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Mount Usu / Sarobetsu postmined peatland
From left: Crater basin in 1986 and 2006. Cottongrass / Daylily
HOME > Lecture catalog / Research summary > Glossary > Mathematics > Statistics > Statistical test
Terminologyzeroinflated model = hurdle model = twopart model 

SAS SPSS (statistical packages for social sciences) Systat Statistica MVSP (multivariate statistical package) JMP: good for biostatistics 
R (package): freeware1997 Ihaka R & Gentleman: proposed R → open source (⇔ S)CRAN (The comprehensive R archive network): megainfromation source on R Python: freewareCpython 
an analysis tool used in statistics that splits an observed aggregate variability found inside a data set into two parts: systematic factors and random factors
systematic factors: a statistical influence on the given data set 
Oneway analysis of variance (oneway ANOVA, 1元配置分散分析)used to determine whether there are any statistically significant differences between the means of three or more independent (unrelated) groupsTwoway analysis of variance (twoway ANOVA, 2元配置分散分析)an extension of the oneway ANOVA that reveals the results of two independent variables on a dependent variable 
[ ordination ]
Univariate analysis, which looks at just one variable Bivariate analysis, which analyzes two variables Multivariate analysis, which looks at more than two variables 
[cluster analysis, metaanalysis, ordination] 
A part of general linear model Assumpstion:
data: interval sample size: number of cases > number of factors
including relevant variables 
Exploratory factor analysis ≈ FA Confirmatory factor analysis (CFA) ≈ PCA Factor model (因子モデル)Fixed (effect) model (固定モデル) = parametric model (母数モデル), FM: type I The way to obtain common factors (共通因子)• principal factor analysis (PFA) or principal axis factoring (PAF)• centroid method • varimax rotation for obtaining varimax solution 
= discriminant function analysis, DFA 