Time Series: A Biostatistical Introduction

Recursive Estimation and Time-Series Analysis: An Introduction for the Student and Practitioner (repost)

Peter C. Young, "Recursive Estimation and Time-Series Analysis: An Introduction for the Student and Practitioner"
English | 2011 | ISBN: 3642219802 | 520 pages | PDF | 5,7 MB
Recursive Estimation and Time-Series Analysis: An Introduction for the Student and Practitioner (repost)

Peter C. Young, "Recursive Estimation and Time-Series Analysis: An Introduction for the Student and Practitioner"
English | 2011 | ISBN: 3642219802 | 520 pages | PDF | 5,7 MB

This is a revised version of the 1984 book of the same name but considerably modified and enlarged to accommodate the developments in recursive estimation and time series analysis that have occurred over the last quarter century.
Recursive Estimation and Time-Series Analysis: An Introduction for the Student and Practitioner (repost)

Peter C. Young, "Recursive Estimation and Time-Series Analysis: An Introduction for the Student and Practitioner"
English | 2011 | ISBN: 3642219802 | 520 pages | PDF | 5,7 MB

This is a revised version of the 1984 book of the same name but considerably modified and enlarged to accommodate the developments in recursive estimation and time series analysis that have occurred over the last quarter century.

Multivariate Modelling of Non-Stationary Economic Time Series  eBooks & eLearning

Posted by AvaxGenius at May 9, 2017
Multivariate Modelling of Non-Stationary Economic Time Series

Multivariate Modelling of Non-Stationary Economic Time Series By John Hunter, Simon P. Burke, Alessandra Canepa
English | PDF | 2017 | 508 Pages | ISBN : 0230243304 | 5.3 MB

This book examines conventional time series in the context of stationary data prior to a discussion of cointegration, with a focus on multivariate models. The authors provide a detailed and extensive study of impulse responses and forecasting in the stationary and non-stationary context, considering small sample correction, volatility and the impact of different orders of integration.

Handbook of Discrete-Valued Time Series  eBooks & eLearning

Posted by nebulae at Feb. 21, 2017
Handbook of Discrete-Valued Time Series

Richard A. Davis, "Handbook of Discrete-Valued Time Series"
English | ISBN: 1466577738 | 2016 | 484 pages | PDF | 9 MB

The Econometric Analysis of Seasonal Time Series  eBooks & eLearning

Posted by roxul at Nov. 12, 2016
The Econometric Analysis of Seasonal Time Series

Eric Ghysels, Denise R. Osborn, "The Econometric Analysis of Seasonal Time Series"
English | ISBN: 0521562600, 052156588X | 2001 | 252 pages | PDF | 12 MB

SYSTEM IDENTIFICATION with MATLAB. Non Linear Models, ODEs and Time Series  eBooks & eLearning

Posted by AlenMiler at Oct. 29, 2016
SYSTEM IDENTIFICATION with MATLAB. Non Linear Models, ODEs and Time Series

SYSTEM IDENTIFICATION with MATLAB. Non Linear Models, ODEs and Time Series by Marvin L.
English | 23 Oct. 2016 | ISBN: 1539692310 | 207 Pages | PDF | 1.84 MB

In System Identification Toolbox software, MATLAB represents linear systems as model objects. Model objects are specialized data containers that encapsulate model data and other attributes in a structured way.
Natural Time Analysis: The New View of Time: Precursory Seismic Electric Signals, Earthquakes and other Complex Time Series

Panayiotis Varotsos, Nicholas V. Sarlis, Efthimios S. Skordas - Natural Time Analysis: The New View of Time: Precursory Seismic Electric Signals, Earthquakes and other Complex Time Series
Published: 2011-08-19 | ISBN: 364216448X, 3642271340 | PDF | 452 pages | 34.25 MB

Nonlinear Modeling of Solar-Radiation and Wind-Speed Time Series  eBooks & eLearning

Posted by Underaglassmoon at June 26, 2016
Nonlinear Modeling of Solar-Radiation and Wind-Speed Time Series

Nonlinear Modeling of Solar-Radiation and Wind-Speed Time Series
Springer | Green Energy | July 23, 2016 | ISBN-10: 3319387634 | 98 pages | pdf | 5.72 mb

Authors: Fortuna, Luigi, Nunnari, Giuseppe, Nunnari, Silvia
Shows the researcher and practising engineer how to use time-series forecasting to help integrate intermittent sources of renewable power into the grid
Teaches students the essentials of applied time-series analysis
Provides the reader with software package and data set that helps put the methods described into practice

Compression-Based Methods of Statistical Analysis and Prediction of Time Series  eBooks & eLearning

Posted by Underaglassmoon at May 25, 2016
Compression-Based Methods of Statistical Analysis and Prediction of Time Series

Compression-Based Methods of Statistical Analysis and Prediction of Time Series
Springer | Security and Cryptology | June 20, 2016 | ISBN-10: 3319322516 | 145 pages | pdf | 2.51 mb

Authors: Ryabko, Boris, Astola, Jaakko, Malyutov, Mikhail
Useful for researchers and graduate students in information theory, coding, cryptography, statistics, and computational linguistics
Topics of foundational interest
Describes applications such as attacks on block ciphers and authorship attribution