scholarly journals Sensitivity of Performance Indexes to Disaster Risk

Risks ◽  
2021 ◽  
Vol 9 (2) ◽  
pp. 40
Author(s):  
Jiro Hodoshima ◽  
Toshiyuki Yamawake
Keyword(s):  
Regression Analysis ◽  
Empirical Data ◽  
Performance Index ◽  
Numerical Estimate ◽  
Disaster Risk ◽  
Summary Statistics ◽  
Numerical Examples ◽  
Maximum Loss ◽  
Performance Indexes ◽  
Underlying Risk

We examine how sensitive the new performance indexes incorporating high moments and disaster risk are to disaster risk. The new performance indexes incorporating high moments and disaster risk are the Aumann-Serrano performance index and Foster-Hart performance index proposed by Kadan and Liu. These performance indexes provide evaluations sensitive to the underlying risk. We show, by numerical examples and empirical examples, how sensitive these indexes are to disaster risk. Although these indexes are known to be either quite sensitive or excessively sensitive to disaster risk or maximum loss in the literature, we show by the regression analysis of the index and summary statistics these indexes are in fact not excessively sensitive to maximum loss in representative stock data, which contain disastrous observations. The numerical estimate of the Foster-Hart performance index is found to be effective in showing the performance index. Our analysis suggests these indexes can handle various empirical data containing quite disastrous observations.

The Correlation between Time and Frequency Dynamic Performance of Control System

2014 ◽  
Vol 628 ◽  
pp. 186-189
Author(s):  
Meng Xiong Zeng ◽  
Jin Feng Zhao ◽  
Wen Ouyang
Keyword(s):  
Control System ◽  
Performance Index ◽  
Dynamic Performance ◽  
Frequency Domain Analysis ◽  
Practical Significance ◽  
Order System ◽  
Time Frequency ◽  
Performance Indexes ◽  
Quantitative Performance ◽  
The Stability

The control system performance requirement was divided into three parts. They were the stability, rapidity and accuracy. The time-frequency domain analysis in the requirements of three performance were measured through quantitative performance index. The mutual restriction of time-frequency performance and system characteristic parameters of normal second order was discussed. The correlation of system time-frequency performance index was established. The relationship between time-frequency performance indexes in standard two order system was extended to higher order system. The mutually constraining and time-frequency correlation between each performance index was obtained by analysis and calculation. The work had been done above had practical significance to reflect the system dynamic performance in different analytical domains.

scholarly journals Parallel Robot Translational Performance Evaluation through Direction-Selective Index (DSI)

2011 ◽  
Vol 2011 ◽  
pp. 1-14 ◽  
Author(s):  
G. Boschetti ◽  
R. Rosa ◽  
A. Trevisani
Keyword(s):  
Performance Evaluation ◽  
Performance Index ◽  
General Framework ◽  
Dynamic Performance ◽  
Parallel Manipulators ◽  
Parallel Robot ◽  
Performance Indexes ◽  
Definition Of ◽  
Performance Variations

Performance indexes usually provide global evaluations of robot performances mixing their translational and/or rotational capabilities. This paper proposes a definition of performance index, called direction-selective index (DSI), which has been specifically developed for parallel manipulators and can provide uncoupled evaluations of robot translational capabilities along relevant directions. The DSI formulation is first presented within a general framework, highlighting its relationship with traditional manipulability definitions, and then applied to a family of parallel manipulators (4-RUU) of industrial interest. The investigation is both numerical and experimental and allows highlighting the two chief advantages of the proposed DSIs over more conventional manipulability indexes: not only are DSIs more accurate in predicting the workspace regions where manipulators can best perform translational movements along specific directions, but also they allow foreseeing satisfactorily the dynamic performance variations within the workspace, though being purely kinematic indexes. The experiments have been carried out on an instrumented 4-RUU commercial robot.

scholarly journals ANALISIS PERANAN USAHA KECIL DAN MENENGAH TERHADAP PENYERAPAN TENAGA KERJA DI KABUPATEN KEBUMEN

2019 ◽  
Vol 18 (1) ◽  
pp. 26-35
Author(s):  
Anton Prasetyo ◽  
Miftahul Huda
Keyword(s):  
Regression Analysis ◽  
Multiple Regression Analysis ◽  
Multiple Regression ◽  
Empirical Data ◽  
Small And Medium Enterprises ◽  
Research Data ◽  
Sales Volume ◽  
Test Tool ◽  
Medium Enterprises

This research aims to analyze the factors that influence the role of Small and Medium Enterprises (SMEs) on employment, namely capital, sales volume, type of business, length of business, and wages. Empirical data is presented to prove that the role of small and medium enterprises on employment is influenced by capital, sales volume, type of business, length of business, and wages. Multiple regression analysis through the SPSS program was used as a research test tool. The research data was obtained from SMEs businesses, Central Bureau of Statistics and the SMEs Office to test scientifically whether capital, sales volume, type of business, duration of business, and wages affect employment. Research results show that the duration of the business influences the absorption of labor while capital, sales volume, type of business, and wages do not affect employment. Keywords: SMEs, capital, sales volume, type of business, length of business, wages

scholarly journals A Numerical Example of the Practical Use of Dummy Variables

1970 ◽  
Vol 2 (1) ◽  
pp. 197-201 ◽  
Author(s):  
Charles Sappington
Keyword(s):  
Regression Analysis ◽  
Dummy Variables ◽  
Numerical Examples ◽  
Alternative Models ◽  
Numerical Example

Although the use of dummy variables in regression analysis is quite common, the implications of alternative models for incorporating dummy variables are not generally understood. References dealing with the use of dummy variables are numerous but scattered in the literature. The purpose of this article is to demonstrate, using numerical examples, the implications and interrelationships among various models which incorporate dummy variables. Five separate models are considered.

A Disaster Risk Management Performance Index to Assess Safety and Security in Industrial Plants

2016 ◽  
Vol 841 ◽  
pp. 373-378 ◽  
Author(s):  
Fabio de Felice ◽  
Antonella Petrillo ◽  
Federico Zomparelli
Keyword(s):  
Risk Management ◽  
Performance Index ◽  
Integrated Approach ◽  
Disaster Risk ◽  
Disaster Risk Management ◽  
Management Performance ◽  
Analytic Hierarchy ◽  
Industrial Plants ◽  
Hierarchy Process

The goal of the research is to present an integrated approach that combines multi criteria analysis and disaster and emergency management. The study is based on a well know multi criteria technique, the Analytic Hierarchy Process (AHP). An AHP model is proposed in order to define a Disaster Risk Management Performance Index (DRMPI) that quantifies the performance and effectiveness of risk management to evaluate emergency alternative problems. This model is implemented in a real case study.

Life Satisfaction among Black Urban Elderly

1978 ◽  
Vol 8 (2) ◽  
pp. 169-179 ◽  
Author(s):  
James S. Jackson ◽  
John D. Bacon ◽  
John Peterson
Keyword(s):  
Life Satisfaction ◽  
Regression Analysis ◽  
Multiple Regression Analysis ◽  
Urban Area ◽  
Empirical Data ◽  
Urban Elderly ◽  
Large Urban Area ◽  
Men And Women ◽  
Number Of Factors ◽  
Personality Theories

Previous research in white aged populations often has been derived from disengagement, activity, or personality theories. The relevance, however, of any of these conceptual frameworks to black aged is problematic because of their development in white samples and the lack of empirical data documenting their applicability to non-whites. The lack of systematic empirical research on black aged, and particularly, on the determinants of life satisfaction, provided the major impetus for the present study. Interview schedules were individually administered to 102 non-institutionalized retired men and women residing in a large urban area. A multiple regression analysis revealed a number of factors related to life satisfaction. The results are supportive of previous studies in white samples but are sufficiently distinct to raise questions regarding the applicability of these prior findings to black aged.

scholarly journals PENGARUH INTELLECTUAL CAPITAL DAN RATA – RATA PERTUMBUHANNYA (ROGIC) TERHADAP KINERJA BANK SYARIAH BERDASARKAN ISLAMICITY PERFORMANCE INDEX DI INDONESIA

2021 ◽  
Vol 16 (1) ◽  
pp. 54-68
Author(s):  
Sasiska Rani ◽  
Martha Rianty N
Keyword(s):  
Regression Analysis ◽  
Data Analysis ◽  
Intellectual Capital ◽  
Performance Index ◽  
Sampling Technique ◽  
Profit Sharing ◽  
Average Growth ◽  
Analysis Techniques ◽  
Negative Effect ◽  
Positive Effect

This study examines the effect of intellectual capital and the average growth intellectual capital (ROGIC) on the performance of Syariah Banks based on the Islamicity Performance Index in Indonesia. The Islamicity Performance Index in this study is proxied by the Profit Sharing Ratio (PSR). The sample obtained was based on the purposive sampling technique in this study, namely 10 Syairah Banks from 2015 - 2019. This study used data analysis techniques in the form of multiple regression analysis. The results show that there is a negative effect between intellectual capital on the Islamicity Performance Index, which is proxied by the Profit Sharing Ratio (PSR). The average growth of intellectual capital (ROGIC) has a positive effect on the Islamicity Performance Index, which is proxied by the Profit Sharing Ratio (PSR).

scholarly journals PEMODELAN DAN PREDIKSI KEBUTUHAN LOGISTIK PASCA BENCANA DI SUMATERA BARAT

2021 ◽  
Vol 4 (1) ◽  
pp. 188-198
Author(s):  
Taufik Martha ◽  
Purnawan Purnawan ◽  
Hendra Gunawan
Keyword(s):  
Regression Analysis ◽  
Disaster Risk Reduction ◽  
Action Plan ◽  
Disaster Risk ◽  
Mountain Range ◽  
National Action Plan ◽  
Disaster Victims ◽  
Preventive Actions ◽  
Disaster Logistics ◽  
The Government

Sumatera is one if the areas that is located in the high land. Geographically, it is lied in the volcanic high land that is formed by Bukit barisan Mountain range Sumatera Barat which is rich in natural resources. But unfortunately, due ti its location, West Sumatera has also potentials to various natural disasters like earth quake, tsunami, landslide, land movement, flood and fire if compared to other areas as mentioned in National Action Plan for Disaster Risk Reduction 2012. There have been many preventive actions that have been done by the government. However, those actions are not accompanied by disaster logistics improvement. Modelling is undergone by optimizing the needs pf disaster logistics by considering the characteristics of disaster prone areas. This research is intended to predict the logistics needs by optimizing the needs of disaster victims in west sumatera. The method used is regression analysis by predicting yearly disaster logistics needs. The result of this research showed that the best mode is Y=401.81 + 0.001X1 + 14.55X6 + 37.58X9 – 10.53X14 with the prediction increase of the logistics needs for about 2.3% every year.

scholarly journals Agricultural Economists' Effectiveness in Reporting and Conveying Research Procedures and Results

2000 ◽  
Vol 29 (2) ◽  
pp. 173-182 ◽  
Author(s):  
Joe L. Parcell ◽  
Terry L. Kastens ◽  
Kevin C. Dhuyvetter ◽  
Ted C. Schroeder
Keyword(s):  
Regression Analysis ◽  
Degrees Of Freedom ◽  
Statistical Significance ◽  
Resource Economics ◽  
Economic Importance ◽  
Parameter Estimates ◽  
Summary Statistics ◽  
Economic Significance ◽  
Fourth Report

This study reviews articles using regression analysis published in the Journal of Agricultural and Resource Economics from 1994 to 1998 to determine agricultural economists’ effectiveness in reporting and conveying research procedures and results. Based on the authors’ experiences of surveying articles for this study, several suggestions for reporting of results and how to better separate statistical from economic significance are offered. First, clearly define the dependent variable—preferably in the results table as well as within the text. Second, report parameter estimates in an interpretable form either in the results table or in a subsequent table. Third, report summary statistics. Fourth, report degrees of freedom conspicuously in the results table. Fifth, report if statistically insignificant variables have been dropped. Lastly, weigh economic importance aside from statistical significance and use simulation to express economic significance where appropriate.

Sign in / Sign up

Export Citation Format

Share Document