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.

Long-Memory Time Series: Theory and Methods by Wilfredo Palma  eBooks & eLearning

Posted by Free butterfly at Jan. 19, 2015
Long-Memory Time Series: Theory and Methods by Wilfredo Palma

Long-Memory Time Series: Theory and Methods by Wilfredo Palma
English | Mar 30, 2007 | ISBN: 0470114029 | 307 Pages | PDF | 9 MB

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.

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
Time Series: Theory and Methods (Springer Series in Statistics) by Peter J. Brockwell

Time Series: Theory and Methods (Springer Series in Statistics) by Peter J. Brockwell
English | 2006 | ISBN: 1441903194, 0387974296, 3540974296 | 589 Pages | PDF | 17 MB

This edition contains a large number of additions and corrections scattered throughout the text, including the incorporation of a new chapter on state-space models. The companion diskette for the IBM PC has expanded into the software package ITSM: An Interactive Time Series Modelling Package for the PC.

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.

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.