A comparative study on balanced truncation and projection onto the dominant eigenspace of the Gramian using Laguerre functions by Shafiqul Islam, Saiduzzaman Sayed, Monir Uddin, Osman Gani

“… This paper presents a comparative analysis of two model reduction techniques: balanced truncation and projection onto the dominant eigenspace of the Gramian. …”
Get full text

DEVELOPMENT OF SEMIPARAMETRIC PATH ANALYSIS MODELING TRUNCATED SPLINE: DETERMINANTS OF INCREASED REGIONAL ECONOMIC GROWTH by Fachira Haneinanda Junianto, Adji Achmad Rinaldo Fernandes, Solimun Solimun, Rosita Binti Hamdan

“…This goal will be achieved with the help of statistical analysis methods, where the analysis used in this research is semiparametric truncated spline indirect effect and total effect analysis. …”
Get full text

Soliton Dynamics of the Nonlinear Kodama Equation with M-Truncated Derivative via Two Innovative Schemes: The Generalized Arnous Method and the Kudryashov Method by Khizar Farooq, Ali. H. Tedjani, Zhao Li, Ejaz Hussain

“…First, the nonlinear Kodama equation is transformed into a nonlinear ordinary differential equation using the homogeneous balance principle and a traveling wave transformation. …”
Get full text

Digital technology for spectral analysis of oscillation parameters by A. V. Gulaj, V. M. Zajcev

“…The limitations of the digit capacity of analogto-digital signal converters depending on the required accuracy of maintaining the energy balance when truncating the discrete Fourier expansions have been determined. …”
Get full text

Inverse probability weighting for causal inference in hierarchical data by Lin Hu, Jie Yu, Chunxia Yang, Miaoshuang Chen, Zihuan Tang, Rujun Liao, Chunnong Jike, Ju Wang, Ruobing Wang, Qiang Liao, Tao Zhang

“…Abstract Objective The aim of this study was to explore the impact of model misspecification, balance, and extreme weights on average treatment effect (ATE) estimation in hierarchical data with unmeasured cluster-level confounders using the multilevel propensity score model and inverse probability weight (IPW). …”
Get full text

Case-mix adjustment through inverse probability weighting to compare health indicators across territories or providers – an application in the agency for health protection of Milan... by Cristina Mazzali, Anita Andreano, Pietro Magnoni, Andrea Salvatori, Deborah Testa, Alberto Milanese, Adele Zanfino, Antonio Giampiero Russo

“…Methods To implement IPW, a multinomial logistic model, with group level as dependent and subject characteristics as independent variables, was used to estimate patient weights, which were subsequently stabilized and truncated. Checks on IPW assumptions and covariates balance were implemented both in a quantitative and in a graphical way. …”
Get full text