scholarly journals Assessment of the Relationship between Coastal Morphometry, Bottom Dynamic Conditions and the Critical Depth

2011 ◽  
Vol 4 ◽  
pp. ASWR.S6918 ◽  
Author(s):  
Dan Lindgren ◽  
Magnus Karlsson
Keyword(s):  
Regression Models ◽  
Coastal Areas ◽  
Critical Depth ◽  
Dynamic Conditions ◽  
Mass Balance Models ◽  
Multiple Regression Models ◽  
Average Proportion ◽  
Statistical Relationships ◽  
The Relationship ◽  
Different Sources

Coastal sediment can be classified by functional bottom type, depending on whether cohesive fine material is eroded (E), transported (T) or deposited/accumulated (A) there. The assessment of such bottom dynamic conditions is useful in many ways, including as a fundament for structuring mass balance models. In this paper more than 200 recently investigated Swedish coastal areas were analyzed using geographic information systems (GIS). Statistical relationships between morphometry, the average proportion of A-areas (BA) and the average critical depth (DTA), which separates ET-areas from A-areas, were investigated. Many morphometric parameters showed significant correlation with both BA and DTA and multiple regression models were obtained that could explain much of the variation in these parameters. Parameters describing sheltering effects from islands, mean depth and mean slope were important in this context. Large differences were found in empirical BA-values from two different sources. Furthermore, a new empirical dataset was presented for 209 Swedish coastal areas.

The Effects of Prepaid Metering Systems on Customer Satisfaction in Niger State, Nigeria

2021 ◽  
Vol 2 (2) ◽  
Author(s):  
Ayooluwa Femi Aribisala ◽  
Musa Mohammed
Keyword(s):  
Customer Satisfaction ◽  
Regression Models ◽  
Response Rate ◽  
Spearman Correlation ◽  
Electricity Use ◽  
Customer Care ◽  
Level Of Satisfaction ◽  
Multiple Regression Models ◽  
The Relationship ◽  
Structured Questionnaire

Energy consumers in Nigeria have long complained about Distribution Companies' unfair billing practices, exorbitant monthly electricity bills resulting from meter estimation rather than accurate meter reading and calculation based on uninterrupted electricity use. The objectives of the study were to establish the relationship between the prepaid metering system and customer satisfaction; and to evaluate the level of satisfaction with respect to the usage of the prepaid metering system in Niger State, Nigeria. In carrying out the study, the structured questionnaire was administered to 393 randomly chosen respondents drawn from prepaid meter users, out of which 344 responded generating a response rate of 87.5%. The data derived were subjected to spearman correlation and multiple regression models. The major findings from the study showed a significant, moderate and positive relationship between the prepaid metering system and customer satisfaction. Additionally, three significant predictors, Affordability, Availability and Flexibility with p < .01 are statistically significant. Further findings from descriptive statistics revealed that users had the highest level of satisfaction with the privacy they had as a result of no meter readers and no accumulated. The study concluded that there exist a positive and beneficial link between the prepaid metering system and customer satisfaction. The study therefore recommends the provision of a smart metering system, good customer care units and a marketing campaign for better knowledge of the prepaid metering system.

scholarly journals STAFF EXPENSES AND ITS EFFECT ON THE BANK'S NET PROFIT

2018 ◽  
Vol 3 (3) ◽  
pp. 63-71
Author(s):  
Prem Bahadur Budhathoki ◽  
Chandra Kumar Rai
Keyword(s):  
Regression Models ◽  
Annual Report ◽  
Pearson Correlation ◽  
Predictor Variable ◽  
Descriptive Statistics ◽  
Fiscal Year ◽  
Research Journal ◽  
Net Profit ◽  
Multiple Regression Models ◽  
The Relationship

The aim of the study is to explore the relationship between a net profit of Nepalese commercial banks with staff expenses and staff bonus. This study is based on panel data which is collected from five sampled banks through the review of the annual report during the study period of fiscal year 2012/13 to 2016/17. These collected data are analyzed by using descriptive statistics, Pearson correlation coefficient, and log-log multiple regression models. The Mini-Tab software is used for the analysis of data. The results indicate that the predictor variable staff expenses do not significantly impact on net profits of the bank even though they are positively correlated. On the other hand, the response variable (net profit) is significantly affected by the predictor variable staff bonus. Researcher: A Research Journal of Culture and SocietyVol. 3, No. 3, January 2018, Page: 63-71 

scholarly journals ANALISIS PENGARUH FAKTOR VARIABEL MAKROEKONOMI TERHADAP JAKARTA ISLAMIC INDEX (JII) PERIODE 2010 – 2013

2014 ◽  
Vol 3 (2) ◽  
Author(s):  
Herni Ali
Keyword(s):  
Exchange Rate ◽  
Interest Rates ◽  
Regression Models ◽  
Secondary Data ◽  
Macroeconomic Variables ◽  
Multiple Regression Models ◽  
Negative Effect ◽  
The Exchange Rate ◽  
The Relationship ◽  
Positive Effect

The aim of this study is examining the relationship between cointergration and causality levels of Exchange Rate, GDP, BI interest rates and inflation on Islamic Capital Markets. The data used in this study is a quantitative secondary data in the form of time series of the period January 2010 to December 2013. The test were conducted with the approach of multiple regression models with variable index research JII (Y), the exchange rate (X1), GDP (X2) , BI rate (X3) and inflation (X4) as for hypothesis testing performed using SPSS statistical software. From the results obtained by testing the hypothesis that: a positive effect on the exchange rate, positive effect on GDP, interest harga sewa rates BI negative effect and inflation positive effect on JII. Simultanious testing into four macroeconomic variables affect the JII.DOI: 10.15408/sjie.v3i2.2061   

scholarly journals Relationship between Board Structure and Volatility of Stock Returns of Selected Companies Listed on BSE

YMER Digital ◽  
2021 ◽  
Vol 20 (12) ◽  
pp. 205-214
Author(s):  
Fatemeh Mohammadhosseini ◽  
◽  
Dr. H Rajashekar ◽  
Keyword(s):  
Stock Returns ◽  
Regression Models ◽  
Stock Exchange ◽  
Board Structure ◽  
Iron And Steel ◽  
Company Value ◽  
Good Corporate Governance ◽  
Multiple Regression Models ◽  
The Relationship

Good corporate governance enhances the quality of listed companies. It forms a scientific constraint and necessary incentive mechanism that motivates managers to take risks, leading to increased company value. The study considered cement, iron, and steel companies listed on the Bombay Stock Exchange (BSE) to assess the relationship between board structure and volatility of stock returns. The study's main objective was to analyze the relationship between board structure and volatility of stock returns. The relationship between board structure and volatility of stock returns was tested using SPSS through descriptive statistics, f-test, and multiple regression models. It was found that board structure possessed a positive relationship with the volatility of stock returns during the study period.

scholarly journals How to choose kinematic or mechanical alignment individually according to preoperative characteristics of patients?

2020 ◽  
Author(s):  
Chong Luan ◽  
Dong-Tan Xu ◽  
Ning-Jie Chen ◽  
Fei-Fei Wang ◽  
Kang- Song Tian ◽  
...  
Keyword(s):  
Regression Models ◽  
Varus Deformity ◽  
Computer Assisted ◽  
Mechanical Alignment ◽  
Assisted Navigation ◽  
Multiple Regression Models ◽  
Total Knee ◽  
One Year ◽  
Minimum Followup ◽  
The Relationship

Abstract Background Making decisions in alignment techniques in total knee arthroplasty (TKA) remains controversial. This study aims to identify the potential patients who were suitable for the kinematic (KA) or mechanical alignment (MA). Methods We reviewed 296 consecutive patients (296 TKAs, including 114 KA-TKAs and 182 MA-TKAs) who underwent unilateral TKA using a computer-assisted navigation from 2016 to 2018 in our prospectively maintained database. The minimum followup was one year. Clinical outcomes including the range of motion (ROM) and knee society score (KSS) were compared between KA-TKAs and MA-TKAs. Multiple regression models were used to evaluate the relationship between alignment techniques and KSS at the 1-year followup. Interaction and stratified analyses were conducted according to gender, age, body mass index (BMI), preoperative hip-knee-ankle (HKA) angle, ROM and KSS.Results ROM and KSS at the 1-year followup didn't differ between MA-TKAs and KA-TKAs (all p>0.05). Alignment techniques did not associate with postoperative ROM (Adjusted β=0.4, 95% confidence interval [CI]: -0.3, 1.6; p=0.752) or 1-year KSS (Adjusted β=2.2, 95%CI: -0.7, 5.6; p=0.107). Patients with a BMI more than 30 kg/m^2 achieved better 1-year KSS when using MA than KA (p for interaction<0.05). Additionally, patients with preoperative HKA angle more than 10 degrees varus benefited more from KA than MA (p for interaction<0.05).Conclusions Patients with severe varus deformity may be suitable for the KA technique, whereas MA should be used in obese patients.

scholarly journals Relationship between Pre-Competition Mental State and Sport Result of Disabled Boccia Athletes

2020 ◽  
Vol 17 (21) ◽  
pp. 8232
Author(s):  
Magdalena Koper ◽  
Anna Nadolska ◽  
Piotr Urbański ◽  
Maciej Wilski
Keyword(s):  
Mental State ◽  
Self Efficacy ◽  
Regression Models ◽  
Athletic Identity ◽  
Self Esteem ◽  
Sport Performance ◽  
Psychological Variables ◽  
Multiple Regression Models ◽  
Potential Impact ◽  
The Relationship

The relationship between sport result and pre-competition mental state of 109 boccia athletes was analyzed. Mental state was described by: athletic identity, self-esteem, self-efficacy for sports, hope for success, fear of failure, anxiety, and expectancy of success. Correlation analyses were made for all four boccia classes (BC1, BC2, BC3, and BC4) and revealed that only athletic identity was associated with sport result in class BC4. Four hierarchical multiple regression models (for BC1, BC2, BC3, and BC4 boccia classes) were created, with sport result as the dependent variable. Only the BC4 model was significant and included athletic identity, anxiety, self-efficacy for sports, and expectancy of success, which explained 49% of variance in sport result. BC4 class results indicate that psychological variables have a potential impact on sport performance in boccia, and the type and level of disability should be taken into account.

scholarly journals How to choose kinematic or mechanical alignment individually according to preoperative characteristics of patients?

2020 ◽  
Author(s):  
Chong Luan ◽  
Dong-Tan Xu ◽  
Ning-Jie Chen ◽  
Fei-Fei Wang ◽  
Kang- Song Tian ◽  
...  
Keyword(s):  
Regression Models ◽  
Knee Society Score ◽  
Varus Deformity ◽  
Mechanical Alignment ◽  
Obese Patients ◽  
Portable Navigation ◽  
Multiple Regression Models ◽  
Total Knee ◽  
Minimum Followup ◽  
The Relationship

Abstract Background Making decision in alignment techniques in total knee arthroplasty (TKA) remains controversial. This study aims to identify the potential patients who were suitable for the kinematic (KA) or mechanical alignment (MA).Methods We reviewed 296 patients (296 TKAs, including 114 KA-TKAs and 182 MA-TKAs) who underwent unilateral TKA using a portable navigation system from 2016 to 2018 in our prospectively maintained database. The minimum followup was 1 year. Clinical outcomes including range of motion (ROM) and knee society score (KSS) were compared between KA-TKAs and MA-TKAs. Multiple regression models were used to evaluate the relationship between alignment techniques and KSS at the 1-year followup. Interaction and stratified analyses were conducted according to gender, age, body mass index (BMI), preoperative hip-knee-ankle (HKA) angle, ROM and KSS. Results ROM and KSS at the 1-year followup didn’t differ between MA-TKAs and KA-TKAs (all p>0.05). Alignment techniques did not associate with postoperative ROM (Adjusted β=0.4, 95% confidence interval [CI]: -0.3, 1.6; p=0.752) or 1-year KSS (Adjusted β=2.2, 95%CI: -0.7, 5.6; p=0.107). Patients with BMI more than 30 kg/m^2 achieved better 1-year KSS when using MA than KA (p for interaction<0.05), Additionally, patients with preoperative HKA angle more than 10 degrees varus benefited more from KA than MA (p for interaction<0.05). Conclusions Patients with severe varus deformity may be suitable for the KA technique, whereas MA should be used in obese patients.

scholarly journals Economic Liberalization in Nepal: Determinants, Structure, and Trends of FDI

The Winners ◽  
2017 ◽  
Vol 18 (1) ◽  
pp. 33
Author(s):  
Raghu Bir Bista
Keyword(s):  
Direct Investment ◽  
Regression Models ◽  
Positive Relationship ◽  
Econometric Model ◽  
Production Model ◽  
Model Based ◽  
Multiple Regression Models ◽  
The Impact ◽  
Fdi Determinants ◽  
The Relationship

This research examined the relationship between FDI (Foreign Direct Investment) and GDP (Gross Domestic Product) along with the impact of FDI determinants on FDI inflow in Nepal. This research used literature review by doing multiple regression models. This research used an econometric model based on Cobb Douglas Production Model and a theoretical growth model based on Solow Growth. The result indicates the positive relationship between GDP and FDI. Furthermore, liberalization and privatization policies are positive, but insecurity is disturbing.

scholarly journals Analysis of Factor Affecting e-Commerce Potential of any Country using Multiple Regression

2020 ◽  
Vol 8 (1) ◽  
pp. 1-17
Author(s):  
Ansar Waseem ◽  
Keyword(s):  
Multiple Regression ◽  
Cyber Security ◽  
Regression Models ◽  
Relative Effect ◽  
Integrative Model ◽  
Policy Makers ◽  
Multiple Regression Models ◽  
Per Capita ◽  
Rapid Diffusion ◽  
Different Sources

The advancement of Information Technology and Telecommunication has opened new avenues for business. These astonishing developments have led to rapid diffusion of ecommerce which is gaining popularity around the globe and it is contributing to the economic growth of country. This study aims to develop an integrative model based on different factors which can affect the growth of e-commerce in any country. For this purpose, data of 145 countries for year 2014 was obtained from different sources. Nine different Multiple Regression Models were proposed by combination of different factors in order to analyze their relative effect on growth of e-commerce. Findings suggest that the sensitivity of the e-commerce potential was highest for GNI per Capita and Readiness Sub-Index, respectively. Similarly, other factors such as education level, urbanization and social media users were also found significantly associated with e-commerce potential. However, Cyber Security and Business Prospects were found to be statistically non-significant in few of the models. The paper concludes with few suggestions for government and policy makers to increase e-commerce growth in the country

scholarly journals How to choose kinematic or mechanical alignment individually according to preoperative characteristics of patients?

2020 ◽  
Author(s):  
Chong Luan ◽  
Dong-Tan Xu ◽  
Ning-Jie Chen ◽  
Fei-Fei Wang ◽  
Kang- Song Tian ◽  
...  
Keyword(s):  
Regression Models ◽  
Varus Deformity ◽  
Computer Assisted ◽  
Mechanical Alignment ◽  
Assisted Navigation ◽  
Multiple Regression Models ◽  
Total Knee ◽  
One Year ◽  
Minimum Followup ◽  
The Relationship

Abstract Background Making decisions in alignment techniques in total knee arthroplasty (TKA) remains controversial. This study aims to identify the potential patients who were suitable for the kinematic (KA) or mechanical alignment (MA). Methods We reviewed 296 consecutive patients (296 TKAs, including 114 KA-TKAs and 182 MA-TKAs) who underwent unilateral TKA using a computer-assisted navigation from 2016 to 2018 in our prospectively maintained database. The minimum followup was one year. Clinical outcomes including the range of motion (ROM) and knee society score (KSS) were compared between KA-TKAs and MA-TKAs. Multiple regression models were used to evaluate the relationship between alignment techniques and KSS at the 1-year followup. Interaction and stratified analyses were conducted according to gender, age, body mass index (BMI), preoperative hip-knee-ankle (HKA) angle, ROM and KSS.Results ROM and KSS at the 1-year followup didn't differ between MA-TKAs and KA-TKAs (all p>0.05). Alignment techniques did not associate with postoperative ROM (Adjusted β=0.4, 95% confidence interval [CI]: -0.3, 1.6; p=0.752) or 1-year KSS (Adjusted β=2.2, 95%CI: -0.7, 5.6; p=0.107). Patients with a BMI more than 30 kg/m^2 achieved better 1-year KSS when using MA than KA (p for interaction<0.05). Additionally, patients with preoperative HKA angle more than 10 degrees varus benefited more from KA than MA (p for interaction<0.05).Conclusions Patients with severe varus deformity may be suitable for the KA technique, whereas MA should be used in obese patients.

Sign in / Sign up

Export Citation Format

Share Document