ISBN-13: 978-0-19-954145-4
Estimated publication date: August 2008
512 pages, In-text illus. & charts, 196x129 mm
Series: Oxford Paperback Reference
Description
Contains over 2,000 jargon-free entries
Includes over 200 biographies of key figures in statistics
Web links for many entries, accessible via the Dictionary of Statistics companion website
Many illustrative examples, giving entries a practical context
Multi-disciplinary coverage: useful to students of many subjects, including statistics, economics, politics, medicine, and mathematics
Includes appendices of mathematical and statistical notation, and statistical tables
New to this edition
Revised and updated content
Entry-level web links updated via the Dictionary of Statistics companion website
This wide-ranging, jargon-free dictionary contains over 2,000 entries on all aspects of statistics, including terms used in computing, mathematics, and probability. It also includes biographical information on over 200 key figures in the field and coverage of statistical journals and societies. While embracing the whole multi-disciplinary spectrum of this complex subject, information is presented in a clear and practical manner. This revised and updated edition features recommended web links for many entries, accessible via the Dictionary of Statistics website, which provide valuable extra information.
Entries are generously illustrated with useful figures and diagrams, and include worked examples where applicable. Appendices include a historical calendar of important statistical events, lists of statistical and mathematical notation, and statistical tables. An invaluable dictionary for statistics students and professionals from a wide range of disciplines, including economics, politics, market research, medicine, psychology, pharmaceuticals, and mathematics. Also provides a clear introduction to the subject for the general reader.
Preface
Abbreviations in biographies
Dictionary
Appendices
Statistical Notation
Mathematical Notation
Greek Letters
Cumulative Probabilities for the Binomial Distribution
Cumulative Probabilities for the Poisson Distribution
Upper-Tail Percentage Points for the Standard Normal Distribution
The Standard Normal Distribution Function
Percentage Points for the t-Distribution
Percentage Points for the F-Distribution
Percentage Points for the Chi-Squared Distribution
Critical Values for Spearman's Rank Correlation Coefficient
Critical Values for Kendall
Critical Values for the Product-Moment Correlation Coefficient, r
Pseudo-Random Numbers
Selected Landmarks in the Development of Statistics
Honours and Awards
Further Reference
While probability theory is the conceptual framework behind random sampling, modeling of measurement processes, and the analysis of stochastic models?all well-known techniques to many researchers in the social sciences?probability theory is often considered difficult or unwieldy to apply effectively to real-world research questions. Of late, several surprisingly complex yet direct applications of probabilitistic arguments have emerged in the social sciences, including new theories of causality, agent-based simulation models, and forecasts based on probabilistic models. These and several other fields of research and their applications make probability theory?both classical or fundamental proponents and cutting-edge developments?a central part of the knowledge base for any social scientist.
Providing cutting-edge perspectives and real-world insights into the greater utility of probability and its applications, the Handbook of Probability offers an equal balance of theory and direct applications in a non-technical, yet comprehensive, format. Editor Tamas Rudas and the internationally-known contributors present the material in a manner so that researchers of various backgrounds can use the reference either as a primer for understanding basic probability theory or as a more advanced research tool for specific projects requiring a deeper understanding. The wide-ranging applications of probability presented make it useful for scholars who need to make interdisciplinary connections in their work.
Contains contributions from the international whofs-who of probability across several disciplines
Offers an equal balance of theory and applications
Explains the most important concepts of probability theory in a non-technical yet comprehensive way
Provides in-depth examples of recent applications in the social and behavioral sciences as well as education, business, and law
ISBN: 9781597180412
Publication Date: 5/16/2008
Number of Pages: 363
Explores an array of approaches for analyzing time-to-event data using Stata
Provides deep insight into the syntax, features, and fundamentals of Stata's survival analysis routines
Explains how various survival analysis estimators work and what information they exploit
Contains information on the latest version of Stata
Written by the developers of Stata's widely used survival analysis suite, this book provides the foundation to understand various approaches for analyzing time-to-event data. Taking a practical approach to the subject, the authors discuss how survival analysis estimators work and what information they exploit. They also present the syntax, features, and underpinnings of Stata's survival analysis routines.
This edition highlights the new aspects of Stata 10, including its power and sample-size calculations for survival data. Other updates include in-graph at-risk tables for KaplanMeier and related curves, survival analysis for survey data, and regression models with flexible functional forms via fractional polynomials.
ISBN: 9781584887843
Publication Date: 7/31/2008
Number of Pages: 544
Provides an accessible and comprehensive introduction to statistical analysis using SAS
Contains two new chapters addressing such topics as generalized additive models
Reflects the latest version of SAS with all syntax updated
Includes numerous worked examples with all datasets and SAS code available from the web
Features additional exercises, with selected solutions in an appendix and a solutions manual available for qualifying instructors
Presenting an accessible and comprehensive introduction to statistical analysis, the third edition of A Handbook of Statistical Analyses using SAS has been updated to reflect the latest SAS version 9.2, with all new syntax included. This edition of a bestseller also features two entirely new chapters, one of which addresses the topic of generalized additive models. Expanding on the already large number of detailed worked examples offered in the previous editions, this book presents additional exercises, selected solutions contained in an appendix, and a full solutions manual. All datasets and SAS code are available for download on the web.
An Introduction to SAS. Data Description and Simple Inference: Mortality and Water Hardness in the UK. Simple Inference for Categorical Data: From Sandflies to Organic Particulates in the Air. Analysis of Variance I: Treating Hypertension. Analysis of Variance II:School Attendance. Simple Linear Regression: Alcohol and Cirrhosis and How old is the Universe? Multiple Regression: Determinants of the Crime Rate in the United States. Logistic Regression: Psychiatry Screening, Plasma Proteins and Danish Do-it-Yourself. Generalized Linear Models: School Attendance Amongst Australian School Children. Generalized Additive Models. Analysis of Variance of Repeated Measures Data: Visual Acuity. Longitudinal Data I: Postnatal Depression. Longitudinal Data II: Different Example. Longitudinal Data III: GEE. Survival Analysis: Different Second Example Perhaps. PCA and FA. CA. DA. Correspondence Analysis.
Textbooks in Mathematics
ISBN: 9781420063714
Publication Date: 8/22/2008
Number of Pages: 344
Looks at abstract algebra as the main tool underlying discrete mathematics and the digital world
Uses semigroups and monoids as stepping stones to present the concept of groups
Provides the fundamentals of abstract algebra and deeper coverage of group and ring theory
Contains numerous exercises of varying levels of difficulty, along with chapter notes that point out variations in notation and approach
Includes study projects that cover standard applications
Taking an approach slightly different than similar texts, this book presents abstract algebra as the main tool underlying discrete mathematics and the digital world. Ideal for a one-semester course, the first seven chapters provide basic coverage of the field. The author emphasizes semigroups and monoids since they are easy stepping stones to the concept of groups. After covering groups in detail, he discusses rings, integral domains, and fields. The book then proceeds to more advanced topics on group and ring theory as well as nonassociative structures, such as quasi groups and Lie algebras. Each chapter contains a wide range of exercises, notes that point out variations in notation and list the names of mathematicians used in the terminology, and study projects that cover typical applications of the algebraic topics presented.
Numbers. Functions. Equivalence. Groups and Monoids. Homomorphisms. Rings. Fields. Group Actions. Group Structure. Factorization. Modules. Quasigroups. Lie Algebras.