Regularized log-linear models for predicting underwater radiated noise spectra of small vessels
Underwater radiated noise (URN) from vessels is an anthropogenic stressor that negatively affects marine ecosystems. Accordingly, the ability to estimate URN levels is a critical component for environmental assessment.
Mark Shipton, Roee Diamant, Roee Diamant
doaj +1 more source
Log-linear Models and Closed Form Estimates for Missing Values in Two Dimensional Contingency Tables
The problem of missing data is frequently encountered in scientific research due to various reasons such as nonresponse in surveys, data recording errors, data loss, or limitations inherent in the study design. Missing data mechanisms are classified into
Emine Öçal +1 more
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Monitoring Multinomial Logit Profiles via Log-Linear Models (Quality Engineering Conference Paper)
In certain statistical process control applications, quality of a process or product can be characterized by a function commonly referred to as profile.
Rassoul Noorossana +3 more
doaj
Wide-Coverage Efficient Statistical Parsing with CCG and Log-Linear Models
Stephen Clark, James R. Curran
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Identifying pediatric cancer clusters in Florida using loglinear models and generalized lasso penalties. [PDF]
Wang H, Rodríguez A.
europepmc +1 more source
Changes in educational assortative mating in contemporary Spain
This article analyses patterns and trends in educational assortative mating of the Spanish women born between 1920 and 1969 using data from the 2001 Spanish Census. By means of loglinear models we examine the following issues: i) intensity and changes in
Clara Cortina, Albert Esteve
doaj
Gender and maladaptive personality correlates in problem gambling and over-indebtedness: Novel findings from a cross-sectional study in Sweden. [PDF]
Komzia N, Bäckström M, Håkansson A.
europepmc +1 more source
Measurement of functional mobility in multiple sclerosis: A crosswalk between the patient-determined disease steps and the Neuro-QoL Lower Extremity Function-Short Form. [PDF]
Gonzalez AS +3 more
europepmc +1 more source
Incorporating Machine Learning in Capture-Recapture Estimation of Survey Measurement Error
Capture-recapture (CRC) is currently considered a promising method to use non-probability samples to estimate survey measurement error. In previous studies, we derived adjusted survey estimates using CRC by combining probability-based survey data (as ...
Maaike Walraad +2 more
doaj
Taking measurement-based care to school: Evaluating teacher-report versions of the behavior and feelings survey and the top problems assessment. [PDF]
Evans SC +4 more
europepmc +1 more source

