Stochastic Models for Time Series
This book presents essential tools for modelling non-linear time series. The first part of the book describes the main standard tools of probability and statistics that directly apply to the time series context to obtain a wide range of modelling possibilities. Functional estimation and bootstrap ar...
Κύριος συγγραφέας: | Doukhan, Paul (Συγγραφέας, http://id.loc.gov/vocabulary/relators/aut) |
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Συγγραφή απο Οργανισμό/Αρχή: | SpringerLink (Online service) |
Μορφή: | Ηλεκτρονική πηγή Ηλ. βιβλίο |
Γλώσσα: | English |
Έκδοση: |
Cham :
Springer International Publishing : Imprint: Springer,
2018.
|
Έκδοση: | 1st ed. 2018. |
Σειρά: | Mathématiques et Applications,
80 |
Θέματα: | |
Διαθέσιμο Online: | Full Text via HEAL-Link |
Παρόμοια τεκμήρια
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Mathematical Foundations of Time Series Analysis A Concise Introduction /
ανά: Beran, Jan, κ.ά.
Έκδοση: (2017) -
Monotone Random Systems Theory and Applications
ανά: Chueshov, Igor, κ.ά.
Έκδοση: (2002) -
Mathematics Inspired by Biology Lectures given at the 1st Session of the Centro Internazionale Matematico Estivo (C.I.M.E.) held in Martina Franca, Italy, June 13-20, 1997 /
ανά: Diekmann, O., κ.ά.
Έκδοση: (1999) -
Singular Random Dynamics Cetraro, Italy 2016 /
ανά: Gubinelli, Massimiliano, κ.ά.
Έκδοση: (2019) -
Stochastic Models, Statistics and Their Applications Dresden, Germany, March 2019 /
Έκδοση: (2019)