Citation to this article as recorded by
A Review of PM10 Concentrations Modelling in Malaysia IOP Conference Series: Earth and Environmental Science |
Effects of Distribution Choice on the Modeling of Life Cycle
Inventory Uncertainty: An Assessment on the Ecoinvent v2.2
Database Journal of Industrial Ecology |
Forecasting PM10 Levels Using Machine Learning Models in the Arctic: A Comparative Study Remote Sensing Vol. 15, Issue 13, 3348, 2023 |
Farmers’ Variety Naming and Crop Varietal Diversity of Two Cereals and Three Legume Species in the Moroccan High Atlas, Using DATAR Sustainability Vol. 15, Issue 13, 10411, 2023 |
Investigation on the statistical distribution of PM2.5 concentration in Chiang Mai, Thailand WSEAS TRANSACTIONS ON ENVIRONMENT AND DEVELOPMENT |
An Assessment of the Cultivation Potential and Suitability for Human Consumption of Mediterranean Mussels (Mytilus galloprovincialis Lamarck, 1819) from the Yalova Coast of the Marmara Sea Menba Kastamonu Üniversitesi Su Ürünleri Fakültesi Dergisi Vol. 9, Issue 1, 12, 2023 |
How to cite this article
Hazrul Abdul Hamid, Ahmad Shukri Yahaya, Nor Azam Ramli and Ahmad Zia Ul-Saufie, 2013. Finding the Best Statistical Distribution Model in PM10 Concentration Modeling by using Lognormal Distribution. Journal of Applied Sciences, 13: 294-300.
DOI: 10.3923/jas.2013.294.300
URL: https://scialert.net/abstract/?doi=jas.2013.294.300
DOI: 10.3923/jas.2013.294.300
URL: https://scialert.net/abstract/?doi=jas.2013.294.300