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Full-Text Articles in Physical Sciences and Mathematics
Linear Free Energy Relationship Correlations For Room Temperature Ionic Liquids: Revised Cation-Specific And Anion-Specific Equation Coefficients For Predictive Applications Covering A Much Larger Area Of Chemical Space, Laura M. Sprunger, Jennifer Gibbs, Amy Proctor, William E. Acree Jr., Michael H. Abraham, Yunjing Meng, Cong Yao, Jared L. Anderson
Linear Free Energy Relationship Correlations For Room Temperature Ionic Liquids: Revised Cation-Specific And Anion-Specific Equation Coefficients For Predictive Applications Covering A Much Larger Area Of Chemical Space, Laura M. Sprunger, Jennifer Gibbs, Amy Proctor, William E. Acree Jr., Michael H. Abraham, Yunjing Meng, Cong Yao, Jared L. Anderson
Jared L. Anderson
Previously reported ion-specific equation coefficients for both the Abraham general solvation model and Goss modified Abraham model are updated using recently measured activity coefficient, gas chromatographic retention factor, and solubility data for solutes dissolved in room temperature ionic liquids (RTILs). Reported for the first time are equation coefficients for 1-propyl-2,3-dimethylimidazolium cation, and octylsulfate and thiocyanate anions. In total nine sets of cation-specific and eight sets of anion-specific equation coefficients have been determined for each model. The derived correlations describe the 976 experimental gas-to-RTIL partition coefficients to within a standard deviation of 0.12 log units and the 955 experimental water-to-RTIL partitions …
Quantile Regression, Roger Koenker, Kevin F. Hallock
Quantile Regression, Roger Koenker, Kevin F. Hallock
Kevin F Hallock
Quantile regression as introduced by Koenker and Bassett seeks to extend ideas of quantiles to the estimation of conditional quantile functions--models in which quantiles of the conditional distribution of the response variable are expressed as functions of observed covariates.
The Most Representative Composite Rank Ordering Of Multi-Attribute Objects By The Particle Swarm Optimization, Sudhanshu K. Mishra
The Most Representative Composite Rank Ordering Of Multi-Attribute Objects By The Particle Swarm Optimization, Sudhanshu K. Mishra
Sudhanshu K Mishra
Rank-ordering of individuals or objects on multiple criteria has many important practical applications. A reasonably representative composite rank ordering of multi-attribute objects/individuals or multi-dimensional points is often obtained by the Principal Component Analysis, although much inferior but computationally convenient methods also are frequently used. However, such rank ordering – even the one based on the Principal Component Analysis – may not be optimal. This has been demonstrated by several numerical examples. To solve this problem, the Ordinal Principal Component Analysis was suggested some time back. However, this approach cannot deal with various types of alternative schemes of rank ordering, mainly …
Basic Statistics-I, Durgesh Chandra Pathak
Basic Statistics-I, Durgesh Chandra Pathak
Durgesh Chandra Pathak
It's a presentation that I prepared for JRF-students in Development Studies.