A Useful Empirical Bayesian Method to Analyse Industrial Data From Saturated Factorial Designs

International Journal of Industrial Engineering Computations - Canada
doi 10.5267/j.ijiec.2013.04.001
Full Text
Abstract

Available in full text

Date
Authors
Publisher

Growing Science

Related search

Fractional Factorial Designs

2014English

Application of Fractional Factorial Designs to Study Drug Combinations

Statistics in Medicine
EpidemiologyStatisticsProbability
2012English

A Bayesian Method for Inferring Quantitative Information From FRET Data

BMC Biophysics
Biophysics
2011English

Performing Contrast Analysis in Factorial Designs: From NHST to Confidence Intervals and Beyond

Educational and Psychological Measurement
DevelopmentalPsychologyEducational PsychologyApplied MathematicsApplied PsychologyEducation
2016English

Minimal Second Order Saturated Designs and Their Applications to Space-Filling Designs

Statistica Sinica
UncertaintyStatisticsProbability
2021English

Esterel V7: From Verified Formal Specification to Efficient Industrial Designs

Lecture Notes in Computer Science
Computer ScienceTheoretical Computer Science
2005English

Consequences of Using Estimated Response Values From Negligible Interactions in Factorial Designs

Quality and Reliability Engineering International
RiskManagement ScienceReliabilitySafetyQualityOperations Research
2018English

A Bayesian Approach to Analyse Genetic Variation Within RNA Viral Populations

PLoS Computational Biology
Molecular NeuroscienceEvolutionEcologyGeneticsBehaviorMolecular BiologySystematicsSimulationCellularComputational TheoryMathematicsModeling
2011English

Application of an Efficient Bayesian Discretization Method to Biomedical Data

BMC Bioinformatics
BiochemistryApplied MathematicsComputer Science ApplicationsStructural BiologyMolecular Biology
2011English

Amanote Research

Note-taking for researchers

Follow Amanote

© 2024 Amaplex Software S.P.R.L. All rights reserved.

Privacy PolicyRefund Policy