Improving the Determination of Heat Exchanger Thermal Resistances by Means of a Covariance Multiple Regression Model

1993 ◽  
Author(s):  
H. F. Khartabil ◽  
E. F. C. Somerscales
Keyword(s):  
Heat Exchanger ◽  
Regression Model ◽  
Multiple Regression ◽  
Multiple Regression Model

scholarly journals Pengalaman, Due Professional Care, Akuntabilitas dan Kualitas Audit

2021 ◽  
Vol 8 (01) ◽  
pp. 108-121
Author(s):  
Henni Andriani Syahril
Keyword(s):  
Data Analysis ◽  
Regression Model ◽  
Multiple Regression ◽  
Audit Quality ◽  
Multiple Regression Model ◽  
Survey Method ◽  
Convenience Sampling ◽  
Professional Care ◽  
The Impact

ABSTRACT This research was aimed to analyze and provide empirical evidences about the impact of  experience, due professional care, and accountability on audit quality. This study was conducted by using survey method with questionnaire.The population in this study are auditors who work in Inspectorate General of the Ministry of Health. This study used convenience sampling which was conducted by determination of samples counted with Slovin formula, so that only 89 questionnaires could be processed. Data analysis was conducted using multiple regression model. The result proved that experience, due professional care,and accountability on audit quality simultaneously. Besides that, this study proved that e, due professional care, and accountability, audit quality partially, but experienc didn’t influence audit quality. ABSTRAK Tujuan penelitian ini yaitu untuk mengetahui, menganalisis dan mendapatkan bukti empiris tentang pengaruh pengalaman, due professional care, dan akuntabilitas terhadap kualitas audit yang dimiliki auditor Inspektorat Jenderal Kementerian Kesehatan RI. Metode yang digunakan adalah survei dengan kuesioner. Populasi penelitian ini adalah semua auditor yang bekerja pada Inspektorat Jenderal Kementerian Kesehatan RI. Data dianalisis dengan melakukan uji validitas dan reliabilitas, uji asumsi klasik dan pengujian hipotesis dengan metode regresi linier berganda. Data yang digunakan untuk penelitian ini yaitu data primer dengan menyebarkan kuesioner kepada 89 responden. Hasil yang diperoleh menunjukkan bahwa secara simultan faktor pengalaman, due professional care dan akuntabilitas mempengaruhi kualitas audit, secara parsial due professional care dan akuntabilitas mempengaruhi kualitas audit, sedangkan pengalaman tidak berpengaruh terhadap kualitas audit.

Factors Affecting NPAs in Indian Banking Sector

Paradigm ◽  
2021 ◽  
Vol 25 (2) ◽  
pp. 181-193
Author(s):  
Nitya Garg
Keyword(s):  
Regression Model ◽  
Multiple Regression ◽  
Banking Sector ◽  
Relative Weight ◽  
Multiple Regression Model ◽  
Factors Affecting ◽  
Weight Analysis ◽  
Specific Factors ◽  
Relative Weight Analysis ◽  
Bank Specific Factors

Banking sector is the backbone of any economy, so it is necessary to focus on its performance which is largely affected by its non-performing assets (NPAs). In the year 2018–2019, NPA of scheduled banks was Rs 355,076 Crore which is 3.7% of net advances. The purpose of this study is to identify the determinants based on analysis from previous literatures, and majorly macroeconomic and bank specific factors which are affecting NPAs using the relative weight analysis and to frame a model to predict future NPAs using multiple regression model using SPSS. The study also attempts to focus on actions and remedies that banks should make to control future NPAs. Findings of the study will act as a scaffolding for financial analysts and policymakers to prevent the conversion of its performing assets into NPAs and also help in proper management of banks and also in the recovery of economy.

scholarly journals Determination of Emissivity of Brass Alloy using Infrared Thermographic Technique

2018 ◽  
Vol 65 (3) ◽  
pp. 115-121
Author(s):  
Zorana Lanc ◽  
Milan Zeljković ◽  
Aleksandar Živković ◽  
Branko Štrbac ◽  
Miodrag Hadžistević
Keyword(s):  
Surface Roughness ◽  
Regression Analysis ◽  
Multiple Regression ◽  
Strong Correlation ◽  
Three Dimensional ◽  
Multiple Regression Model ◽  
Infrared Images ◽  
Cooling Process ◽  
Brass Alloy

Abstract This paper presents the experimental determination of the dependence of emissivity of brass on surface roughness and temperature. The investigation was conducted using the infrared thermographic technique on brass alloy C27200 workpieces with different degrees of surface roughness, during the continuous cooling process. The results obtained showed that the emissivity of the chosen brass alloy increases with greater surface roughness and decreases during the cooling process, its value ranging from 0.07 to 0.19. It was concluded that surface roughness has a greater influence on the increase of the emissivity at higher temperatures, which can be seen in the three-dimensional infrared images. Multiple regression analysis confirmed a strong correlation between the examined parameters and the emissivity, and an original multiple regression model was determined.

scholarly journals Use of a Multiple Regression Model in the Estimation of Water Borehole Flows in the Middle of Cracked Basement in Côte d’Ivoire

2020 ◽  
Vol 12 (07) ◽  
pp. 527-544
Author(s):  
Assoué Kouakou Sylvestre Kouadio ◽  
Ouedraogo Moussa ◽  
Ismaïla Ouattara ◽  
Issiaka Savane
Keyword(s):  
Regression Model ◽  
Multiple Regression ◽  
Multiple Regression Model
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