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Research on Personal Credit Assessment Based on Neural Network-Logistic Regression Combination Model
Yajuan Huo, Huazhou Chen, Jiechao Chen
Open Journal of Business and Management
Vol.5 No.2,
April
14,
2017
DOI:
10.4236/ojbm.2017.52022
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An Application of Bootstrapping in Logistic Regression Model
Isaac Akpor Adjei, Rezaul Karim
Open Access Library Journal
Vol.3 No.9,
September
28,
2016
DOI:
10.4236/oalib.1103049
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The Performance of Robust Methods in Logistic Regression Model
Idriss Abdelmajid Idriss Ahmed, Weihu Cheng
Open Journal of Statistics
Vol.10 No.1,
February
28,
2020
DOI:
10.4236/ojs.2020.101010
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Identifying the dependency pattern of daily rainfall of Dhaka station in Bangladesh using Markov chain and logistic regression model
Mina Mahbub Hossain, Sayedul Anam
Agricultural Sciences
Vol.3 No.3,
May
15,
2012
DOI:
10.4236/as.2012.33045
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Stochastic Restricted Maximum Likelihood Estimator in Logistic Regression Model
Varathan Nagarajah, Pushpakanthie Wijekoon
Open Journal of Statistics
Vol.5 No.7,
December
30,
2015
DOI:
10.4236/ojs.2015.57082
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Asymptomatic Distribution of Goodness-of-Fit Tests in Logistic Regression Model
Nuri H. Salem Badi
Open Journal of Statistics
Vol.7 No.3,
June
12,
2017
DOI:
10.4236/ojs.2017.73031
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A New Stochastic Restricted Liu Estimator for the Logistic Regression Model
Weibing Zuo, Yingli Li
Open Journal of Statistics
Vol.8 No.1,
February
1,
2018
DOI:
10.4236/ojs.2018.81003
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A Review of the Logistic Regression Model with Emphasis on Medical Research
Ernest Yeboah Boateng, Daniel A. Abaye
Journal of Data Analysis and Information Processing
Vol.7 No.4,
October
12,
2019
DOI:
10.4236/jdaip.2019.74012
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Logistic Regression Model for the Academic Performance of First-Year Medical Students in the Biomedical Area
María Esther Urrutia-Aguilar, Ruth Fuentes-García, Vargas Danae Mirel Martínez, Edward Beck, Silvia Ortiz León, Rosalinda Guevara-Guzmán
Creative Education
Vol.7 No.15,
September
20,
2016
DOI:
10.4236/ce.2016.715217
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Properties of the Maximum Likelihood Estimates and Bias Reduction for Logistic Regression Model
Nuri H. Salem Badi
Open Access Library Journal
Vol.4 No.5,
May
24,
2017
DOI:
10.4236/oalib.1103625
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Study on Probability Estimation of Haze in Beijing Based Logistic Regression Model
Yonghua Zhu, Tian Zhang, Chenglin Chen
Journal of Geoscience and Environment Protection
Vol.5 No.6,
June
12,
2017
DOI:
10.4236/gep.2017.56005
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Use of Logistic Regression Model for Prediction of Non-Timber Forest Products
Alexandre Leandro Santos de Abreu, Ricardo de Oliveira Gaspar, Mirella Basileu de Oliveira Lima, Mauro Eloi Nappo, Eraldo Aparecido Trondoli
American Journal of Plant Sciences
Vol.8 No.11,
October
30,
2017
DOI:
10.4236/ajps.2017.811193
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Research on the Drunk Driving Traffic Accidents Based on Logistic Regression Model
Shaohua Wang, Yanyan Chen, Jianling Huang, Yuyang Zhou, Yao Lu
Open Journal of Applied Sciences
Vol.8 No.11,
November
9,
2018
DOI:
10.4236/ojapps.2018.811039
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The Behaviour of the Dispersion Matrix of the Information Matrix Test under the Wrong Logistic Regression Model
Nuri H. Salem Badi
Open Access Library Journal
Vol.8 No.2,
February
26,
2021
DOI:
10.4236/oalib.1107183
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Effect Modeling of Count Data Using Logistic Regression with Qualitative Predictors
Haeil Ahn
Engineering
Vol.6 No.12,
November
13,
2014
DOI:
10.4236/eng.2014.612074
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Predicting the Underlying Structure for Phylogenetic Trees Using Neural Networks and Logistic Regression
Hassan W. Kayondo, Samuel Mwalili
Open Journal of Statistics
Vol.10 No.2,
April
3,
2020
DOI:
10.4236/ojs.2020.102017
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COVID-19 Virus Prediction Using CNN and Logistic Regression Classification Strategies
Asadi Srinivasulu, Tarkeshwar Barua, Srinivas Nowduri, Madhusudhana Subramanyam, Sivaram Rajeyyagari
Journal of Data Analysis and Information Processing
Vol.10 No.1,
February
28,
2022
DOI:
10.4236/jdaip.2022.101005
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Evaluation of Best Management Practices in Millsboro Pond Watershed Using Soil and Water Assessment Tool (SWAT) Model
Aditya Sood, William F. Ritter
Journal of Water Resource and Protection
Vol.2 No.5,
May
27,
2010
DOI:
10.4236/jwarp.2010.25047
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Simulation Program to Determine Sample Size and Power for a Multiple Logistic Regression Model with Unspecified Covariate Distributions
Naoko Kumagai, Kohei Akazawa, Hiromi Kataoka, Yutaka Hatakeyama, Yoshiyasu Okuhara
Health
Vol.6 No.21,
December
24,
2014
DOI:
10.4236/health.2014.621336
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A New Aware-Context Collaborative Filtering Approach by Applying Multivariate Logistic Regression Model into General User Pattern
Loc Nguyen
Journal of Data Analysis and Information Processing
Vol.4 No.3,
August
18,
2016
DOI:
10.4236/jdaip.2016.43011