Amanote Research
Register
Sign In
Selection of Variables in Regression Models Based on Inflated Distributions
Pakistan Journal of Statistics and Operation Research
- Pakistan
doi 10.18187/pjsor.v7i2-sp.300
Full Text
Open PDF
Abstract
Available in
full text
Categories
Statistics
Probability
Uncertainty
Simulation
Management Science
Modeling
Operations Research
Date
August 12, 2011
Authors
Aruna Rao
Sumathi K
Publisher
Pakistan Journal of Statistics and Operation Research
Related search
Regression Test Selection Based on UML Models
Heteroscedastic Nonlinear Regression Models Based on Scale Mixtures of Skew-Normal Distributions
Statistics and Probability Letters
Uncertainty
Statistics
Probability
A Beta-Inflated Mean Regression Model With Mixed Effects for Fractional Response Variables
Journal of Statistical Computation and Simulation
Statistics
Probability
Applied Mathematics
Uncertainty
Simulation
Modeling
Zero-One-Inflated Simplex Regression Models for the Analysis of Continuous Proportion Data
Statistics and its Interface
Applied Mathematics
Statistics
Probability
Algorithm 55. Multiple Regression With Stepwise Selection of Variables
Applicationes Mathematicae
A Discussion of the Selection of Variables in Multiple Regression Analysis
Japanese journal of applied statistics
Ordinal Regression Models for Zero-Inflated and/or Over-Dispersed Count Data
Scientific Reports
Multidisciplinary
Variable Selection in Cox Regression Models With Varying Coefficients
Journal of Statistical Planning and Inference
Uncertainty
Applied Mathematics
Statistics
Probability
Unified Computational Methods for Regression Analysis of Zero-Inflated and Bound-Inflated Data
Computational Statistics and Data Analysis
Statistics
Probability
Applied Mathematics
Computational Theory
Computational Mathematics
Mathematics