Assessment: Problems, Developments and Statistical Issues

ISBN-13: 9780471956686 / Angielski / Twarda / 1996 / 288 str.

Robin Goldstein; Andrew Lewis; Robin Ed. Goldstein

Opis

Recent books in the Wiley Series in Probability and Statistics Editors Vic Barnett J. Stuart Hunter David W. Scott Geoffrey S. Watson Ralph A. Bradley Joseph B. Kadane Adrian F.M. Smith Nicholas I. Fisher David G. Kendall Jozef L. Teugels Stochastic Geometry and Its Applications Second Edition Dietrich Stoyan, TU Bergakademie Freiberg, Germany Wilfrid S. Kendall, University of Warwick, UK Joseph Mecke, Friedrich-Schiller-Universitat Jena, Germany This standard text makes the results and methods of stochastic geometry and spatial statistics accessible to practitioners and non-theoreticians. The book is also ideal as an introduction to the subject for mathematicians. The exposition is mathematically precise and takes into account the latest results, but in many cases proofs are omitted. Topics covered include the basic theories of point processes, random sets, fibre and surface processes, random tessellations, stereology and the statistical theory of shape. The theory is illustrated by many examples drawn from different branches of science; actual data in the form of images are presented, and their statistical analysis is discussed. As well as being of great interest to statisticians, this treatment of the subject has proved useful to applied scientists working in fields such as geology, biology, microscopy and materials science, and to pure mathematicians working in geometry. 1995 Bayesian Analysis in Statistics and Econometrics. Essays in Honor of Arnold Zellner Donald A. Berry, Duke University Kathryn M. Chaloner, University of Minnesota John K. Geweke, University of Minnesota This volume affords students and professionals in statistics, econometrics, and other fields of statistical applications a unique opportunity to acquaint themselves with important current and future trends in Bayesian analytical theory and practice. Over the course of forty-eight chapters, more than one hundred authors from around the world explore a vast array of practical and theoretical issues. Topics covered include inference, estimation, prediction, regression, linear model, multivariate analysis, model selection and computation. This is a valuable working resource for statisticians, economists, and all those with a professional interest in the Bayesian approach. 1996

Spis treści

The Scope of Assessment (H. Goldstein & T. Lewis).

Assessment: Some Historical Perspectives (G. Sutherland).

Assessment and Learning: Power or Partnership (P. Broadfoot)?

Statistical and Psychometric Models for Assessment (H. Goldstein).

Defining, Setting and Maintaining Standards in Curriculum–Embedded Examinations: Judgemental and Statistical Approaches (M. Cresswell).

Group Differences and Bias in Assessment (H. Goldstein).

Moderation Procedures and the Maintenance of Assessment Standards (T. Lewis).

Errors in Grading and Forensic Issues in Higher Education (D. McLay).

The Use of Assessment to Compare Institutions (J. Gray).

The Statistical Analysis of Institution–Based Data (G. Woodhouse & H. Goldstein).

The Extent and Growth of the Educational Testing in the United States: 1956–1994 (G. Madaus & A. Raczek).

The Integrity of Public Examinations in Developing Countries (V. Greaney & T. Kellaghan).

Large–Scale Assessment Programmes in Different Countries and International Comparisons (L. McLean).

Vocational Assessment (A. Wolf).

Assessment in the Workplace. (R. Vincent).

References.

Index.

O autorze

References Index Harvey Goldstein is the Professor of Statistical Methods at the Institute of Education, University of London. He was previously Head of the Statistics Section at the National Children′s Bureau. He has published widely on survey methodology and the design and analysis of longitudinal studies. Professor Goldstein is a Fellow of the Royal Statistical Society, a Chartered Statistician and an elected Member of the International Statistical Institute. Toby Lewis is the Director of the Centre for Statistics, University of East Anglia and Emeritus Professor of Statistics at the Open University, where he was Professor of Statistics from 1980 to 1986. He was previously Professor of Mathematical Statistics at the University of Hull. Professor Lewis is a Fellow of the Royal Statistical Society, a Chartered Statistician, and an elected Member of the International Statistical Institute.

Blurb

Recent books in the Wiley Series in Probability and Statistics Editors Vic Barnett J. Stuart Hunter David W. Scott Geoffrey S. Watson Ralph A. Bradley Joseph B. Kadane Adrian F.M. Smith Nicholas I. Fisher David G. Kendall Jozef L. Teugels Stochastic Geometry and Its Applications Second Edition Dietrich Stoyan, TU Bergakademie Freiberg, Germany Wilfrid S. Kendall, University of Warwick, UK Joseph Mecke, Friedrich–Schiller–Universität Jena, Germany This standard text makes the results and methods of stochastic geometry and spatial statistics accessible to practitioners and non–theoreticians. The book is also ideal as an introduction to the subject for mathematicians. The exposition is mathematically precise and takes into account the latest results, but in many cases proofs are omitted. Topics covered include the basic theories of point processes, random sets, fibre and surface processes, random tessellations, stereology and the statistical theory of shape. The theory is illustrated by many examples drawn from different branches of science; actual data in the form of images are presented, and their statistical analysis is discussed. As well as being of great interest to statisticians, this treatment of the subject has proved useful to applied scientists working in fields such as geology, biology, microscopy and materials science, and to pure mathematicians working in geometry. 1995 Bayesian Analysis in Statistics and Econometrics. Essays in Honor of Arnold Zellner Donald A. Berry, Duke University Kathryn M. Chaloner, University of Minnesota John K. Geweke, University of Minnesota This volume affords students and professionals in statistics, econometrics, and other fields of statistical applications a unique opportunity to acquaint themselves with important current and future trends in Bayesian analytical theory and practice. Over the course of forty–eight chapters, more than one hundred authors from around the world explore a vast array of practical and theoretical issues. Topics covered include inference, estimation, prediction, regression, linear model, multivariate analysis, model selection and computation. This is a valuable working resource for statisticians, economists, and all those with a professional interest in the Bayesian approach. 1996