In statistics, Scheffé's method, named after American statistician Henry Scheffé, is a method for adjusting significance levels in a linear regression...

are compared to the same control group. Now known as Dunnett's test, this method is less conservative than the Bonferroni adjustment.[citation needed] The...

Henry Scheffé (April 11, 1907 – July 5, 1977) was an American statistician. He is known for the Lehmann–Scheffé theorem and Scheffé's method. Scheffé was...

Monte Carlo methods, or Monte Carlo experiments, are a broad class of computational algorithms that rely on repeated random sampling to obtain numerical...

In statistics, the Lehmann–Scheffé theorem is a prominent statement, tying together the ideas of completeness, sufficiency, uniqueness, and best unbiased...

"exploratory comparisons"- choose comparisons after examining the data i.e. Scheffé's method The F-test is sensitive to non-normality. In the analysis of variance...

involving basis functions are Scheffé's method and, if the researcher has in mind only pairwise comparisons, the Tukey method. To avoid the extreme conservativeness...

by Tukey and Scheffé. Their method was a general one, which considered all kinds of pairwise comparisons. Tukey's and Scheffé's methods allow any number...

Newman-Keuls Rodger’s Method Scheffé’s Method Tukey’s Test (see also: Studentized Range Distribution) However, with the exception of Scheffès Method, these tests...

bands. Commonly used methods for constructing simultaneous confidence bands in regression are the Bonferroni and Scheffé methods; see Family-wise error...

bands are known as the Working–Hotelling–Scheffé confidence bands. Like the closely related Scheffé's method in the analysis of variance, which considers...

The method of least squares is a mathematical optimization technique that aims to determine the best fit function by minimizing the sum of the squares...

several methods have been proposed: the method of moments, the maximum likelihood method, the least squares method and the more recent method of estimating...

pattern of occupancy Scatter matrix Scatter plot Scatterplot smoothing Scheffé's method Scheirer–Ray–Hare test Schilder's theorem Schramm–Loewner evolution...

In statistics, maximum likelihood estimation (MLE) is a method of estimating the parameters of an assumed probability distribution, given some observed...

Least-squares spectral analysis (LSSA) is a method of estimating a frequency spectrum based on a least-squares fit of sinusoids to data samples, similar...

Rodger's method is a statistical procedure for examining research data post hoc following an 'omnibus' analysis (e.g., after an analysis of variance –...

the other measurements. Scientific controls are a part of the scientific method. Ideally, all variables in an experiment are controlled (accounted for by...

methods for linear least squares F-test t-test Lack-of-fit sum of squares Confidence band Coefficient of determination Multiple correlation Scheffé's...

is the favorable performance of bootstrap methods using sampling with replacement compared to prior methods like the jackknife that sample without replacement...

estimator and also the method of moments. This estimator is unbiased and uniformly with minimum variance, proven using Lehmann–Scheffé theorem, since it is...

adequate representation of the multiple-testing actually involved Henry Scheffé's simultaneous test of all contrasts in multiple comparison problems is...

Inductive reasoning refers to a variety of methods of reasoning in which the conclusion of an argument is supported not with deductive certainty, but...

relationships as a specification error. He suggests a two-stage estimation method to correct the bias. The correction uses a control function idea and is...

sculptor and teacher Henry Scheffé (1907-1977), statistician; known for the Lehmann-Scheffe theorem and Scheffe's method Arnold Alfred Schmidt, painter...

Journal) Publishing, 1997 Research Methods Knowledge Base by William M. K. Trochim, Web Center for Social Research Methods, copyright 2006 Cross-Sectional...

Glivenko–Cantelli theorem. Some methods for calculating the percentiles are given below. The methods given in the calculation methods section (below) are approximations...

Particle filters, also known as sequential Monte Carlo methods, are a set of Monte Carlo algorithms used to find approximate solutions for filtering problems...

Bayesian inference (/ˈbeɪziən/ BAY-zee-ən or /ˈbeɪʒən/ BAY-zhən) is a method of statistical inference in which Bayes' theorem is used to calculate a probability...

very few studies do so. Blinding is an important tool of the scientific method, and is used in many fields of research. In some fields, such as medicine...