PROBABILITY PLOTS AND DISTRIBUTION CURVES FOR ASSESSING THE FIT OF PROBABILITY-MODELS

被引：36

作者：

GAN, FF

KOEHLER, KJ

THOMPSON, JC

机构：

[1] IOWA STATE UNIV SCI & TECHNOL,DEPT STAT,AMES,IA 50011

[2] DOANE MKT RES,CREVE COEUR,MO 63011

来源：

AMERICAN STATISTICIAN | 1991年 / 45卷 / 01期

关键词：

GOODNESS OF FIT; P-P PLOT; Q-Q PLOT;

D O I：

10.2307/2685233

中图分类号：

O21 [概率论与数理统计]; C8 [统计学];

学科分类号：

020208 ; 070103 ; 0714 ;

摘要：

Properties of P-P and Q-Q probability plots for visually assessing the fit of probability models are reviewed. It is shown how to construct families of curves for standardized P-P plots, which are useful for identifying viable alternatives to a proposed probability model. The effectiveness of such curves is illustrated with plots of real and simulated data. Percentiles of a related correlation test of goodness of fit are presented for testing the fit of either the normal, exponential, or Gumbel distribution with unknown location and scale parameters.

引用

页码：14 / 21

页数：8

共 18 条

[1] PROBABILITY PLOTTING METHODS AND ORDER STATISTICS [J].