A Dictionary of Statistics 3e
This wide-ranging, jargon-free dictionary contains over 2,300 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 edition features recommended web links for many entries, accessible via the Dictionary of Statistics website, which provide valuable extra information. This edition features expanded coverage of applied statistics. Entries are generously illustrated with 130 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. It is an invaluable dictionary for statistics students and professionals from a wide range of disciplines, including economics, politics, market research, medicine, psychology, pharmaceuticals, and mathematics, and provides a clear introduction to the subject for the general reader.
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Preface to the Third Edition
Preface to First Edition
Abbreviations in Biographies
¼ Xn algorithm alternative analysis ANOVA approximate autocorrelation awarded biography and photograph C. R. Rao Cauchy distribution chi-squared distribution cluster column vector components coordinates correlation coefficient corresponding cumulative cumulative distribution function cyclic data degrees of freedom denoted diagram distance distribution function elected FRS estimate example expected value experimental design explanatory variables exponential distribution F-distribution fðxÞ ¼ frequency Fuller biography function f given graph Guy Medal hazard rate hypothesis test independent introduced joined the faculty least squares logit mathematical matrix measure median method moving average multiple regression model multivariate non-parametric test normal distribution null hypothesis parameters plot Poisson Poisson distribution population President probability density function problem procedure proportion quartile random variable ranks ratio sample mean sample space skewness statistician sum of squares Suppose test for equality test statistic treatment two-by-two table usually variance Xn j¼1