Multivariate Statistical Process Control

Why do some societies manage to control corruption so that it manifests itself only occasionally, while other societies remain systemically corrupt? This book is about how societies reach that point when integrity becomes the norm and corruption the exception in regard to how public affairs are run and public resources are allocated. It primarily asks what lessons we have learned from historical and contemporary experiences in developing corruption control, which can aid policy-makers and civil societies in steering and expediting this process. Few states now remain without either an anticorruption agency or an Ombudsman, yet no statistical evidence can be found that they actually induce progress. Using both historical and contemporary studies and easy to understand statistics, Alina Mungiu-Pippidi looks at how to diagnose, measure and change governance so that those entrusted with power and authority manage to defend public resources.

Why do some societies manage to control corruption so that it manifests itself only occasionally, while other societies remain systemically corrupt? This book is about how societies reach that point when integrity becomes the norm and corruption the exception in regard to how public affairs are run and public resources are allocated. It primarily asks what lessons we have learned from historical and contemporary experiences in developing corruption control, which can aid policy-makers and civil societies in steering and expediting this process. Few states now remain without either an anticorruption agency or an Ombudsman, yet no statistical evidence can be found that they actually induce progress. Using both historical and contemporary studies and easy to understand statistics, Alina Mungiu-Pippidi looks at how to diagnose, measure and change governance so that those entrusted with power and authority manage to defend public resources.

Originally published in 1973, this book deals with the development of financial institutions, changes in methods of finance and the role of monetary control in socialist economic management. The structure and activity of financial institutions were deliberately adapted to changes in policy planning techniques used in socialist economies. Dr Podolski provides a systematic description of this process of adaptation, based mainly on the example of the Polish economy, on which he has gathered a large amount of statistical data. Throughout the book international comparisons are made. Soviet experience is particularly relevant, but attempts are also made at comparisons with Western economies. Dr Podolski's study sheds a great deal of light on the role of the credit system in a centralised economy and will be of value to anyone with an interest in banking and monetary policy, or Soviet and Eastern Bloc economies.

In this book, Andrew Harvey sets out to provide a unified and comprehensive theory of structural time series models. Unlike the traditional ARIMA models, structural time series models consist explicitly of unobserved components, such as trends and seasonals, which have a direct interpretation. As a result the model selection methodology associated with structural models is much closer to econometric methodology. The link with econometrics is made even closer by the natural way in which the models can be extended to include explanatory variables and to cope with multivariate time series. From the technical point of view, state space models and the Kalman filter play a key role in the statistical treatment of structural time series models. The book includes a detailed treatment of the Kalman filter. This technique was originally developed in control engineering, but is becoming increasingly important in fields such as economics and operations research. This book is concerned primarily wi

In this book, Andrew Harvey sets out to provide a unified and comprehensive theory of structural time series models. Unlike the traditional ARIMA models, structural time series models consist explicitly of unobserved components, such as trends and seasonals, which have a direct interpretation. As a result the model selection methodology associated with structural models is much closer to econometric methodology. The link with econometrics is made even closer by the natural way in which the models can be extended to include explanatory variables and to cope with multivariate time series. From the technical point of view, state space models and the Kalman filter play a key role in the statistical treatment of structural time series models. The book includes a detailed treatment of the Kalman filter. This technique was originally developed in control engineering, but is becoming increasingly important in fields such as economics and operations research. This book is concerned primarily wi

This 1978 study examines the new working class of scientists, white collar professionals, and technicians that has emerged in advanced in industrial societies and considers its role in the political process. Professor Low-Beer examines the lives of a sample group of Italian electronics technicians, as theirs had been the most militant profession in Italy. Although Low-Beer warns against quick conclusions regarding the broader political significance of such desires, vivid quotations from interviews illustrate the principal longing indicated by his statistical analyses: for more control over work situation. Whilst describing the lifestyles and class imagery among the technicians, the author compares them to other groups, and concludes that strike participation is to be explained by the political backgrounds of workers, and only secondarily by organizational factors. Professor Low-Beer also analyses the significance of the increase that had occurred in the number of professionals in techn