Results 251 to 260 of about 482,321 (300)

Multiple Factor Analysis of Dichotomous Audience Data

Journalism Quarterly, 1962
This department is devoted to shorter articles and notes on research in the communications field, either completed or in progress. Readers are invited to submit reports on investigative studies which might prove useful to other students because of content, method, or implications for further research.
Bruce H. Westley, Mervin D. Lynch
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Geometric Representations of Dichotomous Ordinal Data

2019
Motivated by the study of ordinal embeddings in machine learning and by the recognition of Euclidean preferences in computational social science, we study the following problem. Given a graph G, together with a set of relationships between pairs of edges, each specifying that an edge must be longer than another edge, is it possible to construct a ...
Patrizio Angelini, Michael A. Bekos, Martin Gronemann, Antonios Symvonis   +3 more
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ImageNet suffers from dichotomous data difficulty

2021
"The power of a generalization system follows directly from its biases" (Mitchell 1980). Today, CNNs are incredibly powerful generalisation systems---but to what degree have we understood how their inductive bias influences model decisions? We here attempt to disentangle the various aspects that determine how a model decides.
Meding, K., Schulze Buschoff, L., Geirhos, R., Wichmann, F.   +3 more
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Multilevel IRT using dichotomous and polytomous response data

British Journal of Mathematical and Statistical Psychology, 2005
A structural multilevel model is presented where some of the variables cannot be observed directly but are measured using tests or questionnaires. Observed dichotomous or ordinal polytomous response data serve to measure the latent variables using an item response theory model. The latent variables can be defined at any level of the multilevel model. A
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Sample sizes for repeated measurements in dichotomous data

Statistics in Medicine, 1991
AbstractWhen the measurement of outcome varies within studied subjects and the cost of additional subjects is high, taking more than one measurement for each subject constitutes a useful alternative to increase the power or to reduce the total cost of the study. In this paper, I present sample size formulae for repeated measurements in dichotomous data
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Statistical analysis for dependent dichotomous data.

Romanian journal of internal medicine = Revue roumaine de medecine interne, 1998
The analysis of means for attributes data (ANOMAD) is used--when normal approximation applies to binomial distribution--by extending the analysis of means (ANOM) introduced by Ott and Schilling. ANOMAD compares the individual proportions or dependent percentages or set of frequencies of subjects responding to different stimuli, with the grand average ...
J W, Drane, T, Postelnicu, E, Ursianu
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Measuring an Effect Size From Dichotomized Data

Journal of Educational and Behavioral Statistics, 2014
It is well known that dichotomizing continuous data has the effect to decrease statistical power when the goal is to test for a statistical association between two variables. Modern researchers however are focusing not only on statistical significance but also on an estimation of the “effect size” (i.e., the strength of association between the ...
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Learning ECOC and Dichotomizers Jointly from Data

2010
In this paper, we present a first study which learns the ECOC matrix as well as dichotomizers simultaneously from data; these two steps are usually conducted independently in previous methods. We formulate our learning model as a sequence of concave-convex programming problems and develop an efficient alternative minimization algorithm to solve it ...
Guoqiang Zhong, Kaizhu Huang, Cheng-Lin Liu   +2 more
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A note on the kappa statistic for clustered dichotomous data

Statistics in Medicine, 2014
AbstractThe kappa statistic is widely used to assess the agreement between two raters. Motivated by a simulation‐based cluster bootstrap method to calculate the variance of the kappa statistic for clustered physician–patients dichotomous data, we investigate its special correlation structure and develop a new simple and efficient data generation ...
Zhou, Ming, Yang, Zhao
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Statistical Aspects of Extrapolation of Dichotomous Dose-Response Data

JNCI: Journal of the National Cancer Institute, 1978
A mathematical model based on the hypothesis that carcinogenesis is a multistage process was proposed for the statistical problem of extrapolating the results of bioassay experiments performed at high dose levels of the carcinogenic risk at lower dose levels.
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