A note on investigating co‐occurrence patterns and dynamics for many species, with imperfect detection and a log‐linear modeling parameterization [PDF]
Ecology and Evolution, 2021 Patterns in, and the underlying dynamics of, species co‐occurrence is of interest in many ecological applications. Unaccounted for, imperfect detection of the species can lead to misleading inferences about the nature and magnitude of any interaction.
Darryl I. MacKenzie +2 more
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Revstat Statistical Journal, 2003 Multiple Correspondence Analysis (MCA) and log-linear modeling are two techniques for multi-way contingency table analysis having different approaches and fields of applications.
S. Ben Ammou , G. Saporta
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Exploratory Multivariate Analysis of Mediator Organization in Canine Platelet-Rich Gel Under NSAID Exposure [PDF]
GelsPlatelet-rich gel (PRG) is a fibrin-based biobased biomaterial generated by activating platelet-rich plasma (PRP), yet its biological characterization has commonly relied on univariate measurements of isolated mediators.
Jorge U. Carmona +2 more
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On some pitfalls of the log-linear modeling framework for capture-recapture studies in disease surveillance. [PDF]
Epidemiol Methods, 2023 Zhang Y, Ge L, Waller LA, Lyles RH.
europepmc +2 more sources
A Log-Linear Modeling Approach for Differential Item Functioning Detection in Polytomously Scored Items. [PDF]
Educ Psychol Meas, 2020 Yesiltas G, Paek I.
europepmc +2 more sources
Topological regions and experimental carcinogenicity data of polycyclic aromatic hydrocarbons: a comprehensive resource for prediction models [PDF]
BMC Research NotesObjectives Predicting the carcinogenicity of polycyclic aromatic hydrocarbons (PAHs) is challenging due to their structural complexity and diverse biological activity.
Meressa Welearegay +5 more
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Frontiers in Microbiology, 2023 The real-time polymerase chain reaction (PCR), commonly known as quantitative PCR (qPCR), is increasingly common in environmental microbiology applications. During the COVID-19 pandemic, qPCR combined with reverse transcription (RT-qPCR) has been used to
Philip J. Schmidt +18 more
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Anomaly Detection for Log Sequence Based on Improved Temporal Convolutional Network [PDF]
Jisuanji gongcheng, 2020 Existing anomaly detection models for log sequence based on recurrent neural network perform well for shorter sequences,but underperform for long sequences.To address the problem,this paper proposes a general anomaly detection framework for log sequences
YANG Ruipeng, QU Dan, ZHU Shaowei, QIAN Yekui, TANG Yongwang
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Jurnal Teknologi Informasi dan Ilmu Komputer, 2022 Web server bertugas menjalankan aplikasi web untuk melayani request dari klien. Setiap interaksi yang dilakukan klien terhadap aplikasi web, tercatat pada catatan log server. Dari log tersebut, terdapat data detail tentang alamat IP, perangkat dan sumber
Kurnia Adi Cahyanto +2 more
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Multivariate Count Data Models for Time Series Forecasting
Entropy, 2021 Count data appears in many research fields and exhibits certain features that make modeling difficult. Most popular approaches to modeling count data can be classified into observation and parameter-driven models. In this paper, we review two models from
Yuliya Shapovalova +2 more
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