N. M. Khan

发表

An INAR(1) model with Poisson-Lindley innovations

M. Bourguignon, Tito LÃvio, N. M. Khan, 2018 .

Modeling road traffic accidents in Mauritius using clustered longitudinal COM-Poisson with gamma random effects

N. M. Khan, Ashwinee Devi Soobhug, Z. Jannoo, 2020 .

Communication in Statistics-Theory and methods improved GQL estimation method for the generalised BINMA(1) model

N. M. Khan, Y. Sunecher, V. Jowaheer, 2019 .

A GQL estimation approach for analysing non-stationary over-dispersed BINAR(1) time series

N. M. Khan, Y. Sunecher, V. Jowaheer, 2017 .

Use of vector divisions in solving quasi-likelihood equations for a Poisson model

N. M. Khan, 2012 .

Analyzing Data on Breastfeeding Using Dispersed Statistical Models

N. M. Khan, Cheika Jahangeer, Maleika Heenaye-Mamode Khan, 2010 .

Application of a Statistical Model to Biological Data Analysis: Exclusive Breastfeeding

N. M. Khan, Cheika Jahangeer, Maleika Heenaye-Mamode Khan, 2010 .

Model for Analyzing Counts with Over-,Equi-and Under-Dispersion in Actuarial Statistics

N. M. Khan, Maleika Heenaye-Mamode Khan, 2010 .

Poisson Autoregressive and Moving-Average Models for Forecasting Non-stationary Seasonal Time Series of Tourist Counts in Mauritius

N. M. Khan, Y. Sunecher, V. Jowaheer, 2013 .

An assessment of the determinants of Mauritian automobile insurance claims using negative binomial and gamma regression models

N. M. Khan, Z. Jannoo, Y. Sunecher, 2018, Journal of Statistics and Management Systems.

Generalized difference-based weighted mixed almost unbiased liu estimator in semiparametric regression models

N. M. Khan, F. Akdeniz, M. Roozbeh, 2020, Communications in Statistics - Theory and Methods.

Re-visiting the COVID-19 analysis using the class of high ordered integer-valued time series models with harmonic features

S. Nadarajah, N. M. Khan, Ashwinee Devi Soobhug, 2022, Healthcare Analytics.

A BINAR(1) time-series model with cross-correlated COM–Poisson innovations

N. M. Khan, Y. Sunecher, V. Jowaheer, 2018 .

Modelling Football Data Using a GQL Algorithm based on Higher Ordered Covariances.

N. M. Khan, Y. Sunecher, V. Jowaheer, 2017 .

The Effect of Risk Factors on Cardiovascular Vascular Diseases in Mauritius

N. M. Khan, Cheika Jahangeer, Maleika Heenaye-Mamode Khan, 2010 .

Bivariate Poisson 2Sum-Lindley Distributions and the Associated BINAR(1) Processes

M. R. Irshad, C. Chesneau, N. M. Khan, 2022, Mathematics.

BINMA(1) model with COM-Poisson innovations: Estimation and application

Yuvraj Sunecher, Vandna Jowaheer, Naushad Mamode Khan, 2018, Commun. Stat. Simul. Comput..

Computing with bivariate COM-Poisson model under different copulas

Yuvraj Sunecher, Vandna Jowaheer, Naushad Mamode Khan, 2017, Monte Carlo Methods Appl..

A Primer on a Flexible Bivariate Time Series Model for Analyzing First and Second Half Football Goal Scores: The Case of the Big 3 London Rivals in the EPL

M. Bourguignon, N. M. Khan, Y. Sunecher, 2018, Annals of Data Science.

Estimation Methods for a Flexible INAR(1) COM-Poisson Time Series Model

N. M. Khan, Y. Sunecher, V. Jowaheer, 2018 .

Estimating Regression Effects in Com Poisson Generalized Linear Model

Vandna Jowaheer, Naushad Mamode Khan, N. M. Khan, 2009 .

Investigating GQL-based inferential approaches for non-stationary BINAR(1) model under different quantum of over-dispersion with application

Yuvraj Sunecher, Maleika Heenaye-Mamode Khan, Miroslav M. Ristic, 2018, Comput. Stat..

A Computationally Efficient Algorithm to Solve Generalized Method of Moments Estimating Equations based on Secant- Vector Divisions Procedure

N. M. Khan, M. Heenaye, 2011 .

Assessing Diabetes Distress Among Type 2 Diabetes Mellitus in Malaysia Using the Problem Areas in Diabetes Scale.

A. Farcomeni, N. M. Khan, B. W. Yap, 2019, Value in health regional issues.

Analyzing the Factors Influencing Exclusive Breastfeeding Using the Generalized Poisson Regression Model

N. M. Khan, Cheika Jahangeer, Maleika Heenaye-Mamode Khan, 2009 .

Analyzing the Computational Complexities of the Quasi-Likelihood Estimation Approach: Application to Breastfeeding Data

N. M. Khan, Cheika Jahangeer, Maleika Heenaye-Mamode Khan, 2011 .

A Study on Exclusive Breastfeeding using Over-dispersed Statistical Models

N. M. Khan, Cheika Jahangeer, Maleika Heenaye-Mamode Khan, 2010 .

Comparing Joint GQL Estimation and GMM Adaptive Estimation in COM-Poisson Longitudinal Regression Model

Vandna Jowaheer, Naushad Mamode Khan, N. M. Khan, 2013, Commun. Stat. Simul. Comput..

Modelling with the Novel INAR(1)-PTE Process

Emrah Altun, Naushad Mamode Khan, E. Altun, 2021, Methodology and Computing in Applied Probability.

Modelling with the Novel INAR(1)-PTE Process

E. Altun, N. M. Khan, 2021, Methodology and Computing in Applied Probability.

The family of the bivariate integer-valued autoregressive process (BINAR(1)) with Poisson–Lindley (PL) innovations

N. M. Khan, G. Ozel, Hatice Oncel Cekim, 2020 .

New bivariate Poisson extended exponential distributions and associated BINAR(1) processes with applications

N. M. Khan, R. Maya, A. Krishna, 2023, Decision Analytics Journal.

A new approach to model the counts of earthquakes: INARPQX(1) process

E. Altun, N. M. Khan, D. Bhati, 2021, SN applied sciences.

Mixing properties of integer-valued GARCH processes

Michael H. Neumann, Naushad Mamode Khan, Paul Doukhan, 2021 .

A new INAR model based on Poisson-BE2 innovations

N. M. Khan, Fukang Zhu, Jiayue Zhang, 2022, Communications in Statistics - Theory and Methods.

A Survey on Quasi-Likelihood Estimation Approaches for Longitudinal Set-ups

N. M. Khan, 2015 .

A Case-Control Study of Female Breast Cancer Risk Factors in Mauritius

N. M. Khan, Ashwinee Devi Soobhug, Maleika Heenaye-Mamode Khan, 2022 .

Inference for the Non-Stationary First Order Integer-Valued Moving Average (INMA(1)) Process with COM-Poisson Innovations

N. M. Khan, Y. Sunecher, V. Jowaheer, 2018, American Journal of Mathematical and Management Sciences.

Analyzing the Full BINMA Time Series Process Using a Robust GQL Approach

N. M. Khan, Y. Sunecher, V. Jowaheer, 2016 .