Statistical Distribution Estimation and Applications
Statistical Distribution Estimation and Applications is a research topic within Statistics and Probability. Science Explorer counts 24k research works in it since 1950. 15.9% of them reached the world's top 10% most cited for their field and year.
This cluster of papers focuses on the study, application, and inference of skew distributions, particularly the generalized exponential and Weibull distributions. It includes topics such as multivariate normality assessment, progressive censoring methodology, maximum likelihood estimation, Bayesian inference, lifetime modeling, goodness of fit tests, and parametric models.
- Skew Distributions
- Generalized Exponential
- Weibull Distribution
- Multivariate Normality
- Progressive Censoring
- Maximum Likelihood Estimation
- Bayesian Inference
- Lifetime Modeling
- Goodness of Fit Tests
- Parametric Models
- Research works
- 24k fractional, since 1950
- In the world top 10%
- 3.8k per year above
- Top-10% rate
- 15.9% share of its works in the world top 10%
- Growth, 2013–17 → 2018–22
- +23% the tick is no change
Which countries lead Statistical Distribution Estimation and Applications research?
By volume, India and China publish the most (437 and 435 works in 2022–2025).
By volume, 2022–2025
- 1 India 437 works
- 2 China 435 works
- 3 United States 314 works
- 4 Saudi Arabia 289 works
- 5 Egypt 240 works
- 6 Iran 155 works
- 7 Iraq 127 works
- 8 Nigeria 125 works
- 9 Türkiye 95 works
- 10 Brazil 92 works
How concentrated that is
The same countries as shares of everything the list above accounts for. A node where two countries do two thirds of the work and one spread evenly across twelve read alike as a ranking and not at all alike here.
Shares of the rows listed above, not of the whole node.
Which institutions lead Statistical Distribution Estimation and Applications research?
By volume in 2022–2025, King Abdulaziz University publishes the most Statistical Distribution Estimation and Applications research, followed by King Saud University and Cairo University.
By volume, 2022–2025
- 1 King Abdulaziz University Saudi Arabia 44 works
- 2 King Saud University Saudi Arabia 43 works
- 3 Cairo University Egypt 40 works
- 4 Zagazig University Egypt 31 works
- 5 Princess Nourah bint Abdulrahman University Saudi Arabia 29 works
- 6 Imam Mohammad ibn Saud Islamic University Saudi Arabia 24 works
- 7 Mustansiriyah University Iraq 23 works
- 8 Botswana International University of Science and Technology Botswana 23 works
- 9 Al-Azhar University Egypt 22 works
- 10 McMaster University Canada 21 works
Who are the leading researchers in Statistical Distribution Estimation and Applications?
The most-cited researchers publishing on Statistical Distribution Estimation and Applications include H. Vincent Poor, Mohamed‐Slim Alouini and Adrian E. Raftery.
- 1 H. Vincent Poor 9.5k citations
- 2 Mohamed‐Slim Alouini 5.9k citations
- 3 Adrian E. Raftery 5k citations
- 4 John W. Tukey 4.4k citations
- 5 Ralph B. D’Agostino 3.8k citations
Ranked by citations received across their whole record, among researchers with at least three works on this topic.
Where is Statistical Distribution Estimation and Applications research done?
The largest centres of Statistical Distribution Estimation and Applications research in 2022–2025 are Riyadh (Saudi Arabia), Beijing (China), Jeddah (Saudi Arabia) and Cairo (Egypt). Among places with at least 20 works in it, it is an unusually large share of all research in Palapye.
Largest cities, 2022–2025
Where it is the local speciality
- PalapyeBW · 22.5 works197×
Location quotient: how much more of its research is in Statistical Distribution Estimation and Applications than the world average.
Where is the best place to study Statistical Distribution Estimation and Applications?
Among universities, judged by research, King Abdulaziz University, Tanta University and Zagazig University score highest, combining excellence, specialisation, size, growth and international reach. Research strength is one signal when choosing where to study; it does not measure teaching.
One dot per university in the table below. The upper left is the interesting corner: small places doing unusually strong work.
| # | University | Score | Top 10% | Specialisation | Works | Growth |
|---|---|---|---|---|---|---|
| 1 | King Abdulaziz University Saudi Arabia | 77.3 | 31.4% | 23.1× | 44 | +146.7% |
| 2 | Tanta University Egypt | 72.5 | 42.6% | 16.6× | 18 | +385.1% |
| 3 | Zagazig University Egypt | 72.2 | 43.9% | 23.4× | 30 | +80.0% |
| 4 | Princess Nourah bint Abdulrahman University Saudi Arabia | 71.9 | 33.4% | 32.7× | 30 | — |
| 5 | Cairo University Egypt | 70.6 | 31.3% | 14.8× | 40 | +104.6% |
| 6 | Delta University for Science and Technology Egypt | 69.8 | 64.4% | 95.9× | 12 | — |
| 7 | Imam Mohammad ibn Saud Islamic University Saudi Arabia | 69.4 | 37.2% | 37.2× | 24 | — |
| 8 | King Saud University Saudi Arabia | 68.7 | 30.4% | 13.8× | 44 | -10.7% |
| 9 | Islamia University of Bahawalpur Pakistan | 66.5 | 46.2% | 16.0× | 9 | +170.5% |
| 10 | Quaid-i-Azam University Pakistan | 65.2 | 37.5% | 18.2× | 10 | +199.5% |
Universities only. Score blends excellence (30%), specialisation (25%), size (20%), growth (15%) and international reach (10%), 2015–2022; growth compares 2010–14 with 2015–19.
Is Statistical Distribution Estimation and Applications research growing?
Output in 2018–2022 was 23% higher than in 2013–2017, peaking in 2021. The fastest-growing topics are Statistical Distribution Estimation and Applications.
The same series as a ribbon — one cell per year, darker for more. The line above answers how much; this answers when.
Which topics inside it are moving
Growth and decline on one axis around a shared zero. Two lists side by side hide the thing that matters: whether the growth dwarfs the decline, or the other way round.