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Multivariate Modelling of Non Stationary Economic Time Series

This book examines conventional time series in the context of stationary data prior to a discussion of cointegration, with a focus on;

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Time Series Modelling in Earth Sciences

Including the latest theories and applications of time series modelling, this book is intended for students, faculties and professionals;

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Modelling Non-Stationary Economic Time Series

Co-integration, equilibrium and equilibrium correction are key concepts in modern applications of ec;...

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Modelling Non-Stationary Economic Time Series

Co-integration, equilibrium and equilibrium correction are key concepts in modern applications ;...

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Non-Gaussian Autoregressive-Type Time Series

-series models into different groups such as linear stationary models with non-Gaussian innovations, linear stationary models with non-Gaussian;

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Multivariate Time Series Analysis and Applications

analysis course. It is a must-have for anyone studying time series analysis and is also relevant for students in economics, biostatistics, and;

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Multivariate Time Series Analysis

illustrate related computation and analyses. Featuring the techniques and methodology of multivariate linear time series, stationary VAR models, VAR;

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Time Series Econometrics

of autoregressive-moving average (ARMA) models and their relations to the covariance structure. The book then moves on to non-stationary time series;

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An Introduction to Applied Econometrics

central distinction between stationary and nonstationary time series, which is of crucial importance in many areas of analysis, especially;

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Modelling Nonlinear Economic Time Series

This book contains an extensive up-to-date overview of nonlinear time series models and their application to modelling economic;

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Multivariate Geostatistics

chapters regarding normal kriging and cokriging have been restructured and the section on non-stationary geostatistics has been entirely rewritten.;

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Modelling the Probability Distribution of Stock Price Changes

financial time series such as volume-volatility relationship, financial leverage effect, seasonality, and non normal probability distributions.;

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Personalized Predictive Modeling in Type 1 Diabetes

non-linear dynamics in glucose metabolism in diabetes, and which exhibits good generalization performance under stationary and non-stationary;

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Time Series Models for Business and Economic Forecasting

exercises. Chapters examine the key features of economic time series, univariate time series analysis, trends, seasonality, aberrant observations;

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Time Series Models for Business and Economic Forecasting

exercises. Chapters examine the key features of economic time series, univariate time series analysis, trends, seasonality, aberrant observations;

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Multidimensional Stationary Time Series

This book gives a brief survey of the theory of multidimensional (multivariate), weakly stationary time series, with emphasis on dimension;

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Modelling Nonlinear Economic Relationships

This volume explains recent theoretical developments in the econometric modelling of relationships between different statistical series;

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Time Series Analysis in Climatology and Related Sciences

This book gives the reader the basic knowledge of the theory of random processes necessary for applying to study climatic time series. It;

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Forecasting Economic Time Series

relaxed. Despite the difficulty of proceeding formally when models are mis-specified in unknown ways for non-stationary processes that are subject;

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Forecasting Economic Time Series

relaxed. Despite the difficulty of proceeding formally when models are mis-specified in unknown ways for non-stationary processes that are subject;

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Modelling Trends and Cycles in Economic Time Series

Modelling trends and cycles in economic time series has a long history, with the use of linear trends and moving averages forming the basic;

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Time Series Techniques for Economists

The application of time series techniques in economics has become increasingly important, both for forecasting purposes and in the;

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Dynamic Flowsheet Simulation of Solids Processes

interconnected solids processing units, but also covering stationary simulation. The book includes the modelling of solids processing units, for example;

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Dynamic Flowsheet Simulation of Solids Processes

interconnected solids processing units, but also covering stationary simulation. The book includes the modelling of solids processing units, for example;

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Modelling Trends and Cycles in Economic Time Series

Modelling trends and cycles in economic time series has a long history, with the use of linear trends and moving averages forming the basic;

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Modelling Trends and Cycles in Economic Time Series

Modelling trends and cycles in economic time series has a long history, with the use of linear trends and moving averages forming the basic;

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