Amanote Research
Register
Sign In
Identifiability of Logistic Regression With Homoscedastic Error: Berkson Model
Modern Stochastics: Theory and Applications
- Lithuania
doi 10.15559/15-vmsta27
Full Text
Open PDF
Abstract
Available in
full text
Categories
Modeling
Statistics
Uncertainty
Probability
Simulation
Date
July 7, 2015
Authors
Sergiy Shklyar
Publisher
VTeX
Related search
Table 2: Logistic Regression Model Comparison.
The Odd Log-Logistic Geometric Normal Regression Model With Applications
Advances in Data Science and Adaptive Analysis
A Heart Disease Prediction Model Using Logistic Regression
International Journal of Trend in Scientific Research and Development
Revisit of Logistic Regression
International Journal of Advanced Computer Science and Applications
Computer Science
Enrollment Management: Development of Prediction Model Based on Logistic Regression
FME Transactions
Mechanics of Materials
Mechanical Engineering
Ordinal Logistic Regression Model: An Application to Pregnancy Outcomes
Journal of Mathematics and Statistics
Mathematics
Statistics
Probability
On Group Comparisons With Logistic Regression Models
Asymptomatic Distribution of Goodness-Of-Fit Tests in Logistic Regression Model
Open Journal of Statistics
The Origins of Logistic Regression
SSRN Electronic Journal
