The first book to be published on the Theta method, outlining under what conditions the method outperforms other forecasting methods

This book is the first to detail the Theta method of forecasting – one of the most difficult-to-beat forecasting benchmarks, which topped the biggest forecasting competition in the world in 2000: the M3 competition. Written by two of the leading experts in the forecasting field, it illuminates the exact replication of the method and under what conditions the method outperforms other forecasting methods. Recent developments such as multivariate models are also included, as are a series of practical applications in finance, economics, and healthcare. The book also offers practical tools in MS Excel and guidance, as well as provisional access, for the use of R source code and respective packages.

Forecasting with the Theta Method: Theory and Applications includes three main parts. The first part, titled Theory, Methods, Models & Applications details the new theory about the method. The second part, Applications & Performance in Forecasting Competitions, describes empirical results and simulations on the method. The last part roadmaps future research and also include contributions from another leading scholar of the method – Dr. Fotios Petropoulos.

Forecasting with the Theta Method: Theory and Applications is a valuable tool for both academics and practitioners involved in forecasting and respective software development.

The first book to be published on the Theta method, outlining under what conditions the method outperforms other forecasting methods

This book is the first to detail the Theta method of forecasting – one of the most difficult-to-beat forecasting benchmarks, which topped the biggest forecasting competition in the world in 2000: the M3 competition. Written by two of the leading experts in the forecasting field, it illuminates the exact replication of the method and under what conditions the method outperforms other forecasting methods. Recent developments such as multivariate models are also included, as are a series of practical applications in finance, economics, and healthcare. The book also offers practical tools in MS Excel and guidance, as well as provisional access, for the use of R source code and respective packages.

Forecasting with the Theta Method: Theory and Applications includes three main parts. The first part, titled Theory, Methods, Models & Applications details the new theory about the method. The second part, Applications & Performance in Forecasting Competitions, describes empirical results and simulations on the method. The last part roadmaps future research and also include contributions from another leading scholar of the method – Dr. Fotios Petropoulos.

Forecasting with the Theta Method: Theory and Applications is a valuable tool for both academics and practitioners involved in forecasting and respective software development.

This book offers a comprehensive guide to modern day taxation issues. It presents a thorough overview of many of the crucial aspects of applied taxation and current tax systems, and presents evidence that supports taxation as an important policy issue requiring immediate address globally.

Contributions seek to address the core question of how to design a tax policy mix that can serve primarily efficiency, growth and possibly equity goals at a time where fiscal spending, for many economies, is not a viable option. Chapters provide a historical perspective on taxation, then go on to cover aspects of the modern theory of optimal taxation and tax design and provide valuable international perspectives on current tax practices and much required tax reforms. Empirical analysis on taxation and related economic data help the readers to understand how data-based observations and results are linked to the theory of taxation, and more importantly economic growth, before offering appropriate policy prescriptions. This book will be of interest to scholars and practitioners interested in learning more about taxation and why it matters today in the global economy.

The first book to be published on the Theta method, outlining under what conditions the method outperforms other forecasting methods

This book is the first to detail the Theta method of forecasting – one of the most difficult-to-beat forecasting benchmarks, which topped the biggest forecasting competition in the world in 2000: the M3 competition. Written by two of the leading experts in the forecasting field, it illuminates the exact replication of the method and under what conditions the method outperforms other forecasting methods. Recent developments such as multivariate models are also included, as are a series of practical applications in finance, economics, and healthcare. The book also offers practical tools in MS Excel and guidance, as well as provisional access, for the use of R source code and respective packages.

Forecasting with the Theta Method: Theory and Applications includes three main parts. The first part, titled Theory, Methods, Models & Applications details the new theory about the method. The second part, Applications & Performance in Forecasting Competitions, describes empirical results and simulations on the method. The last part roadmaps future research and also include contributions from another leading scholar of the method – Dr. Fotios Petropoulos.

Forecasting with the Theta Method: Theory and Applications is a valuable tool for both academics and practitioners involved in forecasting and respective software development.

The first book to be published on the Theta method, outlining under what conditions the method outperforms other forecasting methods

This book is the first to detail the Theta method of forecasting – one of the most difficult-to-beat forecasting benchmarks, which topped the biggest forecasting competition in the world in 2000: the M3 competition. Written by two of the leading experts in the forecasting field, it illuminates the exact replication of the method and under what conditions the method outperforms other forecasting methods. Recent developments such as multivariate models are also included, as are a series of practical applications in finance, economics, and healthcare. The book also offers practical tools in MS Excel and guidance, as well as provisional access, for the use of R source code and respective packages.

Forecasting with the Theta Method: Theory and Applications includes three main parts. The first part, titled Theory, Methods, Models & Applications details the new theory about the method. The second part, Applications & Performance in Forecasting Competitions, describes empirical results and simulations on the method. The last part roadmaps future research and also include contributions from another leading scholar of the method – Dr. Fotios Petropoulos.

Forecasting with the Theta Method: Theory and Applications is a valuable tool for both academics and practitioners involved in forecasting and respective software development.

This book offers a comprehensive guide to modern day taxation issues. It presents a thorough overview of many of the crucial aspects of applied taxation and current tax systems, and presents evidence that supports taxation as an important policy issue requiring immediate address globally.

Contributions seek to address the core question of how to design a tax policy mix that can serve primarily efficiency, growth and possibly equity goals at a time where fiscal spending, for many economies, is not a viable option. Chapters provide a historical perspective on taxation, then go on to cover aspects of the modern theory of optimal taxation and tax design and provide valuable international perspectives on current tax practices and much required tax reforms. Empirical analysis on taxation and related economic data help the readers to understand how data-based observations and results are linked to the theory of taxation, and more importantly economic growth, before offering appropriate policy prescriptions. This book will be of interest to scholars and practitioners interested in learning more about taxation and why it matters today in the global economy.