Pasvora Solutions

Downloads & Resources

Access my CV, peer-reviewed publications, book chapters, certificates, and academic lecture notes.

Curriculum Vitae

Curriculum Vitae (2026)

Complete academic and professional profile including qualifications, research interests, and publications.

PDF • 2026

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Research Papers & Publications

Evaluation of New Liu-Ridge Type Estimators for Improved Poisson Regression

Science World Journal, 20(3). Faculty of Science, Kaduna State University.

Journal • 2025

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New Ridge-Type Estimator to Mitigate Multicollinearity in the Poisson Regression Model

ZBW – Leibniz Information Centre for Economics, Kiel, Germany.

Journal • 2025

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Predictive Modeling for Solving Climate-Related Disease Outbreaks in Africa

The Multidisciplinary Research in Driving Sustainable Economic Development in Africa (AFRIBVAM) Conference Journal, 3(3).

Journal • 2023

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Statistical Analysis of the Effects of Manure and NPK Fertilizer on the Yield of Maize

Annals Computer Science Series (Romania), 16(1).

Journal • 2018

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Dynamic Modelling of Registered Live Births in Oyo State

Journal of the Nigerian Association of Mathematical Physics, 45.

Journal • 2018

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Book Chapters

Probability Theory Made Easy (Chapters 1-5)

Authored Chapters: Set, Laws of Algebra of Sets, Venn Diagram, Mapping, Permutation & Combination. Rhema Academic Publishers.

Textbook • 2023

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Certificates & Awards

TETFund Ph.D. Scholarship Award (AST&D)

Certificate of sponsorship for Doctoral research in Statistics at LAUTECH (2022–2026).

Grant • 2022

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TETFund Book Publication Grant

Certificate of support for the publication of 'Probability Theory Made Easy'.

Grant • 2023

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Fellow, Royal Statistical Society (FRSS)

Professional recognition certificate (Membership No. 214000), United Kingdom.

Award • 2026

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UNESCO China–Africa STEM Educators Programme

Participation certificate for the STEM Acceleration Programme in Shanghai, China.

Certificate • 2025

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Lecture Notes

Introduction to Statistics & Descriptive Statistics

Course handouts and foundational notes for ND Statistics students.

PDF Notes

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Generalized Linear Models (GLMs)

Advanced lecture slides covering Poisson, Logistic, and Negative Binomial regressions.

PPT/PDF Notes

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