## Encyclopedia of Statistical Sciences, Volume 3Countless professionals and students who use statistics in their work rely on the multi-volume Encyclopedia of Statistical Sciences as a superior and unique source of information on statistical theory, methods, and applications. This new edition (available in both print and on-line versions) is designed to bring the encyclopedia in line with the latest topics and advances made in statistical science over the past decade--in areas such as computer-intensive statistical methodology, genetics, medicine, the environment, and other applications. Written by over 600 world-renowned experts (including the editors), the entries are self-contained and easily understood by readers with a limited statistical background. With the publication of this second edition in 16 printed volumes, the Encyclopedia of Statistical Sciences retains its position as a cutting-edge reference of choice for those working in statistics, biostatistics, quality control, economics, sociology, engineering, probability theory, computer science, biomedicine, psychology, and many other areas. The Encyclopedia of Statistical Sciences is also available as a 16 volume A to Z set. Volume 3: D - E. |

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#### Encyclopedia of statistical sciences

User Review - Not Available - Book VerdictThis second edition includes much of the content of the original nine-volume set, published between 1982 and 1989, and its three supplements, published between 1997 and 1999. Despite the work's ... Read full review

### Contents

W Gaylor Center for Toxicological Research Jef L Kish University of Michigan Ann Arbor Ml Design | 1522 |

Approximation toI | 1528 |

Stuart Geman Brown University Providence Rl Esti | 1554 |

Copyright | |

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### Other editions - View all

Encyclopedia of Statistical Sciences Samuel Kotz,N. Balakrishnan,Brani Vidakovic,Campbell B. Read No preview available - 2004 |

### Common terms and phrases

algorithm Amer applications approach approximation assumed assumption asymptotic Bayes estimator Bayesian Bayesian inference Biometrika bivariate bution coefficient convergence correlation covariance data analysis decision problem defined denote density estimation dependence Dirichlet Dirichlet process dispersion models distri distribution function efficiency empirical Bayes equation equivariant estimator error esti estimating functions example experimental exponential families finite func given independent inference J. R. Statist kernel Kotz linear models loss function Markov Math mathematical mator matrix mean measure methods metric multinomial multinomial distribution multivariate nonparametric normal distribution null hypothesis observations obtained optimal order statistics parameter Poisson population posterior prior distribution prob probability Proc procedure properties quadratic random variables ratio REFERENCES regression risk sample sequence sion space squares Stat statis stochastic Table techniques theorem theory tion tive tribution values variance vector Wiley York zero