Time Series: Theory And Methods.

Long‐Memory Time Series: Theory and Methods  eBooks & eLearning

Posted by AvaxGenius at Jan. 30, 2024
Long‐Memory Time Series: Theory and Methods

Long‐Memory Time Series: Theory and Methods by Wilfredo Palma
English | PDF | 2006 | 293 Pages | ISBN : 0470114029 | 36.7 MB

A self-contained, contemporary treatment of the analysis of long-range dependent data
Long-Memory Time Series: Theory and Methods provides an overview of the theory and methods developed to deal with long-range dependent data and describes the applications of these methodologies to real-life time series. Systematically organized, it begins with the foundational essentials, proceeds to the analysis of methodological aspects (Estimation Methods, Asymptotic Theory, Heteroskedastic Models, Transformations, Bayesian Methods, and Prediction), and then extends these techniques to more complex data structures.

Time Series: Theory and Methods, Second Edition  eBooks & eLearning

Posted by AvaxGenius at Nov. 14, 2021
Time Series: Theory and Methods, Second Edition

Time Series: Theory and Methods, Second Edition by Peter J. Brockwell
English | PDF | 1991 | 591 Pages | ISBN : 0387974296 | 38 MB

Time Series: Theory and Methods is a systematic account of linear time series models and their application to the modeling and prediction of data collected sequentially in time.

Time Series: Theory and Methods, Second Edition (Springer Series in Statistics)  eBooks & eLearning

Posted by insetes at Aug. 20, 2020
Time Series: Theory and Methods, Second Edition (Springer Series in Statistics)

Time Series: Theory and Methods, Second Edition (Springer Series in Statistics) By Peter J. Brockwell, Richard A. Davis
2009 | 558 Pages | ISBN: 1441903194 | PDF | 20 MB

Long-memory time series : theory and methods  eBooks & eLearning

Posted by insetes at March 23, 2019
Long-memory time series : theory and methods

Long-memory time series : theory and methods By Wilfredo Palma
2007 | 307 Pages | ISBN: 0470114029 | DJVU | 2 MB

Nonlinear Trending Time Series: Theory and Practice  eBooks & eLearning

Posted by hill0 at Nov. 2, 2024
Nonlinear Trending Time Series: Theory and Practice

Nonlinear Trending Time Series: Theory and Practice
English | 2025 | ISBN: 9811293341 | 274 Pages | PDF (True) | 9 MB

Nonlinear Time Series: Nonparametric and Parametric Methods  eBooks & eLearning

Posted by AvaxGenius at July 30, 2022
Nonlinear Time Series: Nonparametric and Parametric Methods

Nonlinear Time Series: Nonparametric and Parametric Methods by Jianqing Fan, Qiwei Yao
English | PDF | 2003 | 565 Pages | ISBN : 0387261427 | 3.8 MB

This is the first book that integrates useful parametric and nonparametric techniques with time series modeling and prediction, the two important goals of time series analysis. Such a book will benefit researchers and practitioners in various fields such as econometricians, meteorologists, biologists, among others who wish to learn useful time series methods within a short period of time. The book also intends to serve as a reference or text book for graduate students in statistics and econometrics.

Theory and Applications of Time Series Analysis and Forecasting  eBooks & eLearning

Posted by hill0 at April 5, 2023
Theory and Applications of Time Series Analysis and Forecasting

Theory and Applications of Time Series Analysis and Forecasting
English | 2023 | ISBN: 3031141962 | 333 Pages | PDF EPUB (True) | 31 MB

Characterizing Interdependencies of Multiple Time Series: Theory and Applications  eBooks & eLearning

Posted by Jeembo at Jan. 14, 2018
Characterizing Interdependencies of Multiple Time Series: Theory and Applications

Characterizing Interdependencies of Multiple Time Series: Theory and Applications by Yuzo Hosoya, Kosuke Oya, Taro Takimoto, Ryo Kinoshita
English | 2017 | ISBN: 9811064350 | 133 Pages | PDF | 6.4 MB

This book introduces academic researchers and professionals to the basic concepts and methods for characterizing interdependencies of multiple time series in the frequency domain.
Characterizing Interdependencies of Multiple Time Series: Theory and Applications

Characterizing Interdependencies of Multiple Time Series: Theory and Applications by Yuzo Hosoya, Kosuke Oya, Taro Takimoto, Ryo Kinoshita
English | 2017 | ISBN: 9811064350 | 133 Pages | PDF | 6.4 MB

This book introduces academic researchers and professionals to the basic concepts and methods for characterizing interdependencies of multiple time series in the frequency domain.

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

Posted by AvaxGenius at Nov. 16, 2021
Compression-Based Methods of Statistical Analysis and Prediction of Time Series

Compression-Based Methods of Statistical Analysis and Prediction of Time Series by Boris Ryabko
English | PDF(True) | 2016 | 153 Pages | ISBN : 3319322516 | 2.5 MB

Universal codes efficiently compress sequences generated by stationary and ergodic sources with unknown statistics, and they were originally designed for lossless data compression. In the meantime, it was realized that they can be used for solving important problems of prediction and statistical analysis of time series, and this book describes recent results in this area.