Add to ORKGIncludes bibliographical references (pages 197-202) and index.Thinking time-serially -- Fundamental concepts in time series analysis -- Static time series models and ordinary least squares estimation -- Introducing dynamic time series models -- Autoregressive moving average (arma) models -- Models for integrated and cointegrated data
• Course Objectives: The goal of this course is to introduce basic time series models and to provide...
This book is aimed at the reader who wishes to gain a working knowledge of time series and forecasti...
Much of what economists understand about empirical regularities in macroeconomics and the behavior o...
Theory and application of time series methods in econometrics, including representation theorems, de...
The authors systematically develop a state-of-the-art analysis and modeling of time series. … this b...
Times Series Analysis in the Social Sciences is a practical and highly readable introduction written...
""In this book the author gives a detailed account of estimation, identification methodologies for u...
An accessible introduction to the most current thinking in and practicality of forecasting technique...
""There is scarcely a standard technique that the reader will find left out … this book is highly re...
This book provides a concise introduction to the mathematical foundations of time series analysis, w...
The field of statistics not only affects all areas of scientific activity, but also many other matte...
The course intends to meet two goals. It provides tools for empirical work with time series data and...
This text presents modern developments in time series analysis and focuses on their application to e...
Time series analysis generally referred to any analysis which involved to a time series data. In thi...
This study is concerned with Autoregressive Moving Average (ARMA) models of time series. ARMA models...
• Course Objectives: The goal of this course is to introduce basic time series models and to provide...
This book is aimed at the reader who wishes to gain a working knowledge of time series and forecasti...
Much of what economists understand about empirical regularities in macroeconomics and the behavior o...
Theory and application of time series methods in econometrics, including representation theorems, de...
The authors systematically develop a state-of-the-art analysis and modeling of time series. … this b...
Times Series Analysis in the Social Sciences is a practical and highly readable introduction written...
""In this book the author gives a detailed account of estimation, identification methodologies for u...
An accessible introduction to the most current thinking in and practicality of forecasting technique...
""There is scarcely a standard technique that the reader will find left out … this book is highly re...
This book provides a concise introduction to the mathematical foundations of time series analysis, w...
The field of statistics not only affects all areas of scientific activity, but also many other matte...
The course intends to meet two goals. It provides tools for empirical work with time series data and...
This text presents modern developments in time series analysis and focuses on their application to e...
Time series analysis generally referred to any analysis which involved to a time series data. In thi...
This study is concerned with Autoregressive Moving Average (ARMA) models of time series. ARMA models...
• Course Objectives: The goal of this course is to introduce basic time series models and to provide...
This book is aimed at the reader who wishes to gain a working knowledge of time series and forecasti...
Much of what economists understand about empirical regularities in macroeconomics and the behavior o...