Research on the Method of Asset Valuation Based on Grey Statistics Evaluation

2014 ◽  
Vol 926-930 ◽  
pp. 3220-3223
Author(s):  
Qing Cong Zhao

When a security attribute of the assets assignment is valuated, the commonly used method is based on the analysis of the corporate business strategy, combined with the data value given directly by the experience and intuition of the evaluators. This assessment process is lack of scientific basis. Grey Statistical evaluation can composite the views of related personnel in different department and give confidence interval. The scientific, objective and impartial assignment process is ensured by the statistical results. For example of asset integrity assignment, the process can be completed by the method used of grey statistical evaluation.

2018 ◽  
Vol 44 ◽  
pp. 00121
Author(s):  
Sara Nicpoń ◽  
Paula Iliaszewicz ◽  
Maciej Leoniak ◽  
Agnieszka Trusz-Zdybek

For proper enumeration of protozoa in activated sludge good methodology is required. In this paper we present some remarks on microscopic methodology of protozoa enumeration. This remarks concern number of repetitions from one sample required to obtain good statistical results as well as influence of sample aeration on number of found protozoa. Presented data shows that at last 10 repetitions are required from each sample to obtain low average confidence interval. Lower number of repetitions leads to sharp increase in average confidence interval and loss of statistical significance while higher number does not decrease average confidence interval substantially. As measurements lasts for few hours lack of sample’s aeration during measurement leads to detection of lower by 27% number of protozoa.


Author(s):  
Ya. O. Adamenko

The paper discusses decision-making methods for the comparative assessment of alternatives in environmental impact assessment. The suggested framework for a systematic approach to the comparative assessment of alternatives in decision-making management involves multi-criteria utility theory; analytical hierarchy approach; multi-criteria alternatives ranking; and choice under uncertainty. The proposed decision-making methods mainly concern comparing alternatives and selecting the best one. Considerably often, criteria for evaluating alternatives are contradictory or use different methods and rating scales, which is the main problem for solving multi-criteria problems. The article also considers the steps for generation and analysis of alternatives and suggests the alternatives analysis procedure. The author’s experience proves that experts sometimes fail to provide a preferred alternative that would meet all conditions of multi-criteria analysis; therefore, it is necessary to return to the previous stage of the environmental impact assessment process, i.e. reducing negative impacts. All this brings out the need to develop a new scientific basis, to generate a new set of alternative environmental protection proposals, and to carry out the procedure for selecting the preferred alternative from the outset. After the preferred alternative, in compliance with all environmental protection needs, is selected, and the agreement on the best alternative is reached, experts can undertake a comprehensive environmental impact assessing.  The author suggests methods for the comparative assessment of the preferred alternative in environmental impact assessment, each having its merits and demerits and critically examines them in the article. The suggested procedure provides experts’ with decision-making methods of the comparative assessing alternatives in environmental impact assessment.


2012 ◽  
Vol 2012 ◽  
pp. 1-6 ◽  
Author(s):  
Leonid Kopylev

This review article provides an introduction to statistical issues that arise when some statistical model parameters are constrained. This often happens in applications, in particular in testing for variance components (e.g., genomics) and construction of one-sided confidence intervals (e.g., environmental risk analysis). Heuristic explanations are provided, and a number of general and recent statistical results that appeared in statistical literature are summarized for use in applications. Simulation results are shown for illustration of consequences of ignoring parameters on the boundary. Special attention is paid to likelihood ratio tests, but other approaches to confidence interval construction, such as Wald, bootstrap, and Bayesian are also briefly discussed. This paper presents examples from the risk assessment field and genomics, but all conclusions apply to whenever one-sided testing is conducted. Recommendations are provided for dealing with parameters on the boundary for a range of situations.


2019 ◽  
Vol 8 (4) ◽  
Author(s):  
Daniela Manila Bianchi ◽  
Ilaria Giorgi ◽  
Fabio Zuccon ◽  
Donatella De Somma ◽  
Valeria D'Errico ◽  
...  

In Italy, the Banco Alimentare Onlus manages a network of 8,000 charitable organizations that distribute 67,000 tons of foodstuffs to 1.6 million needy persons. To provide their volunteers with the required food safety knowledge, the Banco Alimentare del Piemonte Onlus commissioned the Istituto Zooprofilattico Sperimentale del Piemonte, Liguria e Valle d’Aosta to hold training courses in food safety. Before and after each session, the participants completed a questionnaire to evaluate their knowledge on the topic of food safety. The responses were entered in a dedicated database and analyzed using STATA ver. 15.1. Comparison of the scores for each participant before and after training revealed a considerable discordance [ICC 0.06, 95% confidence interval (CI) 0.00-0.18]. Analysis of the post-training questionnaires showed that the number of questions left unanswered decreased and the number of correct answers increased. The difference between the percentage of correct and incorrect responses before and after the training course was statistically significant (P<0.001). Comparison of responses to the pre- and post-training questionnaires provided the data for statistical evaluation of the efficacy of the training course.


1990 ◽  
Vol 5 (2) ◽  
pp. 105-109 ◽  
Author(s):  
Garry E. Hunt

Every business executive in every industry throughout the world is facing increasing and unrelenting competition. During the past decade this growing competition has brought with it the associated threat of survival of so many enterprises at a time when we are also experiencing the effects of a new industrial revolution created by the continuing and rapid advancements in information technology. In this paper we present the argument that the key to corporate success is associated with the development of the effective management of IT. The expenditures involved are now so large that they must be the concern of the Chief Executive Officer of the company. But, as we demonstrate, this is not the current situation in many organizations. The challenge of the ‘90s will be to integrate in an effective manner, the corporate business strategy with the increasing use of IT. In many cases, it will require a new style of management, but for those organizations who do not make this change, their corporate prosperity may be at stake. This paper sets out my personal view on this major issue, which was presented on the 23 April 1990, as the British Computer Society 1990 Jubilee lecture and sponsored by Computer Weekly.


Author(s):  
Emanuel Camilleri

The chapter illustrates how data mining and knowledge management concepts may be applied in a project oriented environment for both the private and public sectors. It identifies the project environment success roadmap that consists of four levels leading to project corporate success. Processes that control the dataflow for generating the projects data warehouse are identified and the projects data warehouse contents are defined. The rest of the chapter shows how data mining may be utilised at each project success level to increase the chances of delivering profitable projects that will have the intended impact on the corporate business strategy. The general conclusion is that there is a need to structure and prioritise information for specific end-user problems and to address a number of organizational issues that may facilitate the application of data mining and knowledge management in a project oriented environment. Finally, the chapter concludes by identifying the issues that need to be addressed by private and public sector organizations so that data mining may be utilised successfully in their decision making process.


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