Sentence examples for normal theory from inspiring English sources

The confidence interval is based on normal theory, assuming that log(PR) is normally distributed, which is often approximately the case in sufficiently large samples, and uses the bootstrap estimate of sampling variance.

Inference procedures based on the assumption of a normally distributed sample statistic are referred to as normal theory methods.

Given that the assumptions of normal theory maximum likelihood are met (e.g., multivariate normality, and a large sample of independently and identically distributed cases), and under the assumption that Σ and μ represent the true model (Σ1 and μ1), the test statistic T follows a χ distribution with df1 degrees of freedom, i.e., T ∼ χ(df1) (Azzeline 1996; Bollen 1989).

The machinery comprises a multi-dimensional IRT component (for item calibration) and a normal theory, latent regression (LR) model that links the estimand to the background factors.

For further research, properties of the Hopf bifurcation such as direction and stability are determined by applying the normal theory and the center manifold theorem.

It will look too rich for the sourpusses with the New Normal theory of investing ("The economy is going to stink for a long while, so get used to it").

The normal theories that physics uses to describe events in space-time are redundant in some surprising and as yet mysterious way.

Normal theories about stock compensation and risk-taking may not hold true today, compensation experts say, in large part because of the government's continued financial support of the industry.

For normal theories Lukaszewicz's definition of extensions is equivalent to the definitions from above.

The XBAM software package was used (http://www.brainmap.co.uk; Brammer et al. 1997), which makes no normality assumptions (often violated in fMRI data), but instead uses median statistics to control outlier effects and permutation rather than normal theory-based inference.

For fMRI analysis, the software package of XBAM was used (http://www.brainmap.co.uk; Brammer et al. 1997), which makes no normality assumptions (violated in fMRI data), but instead uses median statistics to control outlier effects and permutation rather than normal theory-based inference.