In an econometrical production function analysis, It IS more desirable to use a data base consisting of a time series of cross-section samples than using either time-series or cross-section samples separately. A primary rea-son is that data of combining both types are potentially richer in informa
This book presents a novel approach to time series econometrics, which studies the behavior of nonli...
This paper analyses multivariate high frequency financial data using realized covari-ation. We provi...
This paper analyses multivariate high frequency financial data using realized covariation. We provid...
The concepts of analysis of covariance are reviewed by emphasizing that it is just a combination of ...
GREMAQ Place Anatole France 31042 TOULOUSE CEDEX (FRA) (Cahier No 90-04)National audienceHabituellem...
This paper deals with a variety of dynamic issues in the analysis of time-series– cross-section (TSC...
In modern omics research, it is more rule than exception that multiple data sets are collected in a ...
The analysis of covariance (ANCOVA) is a statistical technique used to examine differences between ...
This book provides a wide-ranging account of the literature on co-integration and the modelling of i...
87 p.Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 1970.U of I OnlyRestricted to the U...
In this dissertation we will discuss two topics relevant to statistical analysis. The first is a new...
This article reviews some of the recent methodology developed for the analysis of time series data s...
Variance covariance combination or VAR-COVAR used to reduce error, without certainly what combinatio...
This paper analyses multivariate high frequency financial data using realised covariation. We provid...
On a high-frequency scale the time series are not homogeneous, therefore standard correlation measur...
This book presents a novel approach to time series econometrics, which studies the behavior of nonli...
This paper analyses multivariate high frequency financial data using realized covari-ation. We provi...
This paper analyses multivariate high frequency financial data using realized covariation. We provid...
The concepts of analysis of covariance are reviewed by emphasizing that it is just a combination of ...
GREMAQ Place Anatole France 31042 TOULOUSE CEDEX (FRA) (Cahier No 90-04)National audienceHabituellem...
This paper deals with a variety of dynamic issues in the analysis of time-series– cross-section (TSC...
In modern omics research, it is more rule than exception that multiple data sets are collected in a ...
The analysis of covariance (ANCOVA) is a statistical technique used to examine differences between ...
This book provides a wide-ranging account of the literature on co-integration and the modelling of i...
87 p.Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 1970.U of I OnlyRestricted to the U...
In this dissertation we will discuss two topics relevant to statistical analysis. The first is a new...
This article reviews some of the recent methodology developed for the analysis of time series data s...
Variance covariance combination or VAR-COVAR used to reduce error, without certainly what combinatio...
This paper analyses multivariate high frequency financial data using realised covariation. We provid...
On a high-frequency scale the time series are not homogeneous, therefore standard correlation measur...
This book presents a novel approach to time series econometrics, which studies the behavior of nonli...
This paper analyses multivariate high frequency financial data using realized covari-ation. We provi...
This paper analyses multivariate high frequency financial data using realized covariation. We provid...