GenStat

被引:64
作者
Payne, Roger W. [1 ]
机构
[1] VSN Int, Hemel Hempstead HP1 1ES, Herts, England
来源
WILEY INTERDISCIPLINARY REVIEWS-COMPUTATIONAL STATISTICS | 2009年 / 1卷 / 02期
关键词
D O I
10.1002/wics.32
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
GenStat is a very flexible and extendable statistical system that caters for a wide range of types of use. Its MS Windows implementation has comprehensive menus to guide non-technical users to use statistics correctly and effectively. It also has a powerful programming language that can be used to develop new techniques and facilities to make these too accessible via menus. GenStat's facilities cover all the standard statistical methods, as well as more recent techniques such as the use of the REML algorithm to model covariance structures in repeated measurements or spatial analysis and new methodology such as hierarchical generalized linear models to allow generalized linear models to be fitted in situations where there are several sources of error variation. It has powerful spreadsheet facilities for data storage and manipulation and an attractive graphics viewer that allows users to edit and interact with their plots. (C) 2009 John Wiley & Sons, Inc.
引用
收藏
页码:255 / 258
页数:4
相关论文
共 17 条
[1]   Multiple randomizations [J].
Brien, C. J. ;
Bailey, R. A. .
JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES B-STATISTICAL METHODOLOGY, 2006, 68 :571-599
[2]   Tiers, structure formulae and the analysis of complicated experiments [J].
Brien, CJ .
JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES D-THE STATISTICIAN, 1999, 48 :41-52
[3]  
Fisher R.A., 1922, PHILOS T ROYAL SOC, V222, P309, DOI DOI 10.1098/RSTA.1922.0009
[4]   Studies in crop variation II The manurial response of different potato varieties [J].
Fisher, RA ;
MacKenzie, WA .
JOURNAL OF AGRICULTURAL SCIENCE, 1923, 13 :311-320
[5]  
Gilmour A. R., 1997, Journal of Agricultural, Biological, and Environmental Statistics, V2, P269, DOI 10.2307/1400446
[6]   Average information REML: An efficient algorithm for variance parameter estimation in linear mixed models [J].
Gilmour, AR ;
Thompson, R ;
Cullis, BR .
BIOMETRICS, 1995, 51 (04) :1440-1450
[7]  
GOWER JC, 1966, BIOMETRIKA, V53, P325, DOI 10.2307/2333639
[8]  
Lee Y, 2006, GEN LINEAR MODELS RA
[9]  
Nelder J.A., 1989, GEN LINEAR MODELS, V2nd
[10]   ANALYSIS OF RANDOMIZED EXPERIMENTS WITH ORTHOGONAL BLOCK STRUCTURE .I. BLOCK STRUCTURE AND NULL ANALYSIS OF VARIANCE [J].
NELDER, JA .
PROCEEDINGS OF THE ROYAL SOCIETY OF LONDON SERIES A-MATHEMATICAL AND PHYSICAL SCIENCES, 1965, 283 (1393) :147-&