Multiple Regression Prediction Model on Economic Loss under Typhoon

2014 ◽  
Vol 1065-1069 ◽  
pp. 2353-2356
Author(s):  
Bei Lei Xu ◽  
Li Ding Liu ◽  
Bai Feng Ji
Keyword(s):  
Prediction Model ◽  
Multiple Regression ◽  
Multivariate Regression ◽  
Economic Loss ◽  
Multivariate Regression Analysis ◽  
Economic Losses ◽  
Southeastern China ◽  
Factors Affecting ◽  
Disaster Data ◽  
Typhoon Disaster

China’s southeast coast is one of the regions with most severely influenced by typhoons in the world, which suffers significant casualties and huge economic losses every year. A multiple regression prediction model of the economic losses educed by typhoon disaster in coastal areas of southeastern china was proposed. The principles of multivariate regression analysis were introduced firstly and the Typhoon disaster data over the east coast of China were analyzed. Then, the affected area, deaths and houses collapsed were chose as the variables and a multivariate regression prediction model of the economic losses educed by typhoon disaster was proposed. The results indicate that the factors affecting the economic losses of typhoon disasters randomness were taken into account and the responses of the independent variables and the dependent variable from the statistical data were provided.

Trend Study on Economic Loss Induced by Typhoon Disaster in Chinas Southeast Coast

2013 ◽  
Vol 353-356 ◽  
pp. 2353-2356
Author(s):  
Bei Lei Xu ◽  
Li Ding Liu ◽  
Bai Feng Ji
Keyword(s):  
Regression Analysis ◽  
Economic Loss ◽  
Economic Losses ◽  
Upward Trend ◽  
Southeastern China ◽  
Affected Area ◽  
Exponential Regression ◽  
Southeast Coast ◽  
Typhoon Disaster ◽  
Direct Economic Losses

Chinas southeast coast is one of the regions with most severely influenced by typhoons in the world, which suffers significant casualties and huge economic losses every year. In this paper, the trends of economic loss educed by typhoon disaster in coastal areas of southeastern china were studied using regression analysis methods. Firstly, the data sources were introduced and the typhoon landing areas are all over the east coast of China were analyzed.Then, development trends of the affected area , deaths, houses collapsed and the direct economic losses were studied in detail. The results indicate that the affected area and deaths induced by typhoon disaster fluctuate greatly and the number of deaths has been showing a declining trend. The linear regression, exponential regression and logistic regression analysis results all indicate that the number of houses collapsed due to Typhoon present a downward trend year by year while the direct economic losses induced by typhoon disaster present an upward trend year by year.

scholarly journals Factors Affecting the Income of Vietnamese Peasants: A Case in Tra Vinh Province

2019 ◽  
Vol 10 (1) ◽  
pp. 54
Author(s):  
Ha Hong Nguyen ◽  
Trung Thanh Nguyen
Keyword(s):  
Regression Analysis ◽  
Data Collection ◽  
Multivariate Regression ◽  
Multivariate Regression Analysis ◽  
Analysis Method ◽  
Collection Method ◽  
Factors Affecting ◽  
Education Levels ◽  
Technical Advances ◽  
Production Areas

Studying the factors affecting the income of Vietnamese peasants: A case in Tra Vinh province, by data collection method of 170 peasants’ households in 4 districts: Cau Ngang, Cang Long, Chau Thanh and Tieu Can in Tra Vinh province, Vietnam. The authors use multivariate regression analysis method. The study has found the factors such as gender of households’s heads, ages of households’ heads, education levels, the number of family members, dependency rates, application of technical advances, production areas affecting the income of peasants in these areas. Since then, the study has implied a policy to improve the income of peasants. For example, it could be very important for us to focus on training science and technology in agriculture, diversify crops and livestock in agriculture, improve techniques and enhance education levels to increase income for peasants in Tra Vinh province in the future.

scholarly journals FACTORS AFFECTING WORK MOTIVATION OF CIVIL SERVANTS IN THUA THIEN HUE PROVINCIAL PEOPLE'S COMMITTEE

2019 ◽  
Vol 128 (5C) ◽  
pp. 81
Author(s):  
Le Van Phuc ◽  
Nguyen Hoang Ngoc Linh
Keyword(s):  
Regression Analysis ◽  
Working Conditions ◽  
Multivariate Regression ◽  
Work Motivation ◽  
Multivariate Regression Analysis ◽  
Civil Servants ◽  
Descriptive Statistics ◽  
Number Of Solutions ◽  
Factors Affecting ◽  
Research Results

<p><strong>Abstract:</strong> The purpose of this study is to examine the factors affecting the motivation of civil servants at the People's Committee of Thua Thien Hue province. Based on data collected from 181 officers at the People's Committee of Thua Thien Hue Province,  researchers processed all data by SPSS with some techniques such as: descriptive statistics, Cronbach's Alpha, Exploratory Factor Analysis (EFA) and Multivariate Regression Analysis... The research results show that there are 6 factors affecting the motivation of officers at the People's Committee of Thua Thien Hue province, including: (i) Working conditions; (ii) Nature of work; (iii) Career development opportunities; (iv) Income and benefits; (v) Relationship with leaders and (vi) Relationships with colleagues. Based on the research results, a number of solutions have been proposed to improve the work motivation in the People's Committee of Thua Thien Hue.</p><p><strong>Keywords: </strong>work motivation, civil servants, Thua Thien Hue Provincial People's Committee</p>

scholarly journals Associations between intraoperative nociceptive and early postoperative C-reactive protein levels in patients undergoing non-cardiac surgery under general anesthesia

2019 ◽  
Author(s):  
Shiroh Nakamoto ◽  
Hiroki Ogata ◽  
Ayano Saeki ◽  
Ryusuke Ueki ◽  
Nobutaka Kariya ◽  
...  
Keyword(s):  
Postoperative Complications ◽  
Prediction Model ◽  
General Anesthesia ◽  
Multivariate Regression ◽  
Validation Cohort ◽  
Multivariate Regression Analysis ◽  
C Reactive Protein ◽  
Reactive Protein ◽  
Major Complications ◽  
Duration Of Surgery

Abstract Background: Early detection of postoperative increase in C-reactive protein (CRP) predicts complications after surgery. The preoperative and intraoperative factors associated with postoperative CRP changes are potentially significant in the prophylactic management of postoperative complications. Although ongoing nociception during surgery under general anesthesia is one of potential candidates for these factors, it has not been evaluated with the unavailability of valid nociception measures in clinical practice. Then we adopted averaged values of nociceptive response (NR) throughout surgery as intraoperative nociceptive levels, being examined the association between perioperative factors, early changes in postoperative CRP levels, and postoperative complications Material and Methods: Data from 174 adult patients undergoing elective non-cardiac surgery under general anesthesia on perioperative variables, including age, sex, BMI, American Society of Anesthesiologists-physical status (ASA-PS), duration of surgery, mean NR during surgery as intraoperative nociceptive level, CRP levels before and after surgery on postoperative day (POD) 1, and postoperative complications using the extended Clavien-Dindo classification were retrospectively obtained in a training cohort. Multivariate regression analysis was performed to determine the independent factor of CRP levels on POD1and to develop a prediction model. In two validation cohorts, both 75 patients undergoing mastectomy (validation cohort A) and 139 patients undergoing laparoscopic or open abdominal surgery (validation cohort B) were separately selected, and retrospectively utilized to evaluate the value of the prediction model. Results: CRP levels on POD1 in the training cohort significantly increased in the order of Clavien-Dindo grades. Multivariate regression analysis selected mean NR, BMI, and duration of surgery to set up the prediction model of CRP level on POD1, which showed significant correlation with the measured CRP in both two validation cohorts. To confirm associations between mean NR, postoperative CRP, and major complications (Clavien-Dindo grade ≥ IIIa), we performed a propensity score matching in the validation cohort B, using age, BMI, ASA-PS, and duration of operations, finding that both mean NR and CRP levels on POD1 were significantly higher in patients with major complications than those without major complications. Conclusion: Increases in the intraoperative nociceptive level likely associated with early increases in CRP level after surgery. Keywords: C-reactive protein, Postoperative complications, Nociception.

scholarly journals Independent Predictors of Delay in Emergence From General Anesthesia

2015 ◽  
Vol 62 (1) ◽  
pp. 8-13 ◽  
Author(s):  
Shigeru Maeda ◽  
Yumiko Tomoyasu ◽  
Hitoshi Higuchi ◽  
Minako Ishii-Maruhama ◽  
Masahiko Egusa ◽  
...  
Keyword(s):  
Intellectual Disabilities ◽  
General Anesthesia ◽  
Antiepileptic Drugs ◽  
Multivariate Regression ◽  
Dental Treatment ◽  
Multivariate Regression Analysis ◽  
Emergence Time ◽  
Factors Affecting ◽  
Dental Patients ◽  
Time Parameters

Abstract Some patients with intellectual disabilities spend longer than others in emergence from ambulatory general anesthesia for dental treatment. Although antiepileptic drugs and anesthetics might be involved, an independent predictor for delay of the emergence remains unclear. Thus, a purpose of this study is to identify independent factors affecting the delay of emergence from general anesthesia. This was a retrospective cohort study in dental patients with intellectual disabilities. Patients in need of sedative premedication were removed from participants. The outcome was time until emergence from general anesthesia. Stepwise multivariate regression analysis was used to extract independent factors affecting the outcome. Antiepileptic drugs and anesthetic parameters were included as predictor variables. The study included 102 cases. Clobazam, clonazepam, and phenobarbital were shown to be independent determinants of emergence time. Parameters relating to anesthetics, patients' backgrounds, and dental treatment were not independent factors. Delay in emergence time in ambulatory general anesthesia is likely to be related to the antiepileptic drugs of benzodiazepine or barbiturates in patients with intellectual disability.

Multivariate Regression Analysis Using Statistics with R

2013 ◽  
Vol 765-767 ◽  
pp. 1572-1575
Author(s):  
Xiu Min Li
Keyword(s):  
Regression Analysis ◽  
Regression Model ◽  
Multiple Regression Analysis ◽  
Multiple Regression ◽  
Multivariate Regression ◽  
Multivariate Regression Analysis ◽  
Processing Data

Multiple regression analysis is a useful model in econometrics. It can be applied in many fields. Statistics software plays an important role in processing data. This paper gives a method to use R, constructs regression model, and explains the result.

Construing Reputation from Gender Diversity on Boards

Paradigm ◽  
2017 ◽  
Vol 21 (2) ◽  
pp. 111-125 ◽  
Author(s):  
Amanpreet Kaur ◽  
Balwinder Singh
Keyword(s):  
Emerging Economies ◽  
Corporate Reputation ◽  
Multivariate Regression ◽  
Gender Diversity ◽  
Multivariate Regression Analysis ◽  
Women Directors ◽  
Factors Affecting ◽  
Corporate Managers ◽  
Positive Quality

Corporate managers across the globe are on their toes to build favourable corporate reputation. Researchers have extricated many factors affecting corporate reputation. However, the role of gender diversity in enhancing corporate reputation is relatively an exotic area of research in emerging economies like India where women face vulnerable discrimination while contesting for board seats. The present study aims to unravel the relevance of female directors in convalescing corporate reputation by analysing data of 437 Indian companies in 2012, just prior to enactment of Companies Act, 2013. It was found that 60 per cent of the sample companies lack gender diversity and in fact employ no women director on the board. Results of multivariate regression analysis reveal that the presence of female on the board is perceived as a positive quality signal so as to enhance corporate reputation. The findings confer a motivation among Indian corporate managers to promptly adhere to the provisions of New Companies Act, 2013, mandating one woman director in boardroom, so as to procure benefits in terms of favourable corporate reputation. Baffled stakeholders can interpret women directors on the board as a clue to better governance and thereby perceive such companies propitiously.

scholarly journals ANALYSIS OF FACTORS AFFECTING DECISIONS TO OUTSOURCE LOGISTICS SERVICES OF SEAFOOD EXPORTERS IN THE MEKONG DELTA

2020 ◽  
Vol 1 (41) ◽  
pp. 1-9
Author(s):  
Tien Thi Ngoc Le ◽  
Nghiem Tan Le
Keyword(s):  
Regression Analysis ◽  
Multivariate Regression ◽  
Mekong Delta ◽  
Multivariate Regression Analysis ◽  
Positive Influence ◽  
Logistics Outsourcing ◽  
Factors Affecting ◽  
Logistics Services ◽  
Logistics Process ◽  
Outsourcing Decision

The objective of the study was to analyze the factors affecting the decisions to outsource logistics services of seafood exporting enterprises in the Mekong Delta. Data was collected by questionnaires from 100 seafoodexporting enterprises in the Mekong Delta using outsource logistics services. The study used exploratory factor analysis (EFA) and multivariate regression analysis. The research results identified four factors: (1) Strategy; (2) Costs; (3) Characteristics of the Logistics Process; (4) Characteristics of Logistics Providers, which had positive influence on logistics outsourcing decision of seafood exporters in the Mekong Delta.  

Factors Affecting Tourist Satisfaction with Traditional Craft Tea Villages in Thai Nguyen Province

2019 ◽  
pp. 153-167
Author(s):  
Nam Vu Quynh ◽  
Thien Tran Chi
Keyword(s):  
Multivariate Data Analysis ◽  
Multivariate Regression ◽  
Multivariate Regression Analysis ◽  
Government Support ◽  
Factors Affecting ◽  
Tourist Satisfaction ◽  
Tourism Destinations ◽  
Tourism Enterprises ◽  
Major Factors ◽  
Natural Characteristics

Data collected from a survey of 215 visitors in 3 traditional craft tea villages in Thai Nguyen province were analyzed by using multivariate data analysis (test for the reliability of the scales, exploratory factor analysis and multivariate regression analysis) to determine the factors that affect tourist satisfaction with the villages as tourism destinations. The results showed that natural characteristics, infrastructure, service quality, government support, and emotional values are major factors that influence tourist satisfaction. Based on that, the study proposed some solutions for the local government, tourism enterprises and the local communities to improve tourist satisfaction and develop traditional craft tea village tourism in Thai Nguyen province towards a sustainable manner.

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