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

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.

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

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

Models for Dependent Time Series  

Posted by interes at July 19, 2015
Models for Dependent Time Series

Models for Dependent Time Series by Granville Tunnicliffe Wilson and Marco Reale
English | 2015 | ISBN: 1584886501 | 340 pages | PDF | 6,8 MB

Multiple Time Series  

Posted by fdts at June 9, 2015
Multiple Time Series

Multiple Time Series
by Edward James Hannan
English | 1970 | ISBN: 0471348058 | 536 pages | DJVU | 1.92 MB

Modelling Trends and Cycles in Economic Time Series  

Posted by ph4rr3l at Dec. 10, 2011
Modelling Trends and Cycles in Economic Time Series

Modelling Trends and Cycles in Economic Time Series by: Terence C. Mills
Palgrave Macmillan (September 17, 2003) | ISBN: 1403902089 | 180 pages | PDF | 3 MB

Modelling trends and cycles in economic time series has a long history, with the use of linear trends and moving averages forming the basic tool kit of economists until the 1970s. Several developments in econometrics then led to an overhaul of the techniques used to extract trends and cycles from time series. Terence Mills introduces these various approaches to allow students and researchers to appreciate the variety of techniques and the considerations that underpin their choice for modelling trends and cycles.

Data Mining In Time Series Databases  eBooks & eLearning

Posted by Sonora at Nov. 12, 2006
Data Mining In Time Series Databases

Data Mining In Time Series Databases
edited by Mark Last, Abraham Kandel, Horst Bunke
World Scientific | ISBN 981-238-290-9 | 2004 | PDF | 192 pages | 2.5 MB

Adding the time dimension to real-world databases produces Time Series Databases (TSDB) and introduces new aspects and difficulties to data mining and knowledge discovery. This book covers the state-of-the-art methodology for mining time series databases. The novel data mining methods presented in the book include techniques for efficient segmentation, indexing, and classification of noisy and dynamic time series. A graph-based method for anomaly detection in time series is described and the book also studies the implications of a novel and potentially useful representation of time series as strings. The problem of detecting changes in data mining models that are induced from temporal databases is additionally discussed.

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.

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