The authors systematically develop a state-of-the-art analysis and modeling of time series. … this book is well organized and well written. The authors present various statistical models for engineers to solve problems in time series analysis. Readers no doubt will learn state-of-the-art techniques from this book.-Hsun-Hsien Chang, Computing Reviews, March 2012My favorite chapters were on dynamic linear models and vector AR and vector ARMA models.-William Seaver, Technometrics, August 2011… a very modern entry to the field of time-series modelling, with a rich reference list of the current li
Recent developments in the time-domain analysis of time series are reviewed. The concept of dynamica...
I developed interest in structural time series analysis, which is the subject matter of this book, b...
This book presents essential tools for modelling non-linear time series. The first part of the book ...
This book is aimed at the reader who wishes to gain a working knowledge of time series and forecasti...
Includes bibliographical references (pages 197-202) and index.Thinking time-serially -- Fundamental ...
The field of statistics not only affects all areas of scientific activity, but also many other matte...
A time series is a chronological sequence of observations on a particular variable. Usually the obse...
The analysis and modeling of time series is of the utmost importance in various fields of applicatio...
""In this book the author gives a detailed account of estimation, identification methodologies for u...
Temporal and spatiotemporal data form an inherent fabric of the society as we are faced with streams...
""There is scarcely a standard technique that the reader will find left out … this book is highly re...
Time Series Analysis (TSA) and Applications offers a dense content of current research and developme...
This text presents modern developments in time series analysis and focuses on their application to e...
The paper reviews the statistical methods of time series analysis used in a selection of papers from...
Vance Martin, Stan Hurn and David Harris New York: Cambridge University Press, 2013, 887 page
Recent developments in the time-domain analysis of time series are reviewed. The concept of dynamica...
I developed interest in structural time series analysis, which is the subject matter of this book, b...
This book presents essential tools for modelling non-linear time series. The first part of the book ...
This book is aimed at the reader who wishes to gain a working knowledge of time series and forecasti...
Includes bibliographical references (pages 197-202) and index.Thinking time-serially -- Fundamental ...
The field of statistics not only affects all areas of scientific activity, but also many other matte...
A time series is a chronological sequence of observations on a particular variable. Usually the obse...
The analysis and modeling of time series is of the utmost importance in various fields of applicatio...
""In this book the author gives a detailed account of estimation, identification methodologies for u...
Temporal and spatiotemporal data form an inherent fabric of the society as we are faced with streams...
""There is scarcely a standard technique that the reader will find left out … this book is highly re...
Time Series Analysis (TSA) and Applications offers a dense content of current research and developme...
This text presents modern developments in time series analysis and focuses on their application to e...
The paper reviews the statistical methods of time series analysis used in a selection of papers from...
Vance Martin, Stan Hurn and David Harris New York: Cambridge University Press, 2013, 887 page
Recent developments in the time-domain analysis of time series are reviewed. The concept of dynamica...
I developed interest in structural time series analysis, which is the subject matter of this book, b...
This book presents essential tools for modelling non-linear time series. The first part of the book ...