Results 161 to 170 of about 6,291 (198)
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GLIM for Preference

1982
Many types of multiple comparisons data can be described by multiplicative models, consequently GLIM can be used to fit log-linear models to such data, and to produce not only estimates of the parameters of interest, but also standard errors and tests of significance. Moreover as the data consists of counts the adequacy of the model can be tested in an
openaire   +1 more source

Quality in the GLIMS Glacier Database

2014
Global Land Ice Measurements from Space (GLIMS) is an international initiative to map the world’s glaciers and to build a geospatial database of glacier vector outlines that is usable via the World Wide Web. The GLIMS initiative includes glaciologists at 82 institutions, organized into 27 Regional Centers (RCs), who analyze satellite imagery to map ...
Raup, Bruce H   +20 more
openaire   +2 more sources

GLIM: An Introduction

Technometrics, 1989
Henry C. Thode, M. J. R. Healy
  +4 more sources

GLIM for Ecologists.

The Journal of Ecology, 1994
B. D. Turner, M. J. Crawley
  +4 more sources

The New Release of GLIM: GLIM 3.77

The American Statistician, 1986
Numerical Algorithms Group Ltd.   +1 more
openaire   +1 more source

Quasi-Likelihood and GLIM

1985
Quasi-likelihood allows GLMs to be specified by use of the link function and variance function only, or equivalently by specifying the first two moments of the error distribution. Wedderburn’s original definition is extended to allow the comparison of different variance functions, and several uses of quasi-likelihood in extending the range of GLMs are ...
openaire   +1 more source

The Global Leadership Initiative on Malnutrition (GLIM)

The American Journal of Clinical Nutrition
A lack of global consensus on diagnostic criteria for malnutrition in adults in diverse health care settings limits our ability to share meaningful data and compare promising interventions. The Global Leadership Initiative on Malnutrition (GLIM) is a collaborative global effort to address this shortcoming.
Gordon L Jensen, Charlene Compher
openaire   +2 more sources

Statistical Modelling in GLIM.

Biometrics, 1990
A. Ekholm   +4 more
  +5 more sources

Introduction to the GLIM session of the GLIM 89 and 4th International Workshop on Statistical Modelling

1989
It seems appropriate to start by considering this session and indeed the whole conference in the broader context of the role of statisticians and users of statistical methods in general. Only in this way can the current and future needs for technical developments and statistical packages such as GLIM be judged.
openaire   +1 more source

Utilization and Validation of the Global Leadership Initiative on Malnutrition (GLIM): A Scoping Review

Clinical Nutrition, 2022
Refaat Hegazi   +2 more
exaly  

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