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Journal of Educational Statistics, 1992
The use of statistical methods to combine the results of independent empirical research studies (meta-analysis) has a long history. Meta-analytic work can be divided into two traditions: tests of the statistical significance of combined results and methods for combining estimates across studies. The principal classes of combined significance tests are
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The use of statistical methods to combine the results of independent empirical research studies (meta-analysis) has a long history. Meta-analytic work can be divided into two traditions: tests of the statistical significance of combined results and methods for combining estimates across studies. The principal classes of combined significance tests are
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ORL, 2004
Systematic reviews use explicit and reproducible criteria to assemble, appraise, and combine articles with a minimum of bias. Meta-analysis is a form of systematic review that uses statistical techniques to derive quantitative estimates of the magnitude of treatment effects and their associated precision.
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Systematic reviews use explicit and reproducible criteria to assemble, appraise, and combine articles with a minimum of bias. Meta-analysis is a form of systematic review that uses statistical techniques to derive quantitative estimates of the magnitude of treatment effects and their associated precision.
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2017
James Tenney introduces a number of propositions, along with corresponding definitions and comments, concerning perceptual organization, musical parameters, formal perception and description, and entropy as a measure of variation. Among these propositions are: temporal gestalt-units (TGs) are formed at several different hierarchical levels during the ...
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James Tenney introduces a number of propositions, along with corresponding definitions and comments, concerning perceptual organization, musical parameters, formal perception and description, and entropy as a measure of variation. Among these propositions are: temporal gestalt-units (TGs) are formed at several different hierarchical levels during the ...
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2009
The application of Machine Learning (ML) and Data Mining (DM) tools to classification and regression tasks has become a standard, not only in research but also in administrative agencies, commerce and industry (e.g., finance, medicine, engineering).
Christophe Giraud-Carrier +3 more
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The application of Machine Learning (ML) and Data Mining (DM) tools to classification and regression tasks has become a standard, not only in research but also in administrative agencies, commerce and industry (e.g., finance, medicine, engineering).
Christophe Giraud-Carrier +3 more
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2013
In this chapter results of a research synthesis and quantitative meta-analyses of three facets of time effects in education are presented, namely time at school during regular lesson hours, homework, and extended learning time. The number of studies for these three facets of time that could be used for a qualitative synthesis (so-called vote counting ...
Hendriks, Maria A. +3 more
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In this chapter results of a research synthesis and quantitative meta-analyses of three facets of time effects in education are presented, namely time at school during regular lesson hours, homework, and extended learning time. The number of studies for these three facets of time that could be used for a qualitative synthesis (so-called vote counting ...
Hendriks, Maria A. +3 more
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2019 ACM/IEEE 22nd International Conference on Model Driven Engineering Languages and Systems (MODELS), 2019
Although artificial intelligence and machine learning are currently extremely fashionable, applying machine learning on real-life problems remains very challenging. Data scientists need to evaluate various learning algorithms and tune their numerous parameters, based on their assumptions and experience, against concrete problems and training data sets.
Thomas Hartmann +4 more
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Although artificial intelligence and machine learning are currently extremely fashionable, applying machine learning on real-life problems remains very challenging. Data scientists need to evaluate various learning algorithms and tune their numerous parameters, based on their assumptions and experience, against concrete problems and training data sets.
Thomas Hartmann +4 more
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Health Policy, 1991
Meta-analysis corresponds to all systematic methods which use statistical techniques for combining results from several independent studies. The aim is to get a consistent estimation of the global effect of a procedure on a specified outcome. The technique allows us to increase the power of statistical testing, and to get information which cannot be ...
F, Delahaye +3 more
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Meta-analysis corresponds to all systematic methods which use statistical techniques for combining results from several independent studies. The aim is to get a consistent estimation of the global effect of a procedure on a specified outcome. The technique allows us to increase the power of statistical testing, and to get information which cannot be ...
F, Delahaye +3 more
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