Updating Prognosis and Therapeutic Effect Evaluation in Cirrhosis with Cox's Multiple Regression Model for Time-Dependent Variables

1986 ◽  
Vol 21 (2) ◽  
pp. 163-174 ◽  
Author(s):  
E. Christensen ◽  
P. Schlichting ◽  
P. Kragh Andersen ◽  
L. Fauerholdt ◽  
G. Schou ◽  
...  
Keyword(s):  
Regression Model ◽  
Multiple Regression ◽  
Therapeutic Effect ◽  
Multiple Regression Model ◽  
Time Dependent ◽  
Effect Evaluation ◽  
Dependent Variables ◽  
Therapeutic Effect Evaluation

scholarly journals FAKTOR-FATOR YANG MEMPENGARUHI WISATAWAN MENGUNJUNGI PANTAI ZAKAT DI KOTA BENGKULU

2018 ◽  
Vol 6 (1) ◽  
Author(s):  
Syamsul Huda ◽  
Jalal Ikhwan
Keyword(s):  
Regression Model ◽  
Multiple Regression ◽  
Hypothesis Test ◽  
Multiple Regression Model ◽  
Test Stage ◽  
Dependent Variables ◽  
Independent Variable ◽  
To Come ◽  
Test Result

Syamsul Huda, Jalal Ikhwan; The research aims to determine the number of variables that affect tourists visiting Zakat beach in Bengkulu city. The population used is the visitors who visit Zakat beach. The type of data implemented is the primery daya. The way of implement it is by spreading out of questioners. The research puts on two variables. First, it is the independent variable. It consist of servicing, the trimming of the facilities, safety and earning. Where as the dependent variables focuses on the readability of the visitors to visit Zakat beach. The test stage are done by utilizing spss. To create the hypothesis test stages, it can apply the multiple regression model and t-statistic test. Building upon the hypothesis test result, it has been uncovered that the quality of servicing and safety have significant effects to the readibility of the visitors to come to see Zakat beach in Bengkulu city of Bengkulu province. It can be concluded that the trimming of the facility and earnings do not make significant effects towards the viusitors readability to pay a visit to Zakat beach.Key Words: Service, Facilities, Security and Income.

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 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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