TERENCE MILLS is Professor of Applied Statistics and Econometrics at Loughborough University, UK, having previously held professorial appointments at City University Business School and the University of Hull, UK. He has over 200 publications in a wide range of areas, including The Palgrave Handbook of Econometrics, Volumes 1 and 2 (co-edited with Kerry Patterson).

• Prolegomenon: A Personal Perspective and an Explanation of the Structure of the Book Yule and Hooker and the Concepts of Correlation and Trend Schuster, Beveridge and Periodogram Analysis Detrending and the Variate Difference Method: Student, Pearson and their Critics Nonsense Correlations, Random Shocks and Induced Cycles: Yule, Slutzky and Working Periodicities in Sunspots and Air Pressure: Yule, Walker and the Modelling of Superposed Fluctuations and Disturbances The Formal Modelling of Stationary Time Series: Wold and the Russians Generalizations and Extensions of Stationary Autoregressive Models: from Kendall to Box and Jenkins Statistical Inference, Estimation and Model Building for Stationary Time Series Dealing with Nonstationarity: Detrending, Smoothing and Differencing Forecasting Nonstationary Time Series Modelling Dynamic Relationships Between Time Series Spectral Analysis of Time Series: the Periodogram Revisited and Reclaimed Tacking Seasonal Patterns in Time Series Emerging Themes The Scene is Set References

TERENCE MILLS is Professor of Applied Statistics and Econometrics at Loughborough University, UK, having previously held professorial appointments at City University Business School and the University of Hull, UK. He has over 200 publications in a wide range of areas, including The Palgrave Handbook of Econometrics, Volumes 1 and 2 (co-edited with Kerry Patterson).

• Prolegomenon: A Personal Perspective and an Explanation of the Structure of the Book Yule and Hooker and the Concepts of Correlation and Trend Schuster, Beveridge and Periodogram Analysis Detrending and the Variate Difference Method: Student, Pearson and their Critics Nonsense Correlations, Random Shocks and Induced Cycles: Yule, Slutzky and Working Periodicities in Sunspots and Air Pressure: Yule, Walker and the Modelling of Superposed Fluctuations and Disturbances The Formal Modelling of Stationary Time Series: Wold and the Russians Generalizations and Extensions of Stationary Autoregressive Models: from Kendall to Box and Jenkins Statistical Inference, Estimation and Model Building for Stationary Time Series Dealing with Nonstationarity: Detrending, Smoothing and Differencing Forecasting Nonstationary Time Series Modelling Dynamic Relationships Between Time Series Spectral Analysis of Time Series: the Periodogram Revisited and Reclaimed Tacking Seasonal Patterns in Time Series Emerging Themes The Scene is Set References

TERENCE MILLS is Professor of Applied Statistics and Econometrics at Loughborough University, UK, having previously held professorial appointments at City University Business School and the University of Hull, UK. He has over 200 publications in a wide range of areas, including The Palgrave Handbook of Econometrics, Volumes 1 and 2 (co-edited with Kerry Patterson).

• Prolegomenon: A Personal Perspective and an Explanation of the Structure of the Book Yule and Hooker and the Concepts of Correlation and Trend Schuster, Beveridge and Periodogram Analysis Detrending and the Variate Difference Method: Student, Pearson and their Critics Nonsense Correlations, Random Shocks and Induced Cycles: Yule, Slutzky and Working Periodicities in Sunspots and Air Pressure: Yule, Walker and the Modelling of Superposed Fluctuations and Disturbances The Formal Modelling of Stationary Time Series: Wold and the Russians Generalizations and Extensions of Stationary Autoregressive Models: from Kendall to Box and Jenkins Statistical Inference, Estimation and Model Building for Stationary Time Series Dealing with Nonstationarity: Detrending, Smoothing and Differencing Forecasting Nonstationary Time Series Modelling Dynamic Relationships Between Time Series Spectral Analysis of Time Series: the Periodogram Revisited and Reclaimed Tacking Seasonal Patterns in Time Series Emerging Themes The Scene is Set References