Results 31 to 40 of about 34,600,335 (260)
The Stabilizing Influences of Linking Set Size and Model–Data Fit in Sparse Rater-Mediated Assessment Networks [PDF]
Educational and Psychological Measurement, 2017 Previous research includes frequent admonitions regarding the importance of establishing connectivity in data collection designs prior to the application of Rasch models. However, details regarding the influence of characteristics of the linking sets used to establish connections among facets, such as locations on the latent variable, model–data fit ...
Stefanie A, Wind, Eli, Jones
openaire +2 more sources
Methodology, 2023 A shortcoming of least-squares unrestricted factor analysis (UFA) procedures, which are widely used in psychometric applications is that a test statistic for assessing model-data fit cannot be easily derived from the minimum fit function value. This paper proposes a chi-square type goodness-of-fit test statistic intended for the principal-axis, MINRES,
Urbano Lorenzo-Seva, Pere J. Ferrando
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, 2018 R script to calculate relative fit of alternative models of lineage diversification using ...
Guillermo Ortí (69121) +4 more
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Comparative study of three prediction models in predicting the milk yields of Yunnan Holstein cows
Indian Journal of Animal Sciences, 2020 The polynomial model and wood model have been extensively applied to predict the milk yield of cows, which aims to measure and partially explain the uncertainty under single factor condition.
ZHIYONG CAO +7 more
doaj +1 more source
Does Your Species Have Memory? Analysing Capture-Recapture Data with Memory Models. [PDF]
, 2014 1. We examine memory models for multi-site capture-recapture data. This is an important topic,as animals may exhibit behaviour that is more complex than simple first-order Markov movement between sites, when it is necessary to devise and fit appropriate ...
Morgan, Byron J. T. +12 more
core +1 more source
Model parameters calibrated to fit individual subject time-course data.
, 2023 Model parameters calibrated to fit individual subject time-course data.
Hideshi Kuzuya (9223377) +8 more
core +1 more source
Checking model-data weather hazard occurrence fit in the context of climate change [PDF]
, 2011 Peer ...
Tolosana Delgado, Raimon +3 more
openaire +2 more sources
Average patient 6-MP model fit to literature data.
, 2014 A. Model fit to RBC 6-TGN concentration data. B. Model fit to RBC MeMP concentration data. Solid dots represent data points and curves represent 6-MP model (Eqn. 2) fit. Error bars represent standard error.
Ann E. Rundell (196053) +4 more
core +1 more source
Latent Class Cluster Analysis: Selecting the number of clusters
MethodsX, 2022 Latent Class Cluster Analysis (LCCA) is an advanced model-based clustering method, which is increasingly used in social, psychological, and educational research.
Olga Lezhnina, Gábor Kismihók
doaj +1 more source
Pediatric Blood &Cancer, EarlyView.ABSTRACT Background Loneliness is associated with adverse physical and mental health outcomes and remains understudied in children and adolescents undergoing cancer therapy. Pediatric oncology patients may be at increased risk due to medical isolation and disruption of social networks.
Charlotte N. Stahlfeld +5 more
wiley +1 more source