Results 281 to 290 of about 1,117,675 (339)

Clinical simulation as an effective teaching model in the Special Needs Dentistry course. [PDF]

BMC Med Educ
Mellinas-Martínez I, Pecci-Lloret MP, Pecci-Lloret MR, Adánez-Martínez MG, Guerrero-Gironés J.   +4 more
europepmc   +1 more source

Verification of Normality in the Source Intensity Detection Rate for Batch Assay Using a Well-Type Ionization Chamber. [PDF]

Cureus
Takanashi M, Kuroda I, Sugahara S, Kawaguchi M, Hoshina M, Noguchi M, Masuda K.   +6 more
europepmc   +1 more source

Empirical and Asymptotic Perspectives on Sample Size Adequacy in Normality Testing: A Monte Carlo Study

Mehmet Tahir Huyut
openalex   +2 more sources

The effect of a preliminary test of normality using √b1 on Student's t Distribution

, 1987
Jeffrey Dodgson
openalex   +1 more source

Some of the next articles are maybe not open access.

Related searches:

Hermite normality tests

Signal Processing, 1998
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Declercq, David, Duvaut, Patrick
openaire   +1 more source

Testing multivariate normality

Biometrika, 1978
SUMMARY Previous work on testing multivariate normality is reviewed. Coordinate-dependent and invariant procedures are distinguished. The arguments for concentrating on tests of linearity of regression are indicated and such tests, both coordinate-dependent and invariant, are developed.
Cox, D. R., Small, N. J. H.
openaire   +2 more sources

Testing normality

tm - Technisches Messen, 2019
Abstract In metrology, the normal distribution is often taken for granted, e. g. when evaluating the result of a measurement and its uncertainty, or when establishing the equivalence of measurements in key or supplementary comparisons. The correctness of this inference and subsequent conclusions is dependent on the normality assumption ...
Katy Klauenberg, Clemens Elster
openaire   +1 more source

Normal Scores, Normal Plots Tests for Normality

Journal of the American Statistical Association, 1996
Abstract In this article we develop new plotting positions for normal plots. The use of the plots usually centers on detecting irregular tail behavior or outliers. Along with the normal plot, we develop tests for various departures from normality, especially for skewness and heavy tails.
B. M. Brown, T. P. Hettmansperger
openaire   +1 more source