- significant studentized range
- 显著的t分布化范围
Medical Chinese dictionary (湘雅医学词典). 2013.
Medical Chinese dictionary (湘雅医学词典). 2013.
Tukey's test — Tukey s test, named after John Tukey, is a statistical test generally used in conjunction with an ANOVA to find which means are significantly different from one another. It compares all possible pairs of means, and is based on a studentized range … Wikipedia
Multiple comparisons — In statistics, the multiple comparisons or multiple testing problem occurs when one considers a set of statistical inferences simultaneously.[1] Errors in inference, including confidence intervals that fail to include their corresponding… … Wikipedia
Newman–Keuls method — In statistics, the Newman–Keuls method (named after D. Newman (1939),[1] and M. Keuls (1952)[2]) is a post hoc test used for comparisons after the performed F test (analysis of variance) is found to be significant. The Newman–Keuls method is very … Wikipedia
List of mathematics articles (S) — NOTOC S S duality S matrix S plane S transform S unit S.O.S. Mathematics SA subgroup Saccheri quadrilateral Sacks spiral Sacred geometry Saddle node bifurcation Saddle point Saddle surface Sadleirian Professor of Pure Mathematics Safe prime Safe… … Wikipedia
Familywise error rate — In statistics, familywise error rate (FWER) is the probability of making one or more false discoveries, or type I errors among all the hypotheses when performing multiple pairwise tests [Shaffer J. P. Multiple Hypothesis Testing, Annual Review of … Wikipedia
Linear least squares (mathematics) — This article is about the mathematics that underlie curve fitting using linear least squares. For statistical regression analysis using least squares, see linear regression. For linear regression on a single variable, see simple linear regression … Wikipedia
Outlier — This article is about the statistical term. For other uses, see Outlier (disambiguation). Figure 1. Box plot of data from the Michelson Morley Experiment displaying outliers in the middle column. In statistics, an outlier[1] is an observ … Wikipedia
Linear least squares/Proposed — Linear least squares is an important computational problem, that arises primarily in applications when it is desired to fit a linear mathematical model to observations obtained from experiments. Mathematically, it can be stated as the problem of… … Wikipedia
Minimum description length — The minimum description length (MDL) principle is a formalization of Occam s Razor in which the best hypothesis for a given set of data is the one that leads to the best compression of the data. MDL was introduced by Jorma Rissanen in 1978. It is … Wikipedia
Linear least squares — is an important computational problem, that arises primarily in applications when it is desired to fit a linear mathematical model to measurements obtained from experiments. The goals of linear least squares are to extract predictions from the… … Wikipedia
Non-linear least squares — is the form of least squares analysis which is used to fit a set of m observations with a model that is non linear in n unknown parameters (m > n). It is used in some forms of non linear regression. The basis of the method is to… … Wikipedia