Here are statistical methods and procedures to assess data coming from educational systems, including methods for constructing composite indicators, applied measurements, assessment, measurement of the performance of students in Italian Universities, and more.
Here are statistical methods and procedures to assess data coming from educational systems, including methods for constructing composite indicators, a...
Diverse driving forces, processes and actors are responsible for different trends in the development of megacities and large urban areas. Under the dynamics of global change, megacities are themselves changing: On the one hand they are prone to increasing socio-economic vulnerability due to pronounced poverty, socio-spatial and political fragmentation, sometimes with extreme forms of segregation, disparities and conflicts. On the other hand megacities offer positive potential for global transformation, e.g. minimisation of space consumption, highly effective use of resources, efficient...
Diverse driving forces, processes and actors are responsible for different trends in the development of megacities and large urban areas. Under the...
The book presents statistical methods and models that can usefully support the evaluation of educational services and quality of products. The evaluation of educational services, as well as the analysis of judgments and preferences, poses severe methodological challenges because of the presence of the following aspects: the observational nature of the context, which is associated with the problems of selection bias and presence of nuisance factors; the hierarchical structure of the data (multilevel analysis); the multivariate and qualitative nature of the dependent variable; the presence of...
The book presents statistical methods and models that can usefully support the evaluation of educational services and quality of products. The evaluat...
The computer has created new fields in statistic. Numerical and statistical problems that were untackable five to ten years ago can now be computed even on portable personal computers. A computer intensive task is for example the numerical calculation of posterior distributions in Bayesian analysis. The Bootstrap and image analysis are two other fields spawned by the almost unlimited computing power. It is not only the computing power through that has revolutionized statistics, the graphical interactiveness on modern statistical environments has given us the possibility for deeper insight...
The computer has created new fields in statistic. Numerical and statistical problems that were untackable five to ten years ago can now be computed ev...
Developing a system of models and forecasts for the transformation process of former centrally planned economies into market economies, this book outlines a simulation model for the united Germany showing the likely path of the "New Lands" integration into West Germany by the year 2000.
Developing a system of models and forecasts for the transformation process of former centrally planned economies into market economies, this book outl...
The meeting covers theoretical and applied statistics with a heavy emphasis on experimental design. The corresponding approaches are fundamentally based on the idea that a system (object and experiment) has to be described by some mathematical model to make any experimental design reasonable. This proceedings volume consists of three main parts: I. Optimal Design II. Regression Analysis III. Statistical Applications
The meeting covers theoretical and applied statistics with a heavy emphasis on experimental design. The corresponding approaches are fundamentally bas...
Reduced rank regression is widely used in statistics to model multivariate data. In this monograph, theoretical and data analytical approaches are developed for the application of reduced rank regression in multivariate prediction problems. Both classical and Bayesian inference are discussed.
Reduced rank regression is widely used in statistics to model multivariate data. In this monograph, theoretical and data analytical approaches are dev...
One of the main applications of statistical smoothing techniques is nonparametric regression. For the last 15 years there has been a strong theoretical interest in the development of such techniques. Related algorithmic concepts have been a main concern in computational statistics. Smoothing techniques in regression as well as other statistical methods are increasingly applied in biosciences and economics. But they are also relevant for medical and psychological research. Introduced are new developments in scatterplot smoothing and applications in statistical modelling. The treatment of the...
One of the main applications of statistical smoothing techniques is nonparametric regression. For the last 15 years there has been a strong theoretica...
A treatment of regression and state space models with time varying coefficients. The main part of the work deals with testing the null hypothesis of constant regression coefficients against the alternative that they follow a random walk.
A treatment of regression and state space models with time varying coefficients. The main part of the work deals with testing the null hypothesis of c...
In industrial countries there is a strong interest in the international comparison of business data regarding productivity efficiency and competitiveness. This volume presents methods for the statistical analysis of micro- and macrodata of firms and for an international comparison of the aggregates. Case studies referring to specific countries play an important role for the development of economic hypotheses that should be tested at the international level.
In industrial countries there is a strong interest in the international comparison of business data regarding productivity efficiency and competitiven...
