State Space Methods for Time Series Analysis: Theory, Applications And Software. Jose Casals, Alfredo Garica‐Hiernaux, Miguel Jerez, Sonia Sotoca, and A. Alexandre Trindade, Boca Raton: CRC Press

DOI10.1111/BIOM.12981zbMATH Open1431.00017OpenAlexW2969286814MaRDI QIDQ5214538

Ravishanker, Nalini

Publication date: 7 February 2020

Published in: Biometrics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1111/biom.12981

Mathematics Subject Classification ID

Applications of statistics to economics (62P20) Inference from stochastic processes and prediction (62M20) Software, source code, etc. for problems pertaining to statistics (62-04) Time series, auto-correlation, regression, etc. in statistics (GARCH) (62M10) Economic time series analysis (91B84) Research exposition (monographs, survey articles) pertaining to game theory, economics, and finance (91-02) External book reviews (00A17)

Related Items (2)

Book review of: J. Casals et al., State-space methods for time series analysis. Theory, applications and software ⋮ State–Space Methods for Time Series Analysis: Theory, Applications and Software, by Jose Casals, Alfredo Garcia‐Hiernaux, Miguel Jerez, Sonia Sotoca, and A. Alexandre Trindade. Published by CRC Press, 2016. Total number of pages: 270. ISBN: 9781482219593

This page was built for publication: State Space Methods for Time Series Analysis: Theory, Applications And Software. Jose Casals, Alfredo Garica‐Hiernaux, Miguel Jerez, Sonia Sotoca, and A. Alexandre Trindade, Boca Raton: CRC Press