Statistical Methods For The Evaluation Of University Systems
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Author | : Massimo Attanasio |
Publisher | : Springer Science & Business Media |
Total Pages | : 283 |
Release | : 2011-01-03 |
Genre | : Education |
ISBN | : 3790823759 |
This book presents a collection of statistical methods and procedures to assess data coming from educational systems. The topics examined include: statistical methods for constructing composite indicators, applied measurements, assessment of educational systems, measurement of the performance of the students at Italian universities, and statistical modeling for questionnaire data. Other issues are the implications of introducing different assessment criteria and procedures to the Italian university system.
Author | : Paola Monari |
Publisher | : Springer Science & Business Media |
Total Pages | : 255 |
Release | : 2009-12-07 |
Genre | : Social Science |
ISBN | : 3790823856 |
The book presents statistical methods and models that can usefully support the ev- uation of educational services and quality of products. The contributions collected in this book summarize the work of several researchers from the universities of Bologna, Firenze, Napoli and Padova. The contributions are written with a cons- tent notation and a uni?ed view, and concern methodological advances developed mostly with reference to speci?c problems of evaluation using real data sets. The evaluation of educational services, as well as the analysis of judgements and preferences, poses severe methodological challenges because of the presence of one or more of the following aspects: the observational (non experimental) nature of the context, which is associated with the well-known problems of selection bias and presence of nuisance factors; the hierarchical structure of the data, that entails c- related observations and consideration of effects at different levels of the hierarchy and their interactions (multilevel analysis); the multivariate and qualitative nature of the dependent variable, that requires the use of ad hoc statistical methodologies; the presence of non observable factors, e. g. the satisfaction, calling for the use of latent variables models; the simultaneous presence of components of pleasure and components of uncertainty in the explication of the judgments, that asks for the speci?cation and estimation of mixture models. The ?rst part of the book deals with latent variable models.
Author | : United States. National Aeronautics and Space Administration |
Publisher | : |
Total Pages | : 216 |
Release | : 1978 |
Genre | : |
ISBN | : |
Author | : D.T. Chapman |
Publisher | : Springer Science & Business Media |
Total Pages | : 363 |
Release | : 2012-12-06 |
Genre | : Mathematics |
ISBN | : 9400919603 |
This book contains the proceedings of a workshop, 'Statistical Methods for the Assess ment of Point Source Pollution', held September 12-14, 1988, at the Canada Centre for Inland Waters in Burlington, Ontario, Canada. The objectives of the workshop were to: a) advance the art, science, and application of statistical methods to current water quality issues by stimulating discussions and disseminating ideas and information. The emphasis was on statistical problems associated with monitor ing and controlling discharges from industries and municipalities and assessing the impact of these discharges on receiving water quality, b) provide a forum for managers, engineers, scientists, and statisticians to present and discuss techniques for evaluating water quality data and planning monitoring activities, c) provide a published state-of-the art summary of the application of statistical methods for the assessment of point source discharges and their impact on water qUality. The papers contained in this volume cover a number of topics that are of concern not only for monitoring and assessing point source pollution but also for other environmental problems.
Author | : Zehua Chen |
Publisher | : CRC Press |
Total Pages | : 944 |
Release | : 2013-11-01 |
Genre | : Mathematics |
ISBN | : 0415669863 |
While numerous advanced statistical approaches have recently been developed for quantitative trait loci (QTL) mapping, the methods are scattered throughout the literature. Statistical Methods for QTL Mapping brings together many recent statistical techniques that address the data complexity of QTL mapping. After introducing basic genetics topics and statistical principles, the author discusses the principles of quantitative genetics, general statistical issues of QTL mapping, commonly used one-dimensional QTL mapping approaches, and multiple interval mapping methods. He then explains how to use a feature selection approach to tackle a QTL mapping problem with dense markers. The book also provides comprehensive coverage of Bayesian models and MCMC algorithms and describes methods for multi-trait QTL mapping and eQTL mapping, including meta-trait methods and multivariate sequential procedures. This book emphasizes the modern statistical methodology for QTL mapping as well as the statistical issues that arise during this process. It gives the necessary biological background for statisticians without training in genetics and, likewise, covers statistical thinking and principles for geneticists. Written primarily for geneticists and statisticians specializing in QTL mapping, the book can also be used as a supplement in graduate courses or for self-study by PhD students working on QTL mapping projects.
Author | : Deepak K. Agarwal |
Publisher | : Cambridge University Press |
Total Pages | : 317 |
Release | : 2016-02-24 |
Genre | : Computers |
ISBN | : 1316565130 |
Designing algorithms to recommend items such as news articles and movies to users is a challenging task in numerous web applications. The crux of the problem is to rank items based on users' responses to different items to optimize for multiple objectives. Major technical challenges are high dimensional prediction with sparse data and constructing high dimensional sequential designs to collect data for user modeling and system design. This comprehensive treatment of the statistical issues that arise in recommender systems includes detailed, in-depth discussions of current state-of-the-art methods such as adaptive sequential designs (multi-armed bandit methods), bilinear random-effects models (matrix factorization) and scalable model fitting using modern computing paradigms like MapReduce. The authors draw upon their vast experience working with such large-scale systems at Yahoo! and LinkedIn, and bridge the gap between theory and practice by illustrating complex concepts with examples from applications they are directly involved with.
Author | : |
Publisher | : |
Total Pages | : 732 |
Release | : 1978 |
Genre | : Industrial engineering |
ISBN | : |
Author | : |
Publisher | : |
Total Pages | : 748 |
Release | : 2001 |
Genre | : Education |
ISBN | : |
Author | : |
Publisher | : |
Total Pages | : 1064 |
Release | : 1992 |
Genre | : Medicine |
ISBN | : |
Author | : |
Publisher | : |
Total Pages | : 776 |
Release | : 1989 |
Genre | : Medicine |
ISBN | : |