Results 281 to 290 of about 247,651 (343)

Effect Sizes () for the significant GLMs. is a weak effect, is a moderate effect, is a strong effect, and anything above is a very strong effect. Observed power column indicates the statistical power for each GLM.

open access: green
Abderrahman Ouattas (13026189)   +5 more
openalex   +1 more source

GLM and joint GLM techniques in hydrogeology: an illustration

International Journal of Hydrology Science and Technology, 2012
In regression models with positive observations, estimation is often based on either the log-normal or the gamma model. Generalised linear models and joint generalised linear models are appropriate for analysing positive data with constant and non-constant variance, respectively.
Rabindra Nath Das, Jinseog Kim
openaire   +1 more source

Binomial GLMs

2021
GLMs with a binomial distribution are designed for the analysis of binomial counts (how many times something occurred relative to the total number of possible times it could have occurred). A logistic link function constrains predictions to be above zero and below the maximum using the S-shaped logistic curve.
openaire   +1 more source

Crystallization of the glmS Ribozyme-Riboswitch

2009
Procedures that were critical for crystallization of the glmS ribozyme-riboswitch RNA domain from the thermophilic Gram-positive bacterium Thermoanaerobacter tengcongensis are described. Experimental design based on screening multiple variant RNA sequences and techniques used to identify initial crystallization conditions were similar to those employed
Daniel J, Klein   +1 more
openaire   +2 more sources

GLMs for Binary Data

2021
Binomial GLMs can also be used to analyse binary data as a special case, with some minor differences introduced into the analysis by the constrained nature of the binary data.
openaire   +1 more source

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