by Center for Advanced Computation, University of Illinois at Urbana-Champaign in Urbana .
Written in English
Bibliography: leaf 25.
|Statement||by Clark W. Bullard|
|Series||CAC document -- no. 191, CAC document (University of Illinois at Urbana-Champaign. Center for Advanced Computation) -- no. 191.|
|The Physical Object|
|Pagination||25 leaves ;|
|Number of Pages||25|
The Input-Output Structure of the Economy: iHE results of BEA's study of input-output (I-O) relationships in the United States economy for are presented in this article. With the publication of these results, the number of comparable benchmark I-O tables is increased to four, and the timespan covered by these studies is extended toFile Size: 4MB. We use data from the U.S. Economic Input-Output Life Cycle Assessment (EIO-LCA) model to implement and demonstrate the utility of the uncertainty estimation method. We chose to use the model because in this model, the data in the A matrix and the R matrix were both from the same year; it is the only recent US IO-LCA model that has Cited by: 6. U.S. Department of Commerce THE BUSINESS SITUATION Frederick B. Dent / Secretary Consumer Spending 2 Durable Goods Manufacturing 4 National Income and Product Tables Federal Fiscal Program 10 14 Input-Output Structure of the U.S. Economy: 24 Sidney L. Jones / Assistant Secretary for Economic Affairs Edward D. Failor / Administrator 9 SESA. UNCERTAINTY TREATMENT IN INPUT-OUTPUT ANALYSIS 1. INTRODUCTION Input-output uncertainty and the scope of this survey The problem of uncertainty in input-output (IO) data, which may have real consequences in certain cases, is and most probably will always be present. Leontief.
Estimation and Impact Assessment of Input and Parameter Uncertainty in Predicting Groundwater Flow With a Fully Distributed Model ). The input data uncertainty is not considered in this. This paper addresses two major issues. The first is the introduction of uncertainty into the framework of classical deterministic regional input-output (I-O) analysis. Secondly, the role of the use of measurable flow data on the fundamental structure of the models is explored. The opening section uncovers an anomaly in the classical approach when flows between regions of final demand products Cited by: 4. b, j , 47 comp. gen. equipment - automatic data processing systems - selection and purchase - negotiation procedures the refusal of the air force in selecting a source for furnishing electric data processing equipment (edpe), to be purchased by general services administration (gsa) under the federal supply system, to discuss the technical deficiencies of the proposal. Nishi, A. () "On the Relation between the autoregressive pattern of input-output structure and the concept of average period of production: Shibata Kei's approch and Matsuo Tadasu's .
1. Introduction. Measurement uncertainty is irreducible no matter how accurate or precise the instruments become, and can be the result of gauge sensitivities, calibration accuracies, drifts due to environmental turbulence, and manipulation of the recorded data (Doiron and Stoup, ).There are, in general, two kinds of uncertainties in measurements of engineering variables: random Author: Wei Dai, Selen Cremaschi, Hariprasad J. Subramani, Haijing Gao. By the late s customers wanted to store more data on each punched card. Thomas J. Watson Sr., IBM’s head, asked two of his top inventors, Clair D. Lake and J. Royden Pierce, to independently develop ways to increase data capacity without increasing the size of the punched wanted to keep round holes and 45 columns, but allow each column to store more data. Input output selection based on worst case uncertainty Citation for published version (APA): Wal, van de, M. M. J. (). Input output selection based on worst case by: 2. The static input–output model has been used by academics and policy analysts for decades to investigate real world problems and provide advice to policy makers. From its initial development, the input–output model has continuously evolved to incorporate more complex situations in a systematic : Paul J. Thomassin.