Proceedings, 52nd Session


Book Description




Statistical Practice in Business and Industry


Book Description

This book covers all the latest advances, as well as more established methods, in the application of statistical and optimisation methods within modern industry. These include applications from a range of industries that include micro-electronics, chemical, automotive, engineering, food, component assembly, household goods and plastics. Methods range from basic graphical approaches to generalised modelling, from designed experiments to process control. Solutions cover produce and process design, through manufacture to packaging and delivery, from single responses to multivariate problems.




Analysis of Survey Data


Book Description

This book is concerned with statistical methods for the analysis of data collected from a survey. A survey could consist of data collected from a questionnaire or from measurements, such as those taken as part of a quality control process. Concerned with the statistical methods for the analysis of sample survey data, this book will update and extend the successful book edited by Skinner, Holt and Smith on 'Analysis of Complex Surveys'. The focus will be on methodological issues, which arise when applying statistical methods to sample survey data and will discuss in detail the impact of complex sampling schemes. Further issues, such as how to deal with missing data and measurement of error will also be critically discussed. There have significant improvements in statistical software which implement complex sampling schemes (eg SUDAAN, STATA, WESVAR, PC CARP ) in the last decade and there is greater need for practical advice for those analysing survey data. To ensure a broad audience, the statistical theory will be made accessible through the use of practical examples. This book will be accessible to a broad audience of statisticians but will primarily be of interest to practitioners analysing survey data. Increased awareness by social scientists of the variety of powerful statistical methods will make this book a useful reference.







International Measurement of Disability


Book Description

This volume provides an informed review of the accomplishments of the Washington Group on Disability Statistics (WG) in the provision of international data and statistics on disability. It does so within the context of the UN Convention on the Rights of Persons with Disabilities. The volume includes a description of the development and testing of a short set of questions for Censuses, now used in approximately 29 countries and recommended in the U.N.’s Principles and Recommendations for Population and Housing Censuses: The 2020 Round, which includes disability as a core topic to be collected in censuses. It discusses the experiences of several countries on the use of the WG questions and how this has impacted on national agendas in the area of disability. It follows the development and testing of an extended set of questions for use in national surveys other than censuses and examines the challenges of translation and the importance of generating comparable question sets in different languages and within different cultures. It studies the examination of cognitive testing techniques in a variety of countries, and presents the results of the first round of censuses in 2010 in countries using the six question set. The volume includes discussions of the new development of question modules on a broad range of child disability and functioning, and the environmental contexts of participation that are part of the current work of the WG. In addition, it contains a reflection on the use of the WG’s functionality approach to identifying disabilities by humanitarian agencies to identify disabilities in populations of displaced persons. A thoughtful conclusion addresses what the development of cross-nationally comparable data can mean for the improvement of circumstances for all persons with disabilities.







Causation, Prediction, and Search


Book Description

The authors address the assumptions and methods that allow us to turn observations into causal knowledge, and use even incomplete causal knowledge in planning and prediction to influence and control our environment. What assumptions and methods allow us to turn observations into causal knowledge, and how can even incomplete causal knowledge be used in planning and prediction to influence and control our environment? In this book Peter Spirtes, Clark Glymour, and Richard Scheines address these questions using the formalism of Bayes networks, with results that have been applied in diverse areas of research in the social, behavioral, and physical sciences. The authors show that although experimental and observational study designs may not always permit the same inferences, they are subject to uniform principles. They axiomatize the connection between causal structure and probabilistic independence, explore several varieties of causal indistinguishability, formulate a theory of manipulation, and develop asymptotically reliable procedures for searching over equivalence classes of causal models, including models of categorical data and structural equation models with and without latent variables. The authors show that the relationship between causality and probability can also help to clarify such diverse topics in statistics as the comparative power of experimentation versus observation, Simpson's paradox, errors in regression models, retrospective versus prospective sampling, and variable selection. The second edition contains a new introduction and an extensive survey of advances and applications that have appeared since the first edition was published in 1993.




Statistical Inference from Genetic Data on Pedigrees


Book Description

Annotation While this monograph is not about show dogs or cats, its statistical methods could be applied to tracing the pedigree of these species as well as humans. Thompson (U. of Washington) covers such topics as genetic models, population allele frequencies, kinship/inbreeding coefficients, and Monte Carlo estimation. Includes supporting tables and figures. Suitable as a supplementary text or primary text for advanced students. Lacks an index. c. Book News Inc.







International Handbook of Research in Statistics Education


Book Description

This handbook connects the practice of statistics to the teaching and learning of the subject with contributions from experts in several disciplines. Chapters present current challenges and methods of statistics education in the changing world for statistics and mathematics educators. Issues addressed include current and future challenges in professional development of teachers, use of technology tools, design of learning environments and appropriate student assessments. This handbook presents challenging and inspiring international research perspectives on the history and nature, current issues, and future directions of statistics education and statistics education research.