Published on by Statistics

Mathematical Statistics Award

Ishraga Allam,
University of Khartoum, Khartoum, Sudan

Ishraga Allam
Affiliation University of Khartoum, Khartoum, Sudan
Country Egypt
Documents 207
Subject Area Analysis of Variance
Event World Statistics Awards
ORCID 0009-0005-7615-0077

The Mathematical Statistics Award recognizes research and scholarly contributions to statistical theory, quantitative analysis, and evidence-based interpretation. This article presents the supplied academic profile of Ishraga Allam, whose stated subject area is analysis of variance (ANOVA), and outlines the relevance of mathematical statistics to research and statistical practice. [1] [2]

Abstract

This article outlines the academic profile of Ishraga Allam in relation to mathematical statistics and analysis of variance. The supplied information identifies an institutional affiliation, an ORCID profile, and 207 reported documents. Publication-level evidence, citation metrics, and independently verified research outcomes are not provided; therefore, specific achievements require further verification. [1] [2]

Keywords

Mathematical statistics; analysis of variance; ANOVA; statistical inference; probability theory; quantitative research; statistical modelling; experimental design; data analysis; academic research. These terms describe the subject area and related methodological concepts rather than verified titles of the researcher’s individual publications. [1] [3]

Introduction

Mathematical statistics provides theoretical foundations for interpreting data, estimating parameters, testing hypotheses, and quantifying uncertainty. Analysis of variance (ANOVA) is widely used to examine differences among group means under appropriate assumptions. This article introduces Ishraga Allam’s supplied research profile and contextualizes the stated subject area within contemporary statistical practice. [1] [2]

Research Profile

Ishraga Allam is listed in the supplied information as affiliated with the University of Khartoum in Khartoum, Sudan, with ANOVA identified as the subject area. The profile reports 207 documents and provides an ORCID identifier for researcher discovery. Individual publication records, research appointments, and bibliometric indicators should be checked against authoritative sources. [1] [3]

Research Contributions

Research in mathematical statistics can contribute methods for experimental design, hypothesis testing, model evaluation, and reliable interpretation of quantitative evidence. ANOVA supports comparisons across multiple groups when its assumptions and study design are suitable. Specific contributions attributable to Ishraga Allam cannot be established from the supplied profile alone and require examination of individual studies. [2] [3]

Publications

The supplied profile reports 207 documents associated with the researcher; however, a complete bibliography, publication titles, journal names, publication dates, and DOI identifiers were not provided. Individual records should be verified through the researcher’s ORCID profile and relevant scholarly databases before citation. No specific publication or DOI is attributed here without supporting bibliographic evidence. [1] [4]

Research Impact

Research impact may be assessed through citation patterns, methodological reuse, collaboration, reproducibility, and documented applications in scientific or practical settings. The reported document count offers one preliminary indicator of research activity but does not independently establish influence or quality. Citation totals, h-index, and evidence of practical outcomes remain unavailable for this profile. [1] [2]

Award Suitability

The Mathematical Statistics Award may be relevant to researchers whose verified work advances statistical theory, analytical techniques, or applications of quantitative methods. The stated ANOVA subject area provides a potential point of alignment. A fair assessment of Ishraga Allam’s suitability requires publication verification, evidence of originality, documented research impact, and evaluation against the award’s official criteria. [2] [4]

Conclusion

Ishraga Allam’s supplied profile connects the researcher with the University of Khartoum and identifies ANOVA as a relevant subject area. The reported document count provides preliminary bibliometric context, while further evidence is needed to establish specific contributions and impact. Verified records and transparent assessment criteria are essential for responsible academic recognition. [1] [2]

References

  1. ORCID. (n.d.). ORCID record for Ishraga Allam. ORCID. The identifier was supplied in the source information; the record’s contents should be consulted to verify biographical and publication details.

    https://orcid.org/0009-0005-7615-0077

  2. Allam, I. M. A. (2026). A comparative study of Gabriel’s multiple comparison test: C implementation vs Python implementation

    https://doi.org/10.13140/RG.2.2.28684.88967

  3. Allam, I. M. A. (2026, March 9). A Python implementation of the Kaplan–Meier estimator for survival analysis.

    https://doi.org/10.13140/RG.2.2.12808.07686

  4. Allam, I. M. A. (2026, September 19). Hazen proportion estimation: A research paper on formula, implementation, and applications.

    https://doi.org/10.13140/RG.2.2.25427.95525

Ishraga Allam | Statistical Modeling and Simulation | Mathematical Statistics Award

You May Also Like