Regional input-output models using national data: The structure of the West Midlands economy Examines some methods of using national input-out tables at a regional level--specifically in the West Midlands region of England. Regional input-output models using national data; Structure of the West Mid...
3.2.3.6. Input-output models Only two studies appliedinput-output modelsfor poverty scenario analysis. Input-output models were utilized to evaluate the effects of different carbon tax rates on income distribution and poverty in Mexico by combining with household survey data (Renner, 2018), and the...
He developed the models to model economies using empirical data. He divided U.S. economy into 500 economic sectors and described the interdependence between sectors with input-output matrices. With input-output model, it became possible to determine the total output of industries that must be ...
Economic Input-output models for environmental life-cycle assessment Process and product models are commonly used for performing life-cycle assessments (LCAs) of the environmental impacts of materials and products through di... CT Hendrickson,A Horvath,S Joshi,... - 《Environmental Science & ...
2015-01-16上传 Input-Output System Models Leontief versus Ghosh:输入输出系统模型里昂惕夫与Ghosh模型,系统,帮助,里昂惕,里昂惕夫,Ghosh 文档格式: .pdf 文档大小: 208.08K 文档页数: 17页 顶/踩数: 0/0 收藏人数: 1 评论次数: 0 文档热度:
This work analyzes the performance of several black box nonlinear model identification techniques for input–output models with polynomial nonlinearities on a benchmark identification problem. The case study, proposed in Schoukens, Suykens, and Ljung (2008), concerns a nonlinear SISO electronic system ...
The objective of this project is the development of tools for building nonlinear models based on input/output data. The developed techniques build on results from nonlinear time series analysis, classical statistics and chemometrics. We show how to use the False Nearest Neighbor method to determine ...
Forest growth simulators go beyond a mere tabulation of empirical measurements by employing biometric models that functionally describe the dependence of f... T Mette,A Albrecht,C Ammer,... - 《Ecological Modelling》 被引量: 52发表: 2009年 Input–Output Budgets for Inorganic Nitrogen Under Acid ...
D Casasent,B Telfer - Neural Network Models for Optical Computing 被引量: 1发表: 1988年 Intelligent Signal Processing Based on a Psychologically-Inspired VLSI Brain Model(Special Section on the Trend of Digital Signal Processing and Its Future... the past experience in the on-chip vast memory...
This work deals with the identification of errors-in-variables models corrupted by white and uncorrelated Gaussian noises. By introducing an auxiliary process, it is possible to obtain a maximum likelihood solution of this identification problem, by means of a two-step iterative algorithm. This appro...