activity
20122026
most citedInformation content of partially rank-ordered set samples

3 citations · 7 across the 11 of their papers we have counts for

collaborators

12 papers

stat.ME2026

Threshold Exceedance Estimation in Spatially Correlated Areal Data Using Maxima-Nominated Sampling

Mohammad Jafari Jozani

We study estimation of the proportion of areal units in a spatially correlated domain whose success probabilities exceed a prespecified threshold. Such problems arise in health sur…

stat.ME2026

L-Estimation of Population Quantiles Using Ranked Set Sampling

Mohammad Jafari Jozani, Ehsan Zamanzade, Reza Modarre

Quantile estimation is central when interest lies in thresholds or tail behavior rather than the mean. When exact measurement is costly but units can be ranked cheaply, ranked set…

stat.ML2026

Elite-Driven Support Vector Machines for Classification

Mohammad Jafari Jozani, Bahram Moeinianfar

Support vector machines (SVMs) are a standard tool for binary classification, but their classical formulations are purely data-driven and offer no direct way to encode trusted benc…

stat.ME2026

Fractionally Supervised Classification with Maxima Nominated Samples

Mohammad Jafari Jozani, Jingyu Wang

Fractionally supervised classification (FSC) offers a flexible framework for combining labeled and unlabeled data in model-based classification, but existing formulations assume si…

stat.ME2015

Parametric inference for proportional (reverse) hazard rate models with nomination sampling

Mohammad Nourmohammadi, Mohammad Jafari Jozani, Brad Johnson

\noindent Randomized nomination sampling (RNS) is a rank-based sampling technique which has been shown to be effective in several nonparametric studies involving environmental and…

stat.CO2015

Exponentially Titled Empirical Distribution Function for Ranked Set Samples

Saeid Amiri, Mohammad Jafari Jozani, Reza Modarres

We study nonparametric estimation of the distribution function (DF) of a continuous random variable based on a ranked set sampling design using the exponentially tilted (ET) empiri…