## The Oxford Dictionary of Statistical TermsThis is the new-in-paperback edition of The Oxford Dictionary of Statistical Terms, the much-awaited sixth edition of the acclaimed standard reference work in statistics, published on behalf of the International Statistical Institute. The first edition, known as the Dictionary of StatisticalTerms, was edited in 1957 by the late Sir Maurice Kendall and the late Dr W.R. Buckland. As one of the first dictionaries of statistics it set high standards for the subject, and became a well-respected reference.This edition has been carefully updated and extended to include the most recent terminology and techniques in statistics. Significant revision and expansion from an international editorial board of senior statisticians has resulted in a comprehenisive reference text which includes 30% more materialthan previous editions. Ideal for all who use statistics in the workplace and in research including all scientists and social scientists, especially in law, politics, finance, business, and history, it is an indispensable reference. |

### What people are saying - Write a review

User Review - Flag as inappropriate

ist. terimleri var

### Contents

Section 1 | 1 |

Section 2 | 14 |

Section 3 | 24 |

Section 4 | 41 |

Section 5 | 55 |

Section 6 | 57 |

Section 7 | 67 |

Section 8 | 76 |

Section 23 | 247 |

Section 24 | 255 |

Section 25 | 267 |

Section 26 | 280 |

Section 27 | 291 |

Section 28 | 299 |

Section 29 | 312 |

Section 30 | 318 |

Section 9 | 95 |

Section 10 | 104 |

Section 11 | 126 |

Section 12 | 144 |

Section 13 | 159 |

Section 14 | 177 |

Section 15 | 186 |

Section 16 | 192 |

Section 17 | 199 |

Section 18 | 212 |

Section 19 | 213 |

Section 20 | 215 |

Section 21 | 219 |

Section 22 | 224 |

Section 31 | 326 |

Section 32 | 333 |

Section 33 | 357 |

Section 34 | 367 |

Section 35 | 402 |

Section 36 | 403 |

Section 37 | 418 |

Section 38 | 423 |

Section 39 | 427 |

Section 40 | 435 |

Section 41 | 437 |

439 | |

### Common terms and phrases

alternative name analysis of variance approximation asymptotic beta distribution binomial distribution bivariate block design called cluster coefficient components confidence intervals correlation covariance criterion cumulative curve defined denote density function dependent derived deviation distribution function distribution-free equal equation error example experimental design exponential expression finite Fisher frequency distribution given incomplete block independent index number inequality inverse known Latin square lattice least squares limit linear Markov chain mathematical matrix maximum likelihood mean square measure median method multivariate negative binomial distribution Neyman non-parametric normal distribution null hypothesis observations order statistics orthogonal parameter Pearson period Poisson distribution population probability density probability distribution problem procedure proportion proposed quartile R.A. Fisher random sample random variables rank ratio regression sense sequence sequential sometimes standard stochastic process symmetric term test A test test statistic theorem theory tion transformation treatments usually values variation vector zero