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Mount Usu / Sarobetsu post-mined peatland
From left: Crater basin in 1986 and 2006. Cottongrass / Daylily
HOME > Lecture catalog / Research summary > Glossary > Mathematics > Statistics > Statistical test
Terminologyzero-inflated model = hurdle model = two-part model |
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SAS SPSS (statistical packages for social sciences) Systat Statistica MVSP (multi-variate statistical package) JMP: good for biostatistics |
R (package): freeware1997 Ihaka R & Gentleman: proposed R → open source (⇔ S)CRAN (The comprehensive R archive network): mega-infromation 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 |
One-way analysis of variance (one-way 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) groupsTwo-way analysis of variance (two-way ANOVA, 2元配置分散分析)an extension of the one-way 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, meta-analysis, 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 |