Evaluation and Estimation of Outputs and Inputs in Inverse Data Envelopment Analysis with Interval Data by Hossein Jafari

Get full text

A Model for Assessing Sustainability and Performance Improvement of Countries via Data Envelopment Analysis by Sara yousefi, Zohreh Mousavi Kashi

Subjects: Get full text

Mixed Inverse Gaussian Analysis of Covariance for Censored Data: A Bayesian Approach by Ehsan Mesdaghi, Afshin Fallah, Rahman Farnoosh, Gholamhossein Yari

“…This paper proposes a model for analysis of covariance (ANCOVA) of censored data obtained from a positively skewed population by using the mixed inverse Gaussian (MIG) distribution. …”
Get full text

Reliability Analysis of Improved Type-II Adaptive Progressively Inverse XLindley Censored Data by Refah Alotaibi, Mazen Nassar, Ahmed Elshahhat

Get full text

Integrating Inverse Data Envelopment Analysis and Machine Learning for Enhanced Road Transport Safety in Iran by Seyyed Mojtaba Tabatabai, Fatemeh Al-Sadat Tabatabai

Get full text

Inverse cost and revenue efficiency in network processes with uncontrollable inputs by Fatemeh Gholami Golsefid, Monireh Jahani Sayyad Noveiri, Sohrab Kordrostami

“…Inverse data envelopment analysis (IDEA) estimates the inputs/outputs of each decision-making unit (DMU) based on the perturbations in the outputs/inputs while maintaining relative efficiency. …”
Get full text

Smart city rankings and startup ecosystems: An empirical analysis of inverse correlation across 77 smart cities by Aleksandra Kuzior, Viktoriia Marhasova, Viera Zozuľakova, Maria Kočnerova, Vitaliia Koibichuk, Lyudmila Ryabushka, Tetiana Vasylieva

“…The findings reveal that the Random Effects model yielded statistically significant results, indicating a weak (R² = 25.63%) but significant inverse relationship between SCI and startup ecosystem development, which means cities that rank higher on smart city metrics tend to show lower levels of startup ecosystem performance. …”
Get full text

A Bayesian-Weighted Inverse Gaussian Regression Model with Application to Seismological Data by Ehsan Mesdaghi, Afshin Fallah, Rahman Farnoosh, Gholam Hossein Yari

“…This is because the common analytic modeling procedures such as linear regression are often inappropriate for such data and leads to inadequate results. In this article, we proposed a new model for regression analysis of the right-skewed data by assuming the weighted inverse Gaussian, as a great flexible distribution, for response observations. …”
Get full text

The inversion of the single-stage hydraulic fracture parameters for shale gas well based on the shut-in pressure-drop data: a case of shale gas well in Changning N209 well area by ZHAO Yulong, CUI Qianchen, GAO Shangjun, CHEN Man, ZHENG Chuntao, ZHANG Liehui

“…It utilizes the fractal fracture characterizing fracture network in shale gas wells, and integrates numerical well testing analysis method to achieve the fracture parameter inversion of each single stage, and establishes a workflow for hydraulic fracture parameters inversion based on the pressure-drop data during shut-in fracturing stage. …”
Get full text

Development of a Bowtie Inversion Technique for Real‐Time Processing of the GOES‐16/‐17 SEISS MPS‐HI Electron Channels by A. Boudouridis, J.V. Rodriguez, B.T. Kress, B.K. Dichter, T.G. Onsager

Get full text

Transformer-Driven Inverse Learning for AI-Powered Ceramic Material Innovation With Advanced Data Preprocessing by Murad Ali Khan, Syed Shehryar Ali Naqvi, Muhammad Faseeh, Do-Hyeun Kim

“…The Transformer model, leveraging this enhanced data, demonstrated strong predictive performance, achieving an R2 score of 0.966 for component analysis and an outstanding R2 score of 0.982 for process analysis in Barium Titanate (BaTiO3) material data. …”
Get full text

Fourier coefficients-based stepwise Bayesian inversion for elastic and fracture parameters using azimuthal seismic data by Jingkun Sui, Haowen Xu, Sheng Chen, Xiaodong Zheng, Xinpeng Pan

“…Based on these sensitivity observations, we develop a stepwise Bayesian inversion approach that involves (1) computing the cosine and sine components of the Fourier coefficients for the azimuthal seismic data, (2) estimating normal and tangential fracture weaknesses using use the second-order Fourier coefficient within a Bayesian framework, and (3) recovering background P- and S-wave velocities and density using the zeroth-order Fourier coefficient along with the previously estimated fracture weaknesses. …”
Get full text

Evaluating the Ranikot formation in the middle Indus Basin, Pakistan as a promising secondary reservoir for development by Muhsan Ehsan, Rujun Chen, Muhammad Ali, Umar Manzoor, Syed Mohammad Naqi Naqvi, Abid Ali, Muyyassar Hussain, Kamal Abdelrahman, Jar Ullah

Get full text

Data analysis method of pump shutdown pressure based on water hammer effect and cepstrum transformation by WANG Xiaoqiang,ZHAO Li’an,WANG Zhiyuan,XIU Chunhong,JIA Guolong,DONG Yan,LU Detang

Get full text

Development of a new statistical distribution with insights into mathematical properties and applications in industrial data in KSA by Badr Aloraini, Abdulaziz S. Alghamdi, Mohammad Zaid Alaskar, Maryam Ibrahim Habadi

“…This study presents the development of a novel distribution through a transformation involving error functions, namely the error function inverse Weibull model, along with an overview of the fundamental characteristics of the proposed model. …”
Get full text

Advances in the pilot point inverse method: Où En Sommes-Nous maintenant? by White, Jeremy, Lavenue, Marsh

Get full text

Prediction of marl reservoir distribution based on facies-constrained reflectivity inversion method by Hao Zhang, Li Chen, Hua Zhu, Yongguang Xin, Yongxiao Wang, Xiaowei Sun

“…We propose a facies-constrained reflectivity inversion strategy. The method establishes a relationship between logging data and seismic waveforms, applies clustering analysis using the Self-Organizing Map (SOM) technique, and utilizes the clustering results to constrain the construction of an initial model with realistic lateral variations. …”
Get full text

Soil total nitrogen inversion and interpretability analysis using vis-NIR spectroscopy and transfer learning by Ping He, Yu Chen, Xingping Wen, Xiaohua Zhou, Zailin Chen, Zhongchang Sun, Xianfeng Cheng

Get full text

Inversion of SPAD Values of Pear Leaves at Different Growth Stages Based on Machine Learning and Sentinel-2 Remote Sensing Data by Ning Yan, Qu Xie, Yasen Qin, Qi Wang, Sumin Lv, Xuedong Zhang, Xu Li

Get full text

The role of development and financial risk in agricultural energy consumption: an empirical analysis based on country panel data and smooth transition regression by M. Amiri, S. N. Mousavi, R. Moghaddasi

Get full text