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An Automated Profile-Likelihood-Based Algorithm for Fast Computation of the Maximum Likelihood Estimate in a Statistical Model for Crash Data
Published 2022-01-01“…In this paper, we consider the computing of the maximum likelihood estimate of the vector parameter of a statistical model of crash frequencies. We split the parameter vector, and we develop a new estimation algorithm using the profile likelihood principle. …”
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Ambient Vibration Based Damage Diagnosis Using Statistical Modal Filtering and Genetic Algorithm: A Bridge Case Study
Published 2013-01-01“…The authors recently developed a damage identification method which combines ambient vibration measurements and a Statistical Modal Filtering approach to predict the location and degree of damage. …”
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885
Study on Statistical Damage Theory Model of Tailings in a Metal Ore under the Action of Moisture Absorption and Dehumidification Circulation
Published 2020-01-01“…Giving full consideration of the change of tailing sand’s pore and volume in the deformation process, an improved statistical damage constitutive model is proposed; it can reflect that the residual strength of tailings after the peak value still has bearing capacity under the action of dry wet circulation. …”
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Analysis of Operating Conditions Pertaining to 3-Phase 4-Way Power Networks Using Statistical Method for Load Calculation
Published 2011-12-01“…The paper proposes a methodology for an analysis of phase-like load distribution and calculation of an optimum number of single electrical receivers per every phase of 3-phase 4-way power networks of 0.4/0.23 kV where a statistical method is used for calculation of electric loads. …”
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Developing clinical prognostic models to predict graft survival after renal transplantation: comparison of statistical and machine learning models
Published 2025-02-01Subjects: Get full text
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Measurement of Quality of Life VII. Statistical Covariation and Global Quality of Life Data: The Method of Weight-Modified Linear Regression
Published 2003-01-01“…Existing standard statistical procedures do not seem to fulfill the needs of the researcher in global quality-of-life (QOL) research, because the most interesting question seems to be the exact size of statistical covariations. …”
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Association between Drinking Habits and Oral Symptoms: A Cross-Sectional Study Based on Japanese National Statistical Data
Published 2020-01-01“…The purpose of this study was to investigate the association between drinking habits and subjective symptoms of the oral cavity based on Japanese national statistical data. Methods. The subjects were 8,698 respondents of the Japan National Livelihood Survey 2013, in their 30s to 60s. …”
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On the interaction between implicit statistical learning and the alternation advantage: Evidence from manual and oculomotor serial reaction time tasks.
Published 2025-01-01“…In this study, we examine how implicit statistical learning (ISL) interacts with the cognitive bias of the alternation advantage in serial reaction time (SRT) tasks. …”
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BIG DATA: HOW CAN INFORMATION TECHNOLOGIES HELP THE STATISTICS SERVICE TO INCREASE EFFICIENCY OF CALCULATION OF THE CONSUMER PRICE INDEX
Published 2018-04-01“…The object of the study is the state institution «Federal State Statistics Service» (ROSSTAT), the subject of the study - the process of calculating the CPI based on data coming to the ROSSTAT. …”
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Statistics of Conditional Fluid Velocity in the Corrugated Flamelets Regime of Turbulent Premixed Combustion: A Direct Numerical Simulation Study
Published 2011-01-01“…The statistics of mean fluid velocity components conditional in unburned reactants and fully burned products in the context of Reynolds Averaged Navier Stokes (RANS) simulations have been studied using a Direct Numerical Simulation database of statistically planar turbulent premixed flame representing the corrugated flamelets regime combustion. …”
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Privacy-preserving approach for IoT networks using statistical learning with optimization algorithm on high-dimensional big data environment
Published 2025-01-01“…In the period of big data, statistical learning has seen fast progressions in methodological practical and innovation applications. …”
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Modeling Count Outcomes from HIV Risk Reduction Interventions: A Comparison of Competing Statistical Models for Count Responses
Published 2012-01-01“…The in-depth look at these common issues arising from studies involving behavioral outcomes will promote sound statistical analyses and facilitate research in this and other related areas.…”
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