scholarly journals A Logistic Regression Analysis Approach for Sample Survey Data Based on Phi-Divergence Measures

2018 ◽  
pp. 465-474 ◽  
Author(s):  
Elena Castilla ◽  
Nirian Martín ◽  
Leandro Pardo
Keyword(s):  
Logistic Regression ◽  
Regression Analysis ◽  
Survey Data ◽  
Logistic Regression Analysis ◽  
Sample Survey ◽  
Analysis Approach ◽  
Divergence Measures ◽  
Sample Survey Data

Logistic regression analysis of sample survey data

Biometrika ◽  
1987 ◽  
Vol 74 (1) ◽  
pp. 1-12 ◽  
Author(s):  
G. ROBERTS ◽  
N. K. RAO ◽  
S. KUMAR
Keyword(s):  
Logistic Regression ◽  
Regression Analysis ◽  
Survey Data ◽  
Logistic Regression Analysis ◽  
Sample Survey ◽  
Sample Survey Data

scholarly journals PELUANG ALUMNI PENDIDIKAN MATEMATIKA FKIP UMB DALAM MENDAPATKAN PEKERJAAN DENGAN MENGGUNAKAN ANALISIS REGRESI LOGISTIK

2017 ◽  
Vol 10 (2) ◽  
pp. 85
Author(s):  
Mahyudi Mahyudi
Keyword(s):  
Logistic Regression ◽  
Regression Analysis ◽  
Mathematics Education ◽  
Survey Data ◽  
Logistic Regression Analysis ◽  
Work Experience ◽  
National Origin ◽  
College Graduation ◽  
The Road ◽  
Ordinal Logistic Regression Analysis

Graduation or college graduation become the most exciting moment for a student. In addition to successfully get a degree, they are also eager to enter the workforce. But sometimes the spirit was lost in the middle of the road. Many fresh graduates complain of difficult to get a job at this time. Every year the number of graduates to grow while jobs are not directly proportional to the increase in the number of graduates. The study analyzed what are the chances of graduates Mathematics Education FKIP Muhammadiyah University of Bengkulu in getting a job. Samples taken as many as 78 graduates between September 2015 to April 2016. The factors considered were gender, age, GPA, national origin, jobs for college and the work areas as desired. Analysis of survey data using ordinal logistic regression analysis. The results showed that the dominant factors that affect the length of the graduates in getting a job is GPA, work experience in college and the desired field of work.

Who does not get screened? A simple model of the complex relationships in mammogram non-attendance

2016 ◽  
Vol 21 (12) ◽  
pp. 2838-2850 ◽  
Author(s):  
Celia KN Sen ◽  
G Tarcan Kumkale
Keyword(s):  
Logistic Regression ◽  
Regression Analysis ◽  
Simple Model ◽  
Decision Trees ◽  
Survey Data ◽  
Logistic Regression Analysis ◽  
Demographic Groups ◽  
Complex Interactions ◽  
Intervention Planning ◽  
Complex Relationships

With increasing mammogram rates, identifying attributes of non-attending women entails going beyond differences in demographic groups to reveal complex interactions among personality attributes. In this study, we analyzed survey data from 474 women aged 41 years and older using decision trees. By incorporating personality, religiousness, and age, we were able to correctly classify 42.9 percent of non-attenders compared to 4.4 percent with logistic regression analysis. Our findings suggest that incorporating personality and religiousness attributes may increase non-attender identification. Furthermore, the simple profile generated by decision trees provides a clear map useful for intervention planning.

Regression analysis of Complex Sample Survey Data: results from a national Survey

2015 ◽  
Author(s):  
Haewon Byeon ◽  
Hee-Kyung Jin ◽  
Seong-Hun Yu ◽  
SungHyoun Cho
Keyword(s):  
Regression Analysis ◽  
Survey Data ◽  
National Survey ◽  
Sample Survey ◽  
Complex Sample ◽  
Sample Survey Data

Forensic Audit for Financial Frauds in Banks

2021 ◽  
pp. 236-249
Author(s):  
Md. Nur Alam Siddik
Keyword(s):  
Logistic Regression ◽  
Regression Analysis ◽  
Survey Data ◽  
Logistic Regression Analysis ◽  
Banking Sector ◽  
Financial Fraud ◽  
Positive Effects ◽  
The Impact

Traditional auditing has failed to control the jeopardy of increased financial frauds. Gradually, forensic auditing has been employed by organizations to control such frauds. Nonetheless, there is a dearth of studies examining the effects of forensic auditing on financial frauds. In particular, the impact of forensic auditing on financial frauds in Bangladesh is not examined. This study attempts to fill this gap. Using survey data of 182 respondents, this study applied logistic regression analysis. Findings indicate that forensic auditing has significant positive effects on the detection and prevention of financial fraud occurrences in the banking sector of Bangladesh. Findings also indicate that forensic auditing is competent to diminish financial frauds. Therefore, it is recommended to adopt forensic auditing in the banking sector of Bangladesh.

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