Determinants of desire for children: a multinomial logistic regression approach
World population is a serious dilemma that is growing very fast. Most of the current global crises are the consequences of overpopulation. Overpopulation can result from growth rates driven by high fertility rates. Most of alarming growths are occurring in some Asian countries including Banglade...
| Main Authors: | Rana, Md. Sohel, Midi, Habshah, Sarkar, Saroje Kumar |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Marsland Press
2013
|
| Online Access: | http://psasir.upm.edu.my/id/eprint/30342/ http://psasir.upm.edu.my/id/eprint/30342/1/Determinants%20of%20desire%20for%20children.pdf |
Similar Items
A comparative study of logistic regression approach and stratified classical analysis on desire for children in Bangladesh
by: Sarkar, Saroje Kumar, et al.
Published: (2009)
by: Sarkar, Saroje Kumar, et al.
Published: (2009)
Collinearity diagnostics of binary logistic regression model
by: Midi, Habshah, et al.
Published: (2010)
by: Midi, Habshah, et al.
Published: (2010)
Validation and performance analysis of binary logistic regression model
by: Rana, Md. Sohel, et al.
Published: (2010)
by: Rana, Md. Sohel, et al.
Published: (2010)
Optimization techniques for variable selection in binary logistic regression model applied to desire for children data.
by: Sarkar, S.K., et al.
Published: (2009)
by: Sarkar, S.K., et al.
Published: (2009)
Adequacy of multinomial logit model with nominal responses over binary logit model.
by: Midi, Habshah, et al.
Published: (2011)
by: Midi, Habshah, et al.
Published: (2011)
Binary response model of desire for children in Bangladesh
by: Sarkar, Saroje Kumar, et al.
Published: (2009)
by: Sarkar, Saroje Kumar, et al.
Published: (2009)
Detection of outliers and influential observations in binary logistic regression: An empirical study.
by: Sarkar, S.K., et al.
Published: (2011)
by: Sarkar, S.K., et al.
Published: (2011)
Importance of assessing the model adequacy of binary logistic regression.
by: Sarkar, S.K., et al.
Published: (2010)
by: Sarkar, S.K., et al.
Published: (2010)
The effect of high leverage points on the maximum estimated likelihood for separation in logistic regression
by: Ariffin @ Mat Zin, Syaiba Balqish, et al.
Published: (2014)
by: Ariffin @ Mat Zin, Syaiba Balqish, et al.
Published: (2014)
Identifying factors that affecting the status of road accident in Malaysia: multinomial logistic regression approach / Ainul Hasanah Na’imuddin
by: Na’imuddin, Ainul Hasanah
Published: (2015)
by: Na’imuddin, Ainul Hasanah
Published: (2015)
Statistical significance of rank regression
by: Rana, Sohel, et al.
Published: (2013)
by: Rana, Sohel, et al.
Published: (2013)
Fixed parameters Support Vector Regression for outlier detection
by: Rana, Sohel, et al.
Published: (2018)
by: Rana, Sohel, et al.
Published: (2018)
Robust multivariate least angle regression
by: Uraibi, Hassan Sami, et al.
Published: (2017)
by: Uraibi, Hassan Sami, et al.
Published: (2017)
Robust bootstrap methods in logistic regression model
by: Ariffin, Syaiba Balqish, et al.
Published: (2012)
by: Ariffin, Syaiba Balqish, et al.
Published: (2012)
Robust regression imputation for analyzing missing data
by: Rana, Md. Sohel, et al.
Published: (2012)
by: Rana, Md. Sohel, et al.
Published: (2012)
Application of robust bootstrap techniques in logistic regression on intensive care unit data.
by: Midi, Habshah
by: Midi, Habshah
The predictive accuracy of Sukuk ratings; Multinomial Logistic and Neural Network inferences
by: Arundina, Tika, et al.
Published: (2015)
by: Arundina, Tika, et al.
Published: (2015)
Diagnostics of fitted binary logistic regression model based on individual subjects and covariate patterns
by: Sarkar, S. K., et al.
Published: (2010)
by: Sarkar, S. K., et al.
Published: (2010)
Robust logistic diagnostic for the identification of high leverage points in logistic regression model
by: Ariffin @ Mat Zin, Syaiba Balqish, et al.
Published: (2010)
by: Ariffin @ Mat Zin, Syaiba Balqish, et al.
Published: (2010)
A hybrid technique for selecting support vector regression parameters based on a practical selection method and grid search procedure
by: Rana, Sohel, et al.
Published: (2016)
by: Rana, Sohel, et al.
Published: (2016)
Diagnostic robust generalised potentials based on GM6 to identify high leverage points in simultaneous regression model
by: Midi, Habshah, et al.
Published: (2017)
by: Midi, Habshah, et al.
Published: (2017)
Binary response modeling and validation of its predictive ability
by: Midi, Habshah, et al.
Published: (2010)
by: Midi, Habshah, et al.
Published: (2010)
Robust estimators in logistic regression: A comparatives simulation study.
by: Midi, Habshah, et al.
Published: (2010)
by: Midi, Habshah, et al.
Published: (2010)
A robust rescaled moment test for normality in regression
by: Rana, Md. Sohel, et al.
Published: (2009)
by: Rana, Md. Sohel, et al.
Published: (2009)
Elastic net for single index support vector regression model
by: Dhhan, Waleed, et al.
Published: (2017)
by: Dhhan, Waleed, et al.
Published: (2017)
On a robust estimator in heteroscedastic regression model in the presence of outliers
by: Midi, Habshah, et al.
Published: (2013)
by: Midi, Habshah, et al.
Published: (2013)
Augmented approach to desirability function based on MM estimator
by: Midi, Habshah, et al.
Published: (2012)
by: Midi, Habshah, et al.
Published: (2012)
The performance of classical and robust logistic regression
estimators in the presence of outliers
by: Midi, Habshah, et al.
Published: (2012)
by: Midi, Habshah, et al.
Published: (2012)
Weighted high leverage collinear robust ridge estimator in logistic regression model
by: Ariffin, Syaiba Balqish, et al.
Published: (2018)
by: Ariffin, Syaiba Balqish, et al.
Published: (2018)
Estimation of regression parameters in the presence of heteroscedasticity with unknown form (HWUF)
by: Rana, Md. Sohel, et al.
Published: (2009)
by: Rana, Md. Sohel, et al.
Published: (2009)
Modified standardized Pearson residual for the identification of outliers in logistic regression model
by: Midi, Habshah, et al.
Published: (2013)
by: Midi, Habshah, et al.
Published: (2013)
Outlier detection in logistic regression and its application in medical data analysis
by: Ahmad, Sanizah, et al.
Published: (2012)
by: Ahmad, Sanizah, et al.
Published: (2012)
Diagnostics for residual outliers using deviance component in binary logistic regression.
by: Ahmad, Sanizah, et al.
Published: (2011)
by: Ahmad, Sanizah, et al.
Published: (2011)
Two-step robust estimator in heteroscedastic regression model in the presence of outliers
by: Midi, Habshah, et al.
Published: (2014)
by: Midi, Habshah, et al.
Published: (2014)
Types of covariate and distribution effects on parameter estimates and goodness-of-fit test using clustering partitioning strategy for multinomial logistic regression / Hamzah Abdul Hamid
by: Abdul Hamid, Hamzah
Published: (2017)
by: Abdul Hamid, Hamzah
Published: (2017)
Logistic regression modelling of mathematics ability among university undergraduate students.
by: Ahmad Tarmizi, Rohani, et al.
by: Ahmad Tarmizi, Rohani, et al.
Estimation of parameters in heteroscedastic multiple regression model using leverage based near-neighbors.
by: Midi, Habshah, et al.
Published: (2009)
by: Midi, Habshah, et al.
Published: (2009)
The effect of high leverage points on the logistic ridge regression estimator having multicollinearity
by: Ariffin @ Mat Zin, Syaiba Balqish, et al.
Published: (2013)
by: Ariffin @ Mat Zin, Syaiba Balqish, et al.
Published: (2013)
Logistic regression analysis of employment behavior data using randomized response technique
by: Suthar, Velo, et al.
Published: (2011)
by: Suthar, Velo, et al.
Published: (2011)
Detection of outliers in the response and explanatory variables of the simple circular regression model
by: Mahmood, Ehab A., et al.
Published: (2016)
by: Mahmood, Ehab A., et al.
Published: (2016)
Similar Items
-
A comparative study of logistic regression approach and stratified classical analysis on desire for children in Bangladesh
by: Sarkar, Saroje Kumar, et al.
Published: (2009) -
Collinearity diagnostics of binary logistic regression model
by: Midi, Habshah, et al.
Published: (2010) -
Validation and performance analysis of binary logistic regression model
by: Rana, Md. Sohel, et al.
Published: (2010) -
Optimization techniques for variable selection in binary logistic regression model applied to desire for children data.
by: Sarkar, S.K., et al.
Published: (2009) -
Adequacy of multinomial logit model with nominal responses over binary logit model.
by: Midi, Habshah, et al.
Published: (2011)