Proceedings of the Section on Bayesian Statistical Science

Author: American Statistical Association. Section on Bayesian Statistical Science



Category: Bayesian statistical decision theory

Page: 71

View: 554

New Serial Titles




Category: Periodicals


View: 310

A union list of serials commencing publication after Dec. 31, 1949.

Sample Surveys

Author: Calyampudi Radhakrishna Rao

Publisher: Elsevier


Category: Mathematics

Page: 642

View: 507

This new handbook contains the most comprehensive account of sample surveys theory and practice to date. It is a second volume on sample surveys, with the goal of updating and extending the sampling volume published as volume 6 of the Handbook of Statistics in 1988. The present handbook is divided into two volumes (29A and 29B), with a total of 41 chapters, covering current developments in almost every aspect of sample surveys, with references to important contributions and available software. It can serve as a self contained guide to researchers and practitioners, with appropriate balance between theory and real life applications. Each of the two volumes is divided into three parts, with each part preceded by an introduction, summarizing the main developments in the areas covered in that part. Volume 1 deals with methods of sample selection and data processing, with the later including editing and imputation, handling of outliers and measurement errors, and methods of disclosure control. The volume contains also a large variety of applications in specialized areas such as household and business surveys, marketing research, opinion polls and censuses. Volume 2 is concerned with inference, distinguishing between design-based and model-based methods and focusing on specific problems such as small area estimation, analysis of longitudinal data, categorical data analysis and inference on distribution functions. The volume contains also chapters dealing with case-control studies, asymptotic properties of estimators and decision theoretic aspects.

Bayesian Statistics 6

Proceedings of the Sixth Valencia International Meeting

Author: J. M. Bernardo

Publisher: Oxford University Press


Category: Business & Economics

Page: 867

View: 306

Bayesian statistics is a dynamic and fast-growing area of statistical research, and the Valencia International Meetings, held every four years, provide the main forum for discussion of developments in the field. The resulting Proceedings form a definitive and up-to-date collection of research. This sixth volume will be an indispensable reference for all researchers in statistics.

Bayesian Statistics 3

Proceedings of the Third Valencia International Meeting, June 1-5, 1987

Author: J. M. Bernardo

Publisher: Oxford University Press, USA


Category: Science

Page: 805

View: 718

The field of statistics has undergone rapid and wide development during the past two decades, and the Bayesian approach to statistics has provided both a general framework and a creative stimulus for all aspects of this development. This volume describes the work presented at the Third Valencia International Meeting on Bayesian Statistics, the main source of information and communication about the current state of knowledge and research in Bayesian statistics throughout the world. The research presented--which encompasses both invited papers and selected contributed papers-- has had a profound effect on the foundations of statistical inference and probability, statistical theory and methodology, and the applications of statistics in science, technology, medicine, business, law, and public policy. The contributors to this volume form a virtual Who's Who in the area of Bayesian statistics.

Bayesian statistics 5

proceedings of the fifth Valencia international meeting, June 5-9, 1994

Author: J. M. Bernardo

Publisher: Oxford University Press, USA


Category: Mathematics

Page: 813

View: 806

The proceedings of the Valencia International Meeting on Bayesian Statistics (held every four years) provide an overview of this important and highly topical area in theoretical and applied statistics. This fifth Proceedings reflects a growing emphasis on computational issues concerned with making Bayesian methods routinely available to applied practitioners both statisticians and specialists in other subject-matter, whose work depends on careful quantification of uncertainties. This book contains several invited papers by leading authorities.

Bootstrap Methods

A Guide for Practitioners and Researchers

Author: Michael R. Chernick

Publisher: John Wiley & Sons


Category: Mathematics

Page: 400

View: 126

A practical and accessible introduction to the bootstrap method——newly revised and updated Over the past decade, the application of bootstrap methods to new areas of study has expanded, resulting in theoretical and applied advances across various fields. Bootstrap Methods, Second Edition is a highly approachable guide to the multidisciplinary, real-world uses of bootstrapping and is ideal for readers who have a professional interest in its methods, but are without an advanced background in mathematics. Updated to reflect current techniques and the most up-to-date work on the topic, the Second Edition features: The addition of a second, extended bibliography devoted solely to publications from 1999–2007, which is a valuable collection of references on the latest research in the field A discussion of the new areas of applicability for bootstrap methods, including use in the pharmaceutical industry for estimating individual and population bioequivalence in clinical trials A revised chapter on when and why bootstrap fails and remedies for overcoming these drawbacks Added coverage on regression, censored data applications, P-value adjustment, ratio estimators, and missing data New examples and illustrations as well as extensive historical notes at the end of each chapter With a strong focus on application, detailed explanations of methodology, and complete coverage of modern developments in the field, Bootstrap Methods, Second Edition is an indispensable reference for applied statisticians, engineers, scientists, clinicians, and other practitioners who regularly use statistical methods in research. It is also suitable as a supplementary text for courses in statistics and resampling methods at the upper-undergraduate and graduate levels.

The SAGE Handbook of Innovation in Social Research Methods

Author: Malcolm Williams

Publisher: SAGE


Category: Social Science

Page: 664

View: 889

Social research is a bourgeoning field. Of course it has many traditions and approaches, but there is a high premium upon thinking differently and thinking anew because social life is never static or wholly predictable. The Handbook, edited by internationally recognized scholars, provides a comprehensive, pitch-perfect critical assessment of the field. The main features of the Handbook are: Clear organization into 4 parts dealing with The Social Context of Research; Design and Data Collection; Integrating The Analysis of New Data Types; Sampling, Inference and Measurement Clear, cutting edge chapters on Objectivity; Causation; Organizing Social Research; Correspondence Analysis; Grounded Theory; Conversational Surveys; Mixed Methods; Meta-Analysis; Optimal Matching Analysis; GIS Analysis; Quantitative Narrative Analysis; Longitudinal Studies; SEM; MLM; Qualitative Comparative Analysis; Respondent Driven Sampling Brings together a glittering assembly of the key figures working in the field of research methods Demonstrates the continuities and productive tensions between classical traditions and real world research. The result is a superbly organized text which will be required reading for anyone interested in the routes and future of social research. It is an unparalleled teaching resource and a 'must have' for serious social researchers.

Reminiscences of a Statistician

The Company I Kept

Author: Erich L. Lehmann

Publisher: Springer Science & Business Media


Category: Mathematics

Page: 316

View: 242

This relatively nontechnical book is the first account of the history of statistics from the Fisher revolution to the computer revolution. It sketches the careers, and highlights some of the work, of 65 people, most of them statisticians. What gives the book its special character is its emphasis on the author's interaction with these people and the inclusion of many personal anecdotes. Combined, these portraits provide an amazing fly-on-the-wall view of statistics during the period in question. The stress is on ideas and technical material is held to a minimum. Thus the book is accessible to anyone with at least an elementary background in statistics.