Publications

El Barmi, H.  (2022).  On comparing competing risks using the ratio of their cumulative incidence functions.  To appear in   Annals of The Institute of Statistical Mathematics.

Al-Kandari, N. and El Barmi, H. (2022).  Restricted estimation of the cumulative incidence functions of two competing risks.  Journal of Statistical Planning and Inference.  217, 122-140.

El Barmi, H.,  Ganesh, M. and Mukerjee, H.  (2021). Estimation of a distribution function with increasing failure rate average.  Journal of Statistical Planning and Inference.   213, 179-192.

Chuan-Fa Tang, Dewei Wang, Hammou El Barmi & Joshua M. Tebbs (2021).  Testing for quadrant positive dependence.   The American Statistician.  75, 23-30.

El Barmi, H. (2020).  A test for the presence of stochastic ordering under right censoring: the k-sample case.  Annals of The Institute of Statistical Mathematics.   72(2), 451-470

El Barmi, H. (2017). Testing for the uniform stochastic ordering via empirical likelihood under right censoring. Statistica Sinica. 27, 645-664.

El Barmi, H., Malla, G and Mukerjee, H. (2017). Estimation of a star-shaped distribution function.  Journal of Nonparametric Statistics. 29, 22-39 |

El Barmi, H.and Mckeague, I. W. (2017). Testing for uniform stochastic ordering via empirical likelihood.  Annals of the Institute of Statistical Mathematics68, 955-976. http://www.columbia.edu/~im2131/ps/aism.pdf

El Barmi, H. and Wu, R. (2017). On estimation of peakedness-ordered distributions. Communications in Statistics-Theory and Methods. 46, 4855-4869.

Chang, H. W., El Barmi, H. and McKeague, I. W. (2016). Tests for stochastic ordering under biased sampling. Journal of Nonparametric Statistics, 28, 659-682. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5473665/

El Barmi, H. and Mukerjee, H. (2015). Consistent estimation of survival functions under uniform stochastic ordering; the k-sample case.Journal of Multivariate Analysis, 104, 99-109.

El Barmi, H. and El Bermi, L. (2015). On comparing cumulative incidence functions using an empirical likelihood type test. Communications in Statistics-Theory and Methods, 44(23), 4940-4952

El Barmi, H.and Mckeague, I. W. (2013). Empirical based tests for stochastic ordering. Bernoulli, 19, 295-307.https://projecteuclid.org/download/pdfview_1/euclid.bj/1358531751

El Barmi, H.and El Bermi, L. (2013). Empirical Likelihood ratio test for symmetry against type I bias with applications to competing risks. Journal of Nonparametric Statistics. 25(2), 487-498.

Al Kandari, N., Aly, E.-E. and El Barmi, H. (2012). Estimation of cumulative incidence functions when the lifetime distributions are uniformly stochastically ordered. Lifetime Data Analysis, 18, 19-35.

El Barmi, H.and Mukerjee, H. (2012). Peakedness and Peakedness Ordering. Journal of Multivariate Analysis. 111, 222-233.

Yu, W., El Barmi, H.and Ying, Z. (2011). Restricted one way analysis of variance using the empirical likelihood. Journal of Multivariate Analysis, 102(3), 629-640.

El Barmi, H., Johnson, M. and M., Mukerjee, H. (2010). Estimation of the cumulative incidence functions when the lifetime distributions are stochastically ordered. Journal of Multivariate Analysis, 101, 1903-1909.

El Barmi, H., Nunez, A. V.and  Zimmerman, D. (2009). “Testing For and Against a Set of Inequality Constraints: The k-Sample case”. Journal of Statistical Planning and Inference, 139(3), 1012-1022.

El Barmi, H.and Mukerjee, H. (2009). Peakedness and Peakedness Ordering in Symmetric Distributions. Journal of Multivariate Analysis, 100(4), 594-603.

El Barmi, H.and Marchev, D. (2009). “New and Improved Estimators of Distributions Functions under Second Order Stochastic Ordering.”. Journal of Nonparametric Statistics, 21(2), 143-153.

Solari, A., Salmaso, El Barmi, H. and Pesarin, F. (2008). “Conditional Tests in a Competing Risks Model”. Lifetime Data Analysis, 14, 154-166.

El Barmi, H., Kochar, S. and Mukerjee, H. (2008). Order Restricted Inference for Comparing the Cumulative Incidence Functions of a Competing Risk over Several Populations. IMS Lecture Notes in Honor of P.K.  Sen, 50-61.    https://arxiv.org/pdf/0805.2239.pdf

El Barmi, H. and Johnson, M. (2006). A Unified Approach to Testing For and Against a Set of Linear Inequality Constraints in the Multinomial Setting. Journal of Multivariate Analysis, 97, 1894-1912.

El Barmi, H., Kochar, S. and Tsimikas, J. (2006). Likelihood Ratio Test For and Against Ordering of Cumulative Incidence Functions in Multiple Competing Risks and Discrete Mark Variable Models. Journal of Statistical Planning and Inference, 136, 1588-1607.

El Barmi, H. and Mukerjee, H. (2006). Restricted Estimation of Cumulative Incidence Functions Corresponding to Competing Risks. Optimality, Second Lehmann Symposium,  IMS-LNMS, 241-252.

El Barmi, H. and Mukerjee, H. (2005). Inference under a Stochastic Ordering Constraint: the K-sample Case. Journal of the American Statistical Association, 100(469), 252-261.

El Barmi, H. and Alfieri, A. (2005). Nonparametric Estimation of a Distribution Function with Type I Bias with Applications to Competing Risks. Journal of Nonparametric Statistics, 3, 319-333.

El Barmi, H. and Mukerjee, H. (2004). Consistent Estimation of Distribution with Type II Bias with applications in Competing Risks Problems. Annals of Statistics, 32(1), 245-267. https://projecteuclid.org/download/pdf_1/euclid.aos/1079120136

El Barmi, H., Kochar, S., Mukerjee, H. and Samaniego, F. (2004). Inference for Subsurvival Functions under an Order Restriction. Journal of Statistical Planning and Inference, 118, 145-165.

Rojo, J. and El Barmi, H.. (2003). Estimation of Distribution Functions under Second Order Stochastic Orders Constraints. Statistica Sinica, 13, 903-926.

El Barmi, H. and Kochar, S. (2003). Inference for Survival Functions under Order Restrictions. Journal of the Indian Statistical Association, 40(2), 85-103.

El Barmi, H. and Nelson, P. (2002). A Note on Restricted Density Estimation in Selected Biased Models. Journal of Statistical Planning and Inference, 107, 353-364.

Tsimikas, J, Bosch, R., Coull, B. and El Barmi, H. (2002). A Profile Likelihood Approach for Inference on Highly Accurate Diagnostic Tests. Biometrics, 58, 946-956.

Xiong, C. and El Barmi, H. (2002). On Detecting Change in Likelihood Ratio Ordering. Journal of Nonparametric Statistics, 555-568.

Rothmann, M. and El Barmi, H. (2001). Convergence of some Stochastic Processes under Random Deletion when Arrivals Occur according to a Nonhomogeneous Poisson Process. Journal of Applied Probability, 38, 95-107.

El Barmi, H. and  Nelson, P. (2000). Three Monotone Density Estimators in Selection Biased Models. Journal of Statistical Computation and Simulation, 67, 203-217.

El Barmi, H. and Simonoff, J. (2000). Transformation-based Density Estimation for Weighted Distributions. Journal of Nonparametric Statistics, 12, 861-878.

El Barmi, H. and  Rothmann, M. (1999). Estimation of Weighted Multinomial Probabilities under Log Convex Constraints. Journal of Statistical Planning and Inference, 81, 1-11.

El Barmi, H. and  Dykstra, R. (1999). Likelihood Ratio Test Against a Set of Inequality Constraints. Journal of Nonparametric Statistics, 11, 233-250.

El Barmi, H. and  Zimmerman, D. (1999). Likelihood Ratio Test For and Against Decreasing in Transposition. Statistics and Probability Letters, 45, 1-10.

El Barmi, H. and Pontius, J. (1999). Testing Ordered Hypotheses in Animal Resource Selection Studies. .  Journal of Agriculture, Biological and Environmental Statistics, 5, 48-62.

Zimmerman, D., Nunez-Anton, V. and El Barmi, H. (1998). Computational Aspects of Likelihood Based Estimation of First Order Antedependence Models.  Journal of Statistical Computations and Simulations, 60, 67-84, 67-84.

El Barmi, H. and Dykstra, R. (1998). Maximum Likelihood Methods for Log Convex Models when Cell Probabilities are subject to Convex Constraints. Annals of Statistics, 26(5).  https://projecteuclid.org/download/pdf_1/euclid.aos/1024691361

El Barmi, H. and Rothmann, M. (1998). Nonparametric Estimation in Selection Biased Models in the Presence of Estimating Equations. Journal of Nonparametric Statistics, 9, 381-399.

El Barmi, H. and Rojo, J. (1997). Likelihood Ratio Test for Peakedness Ordering. Journal of Nonparametric Statistics, 7, 221-237.

El Barmi, H. (1997). Testing For or Against a Trend in the Odds Ratios in K 2×2 Contingency Tables. Communications in Statistics: Theory and Methods, 26, 1877-1891.

El Barmi, H. (1996). Empirical Likelihood Ratio Test For or Against a Set of Inequality Constraints. Journal of Statistical Planning and Inference, 55, 191-204.

El Barmi, H., Dykstra, R., Guffey, J. and Wright, T. (1996). Nonhomogeneous Poisson Processes as Overhaul Models. Canadian Journal of Statistics, 24, 217-228.

El Barmi, H. and Dykstra, R. (1996). Restricted Product Multinomial and Product Poisson Estimation based upon Fenchel Duality. Statistics and Probability Letters, 29, 117-123.

El Barmi, H., Harris, I. and Basu, A. (1996). Statistical Inference Concerning Weighted Poisson Rates under some Natural Order Restrictions. Journal of Applied Statistics, 23(5), 507-514..

El Barmi, H. and Kochar, S. (1995). Likelihood Ratio Test for Bivariate Symmetry against Ordered Alternatives in a Square Contingency Table. Statistics and Probability Letters, 22, 167-173.

El Barmi, H. and Dykstra, R. (1995). Testing For or Against a Set of Linear Inequality Constraints in a Multinomial Setting. Canadian Journal of Statistics, 23, 131-143.

Elbarmi, H., Nunez-Anton, V. and  Zimmerman, D. (1995). Una Nota sobre Matrices de Covarianzas con Inversas Tridiagonales. Estadística Española, 38(139), 201-215.

El Barmi, H. (1994). A Linear Quadratic Distributional Identity. Statistics and Probability Letters, 24, 33-37.

El Barmi, H. and Dykstra, R. (1994). Restricted Multinomial Maximum Likelihood Estimation based upon Fenchel Duality. Statistics and Probability Letters, 21, 121-130.

El Barmi H. and Dykstra, R. (1997). Chi Bar Square Distribution (vol. 1, pp. 89-93). Encyclopedia of Statistical Sciences,.

El Barmi, H. and Nelson, P. (1997). Inference from Stable Regression (pp. 415-432). Selected Proceedings of the Symposium on Estimating Functions.

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