Noor Akma Ibrahim

Statistics and Probability · 2020

A researcher in the Science corpus: 2 papers; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Statistics and Probability — 26 citations into it
• Finance — 16 citations into it
• Demography — 6 citations into it

Whom Noor Akma Ibrahim trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Kai-Sheng Song
2. Rameshwar D. Gupta

Papers from Noor Akma Ibrahim's perspective

Ordered by how strongly the researchers Noor Akma Ibrahim trusts endorse each paper. Same corpus, a different order for every researcher.

1. EXPONENTIATED EXPONENTIAL FAMILY: AN ALTERNATIVE TO GAMMA AND WEIBULL DISTRIBUTIONS
2. Families of distributions arising from distributions of order statistics
3. Fitting insurance claims to skewed distributions: Are the skew-normal and skew-student good models?
4. Modeling actuarial data with a composite lognormal-Pareto model
5. The generalized transmuted-G family of distributions
6. A new method for generating distributions with an application to exponential distribution
7. Modeling loss data using composite models
8. The Harris Extended Exponential Distribution
9. On the Tail Mean-Variance optimal portfolio selection
10. Rényi information, loglikelihood and an intrinsic distribution measure

Their papers

• The Heavy-Tailed Exponential Distribution: Risk Measures, Estimation, and Application to Actuarial Data (2020) — 79 citations
• The Marshall-Olkin Topp Leone-G family of distributions: A family for generalizing probability models (2020) — 47 citations