Kemény kötésű
Kiadva
1999
oldal
247
EAN
9780387989174
ISBN
038798917X
Enbook ID
01385689
Súly
1220
Méretek
155 x 235 x 20

Teljes leírás

The book is concerned with linear time series and random fields in both the Gaussian and especially the non-Gaussian context. The principal focus is on autoregressive moving average models and analogous random fields. Probabilistic and statistical questions are both discussed. The Gaussian models are contrasted with noncausal or noninvertible (nonminimum phase) non-Gaussian models which can have a much richer structure than Gaussian models. The book deals with problems of prediction (which can have a nonlinear character) and estimation. New results for nonminimum phase non-Gaussian processes are exposited and open questions are noted. The book is intended as a text for graduate students in statistics, mathematics, engineering, the natural sciences and economics. An initial background in probability theory and statistics is suggested. Notes on background, history and open problems are given at the end of the book.

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