Prediction Of Pm10 Concentrations Using Extreme Value Distributions (Evd) Classical And Bayesian Approaches

Keadaan zarahan tinggi (jerebu) secara umumnya dikaitkan dengan kehadiran PM10 atau PM2.5. Ia adalah penting untuk memaklumkan kepada umum terhadap tahap PM10 dan kepentingannya supaya langkah-langkah penyesuaian yang lebih berkesan dapat diambil bagi kalangan umum yang terjejas. Kajian ini dijalank...

Full description

Bibliographic Details
Main Author:	Ahmat, Hasfazilah
Format:	Thesis
Language:	English
Published:	2016
Subjects:	T Technology TA1-2040 Engineering (General). Civil engineering (General)
Online Access:	http://eprints.usm.my/41717/
Abstract	Abstract here

Similar Items

Modeling And Prediction Of Pm10 Concentration During High Particulate Events In Malaysia
by: Yusof, Noor Faizah Fitri Bt Md
Published: (2009)

Modeling Locational Differences And Prediction Of Temporal Concentration Of Pm10 Using Time Series Analysis
by: Sansuddin, Nurulilyana
Published: (2010)

Pm10 Concentrations Short Term Prediction Using Regression, Artificial Neural Network And Hybrid Models
by: Japeri, Ahmad Zia Ul-Saufie Mohamad
Published: (2013)

Probabilistic And Distribution Modelling For Predicting Pm10 Concentration In Malaysia
by: Hamid, Hazrul Abdul
Published: (2013)

Comparison Of Parameter Estimators Of Lognormal Distribution For Predicting Pm10 And Pm2.5 Concentrations
by: Omar, Muhammad Uthman
Published: (2024)

Determination Of Coefficient For Pm10 Monitoring Using An Optical Direct Reading Instrument And Beta Attenuation Monitor
by: Mohtar, Zul Azmi
Published: (2013)

Extreme air pollutant data analysis using classical and Bayesian approaches
by: Mohd Amin, Nor Azrita
Published: (2015)

Statistical Modelling For Forecasting Pm10 Concentrations In Peninsular Malaysia
by: Ng, Kar Yong
Published: (2017)

Morphological and Elemental Analysis of Fineparticulate Matter (PM2.5) At Background Station in Malaysia
by: Mohd Zaki, Teh Nur Amalina
Published: (2016)

Short-Term Prediction Models Of Pm10 Concentrations In Peninsular Malaysia Using Multivariate Time Series And Machine Learning Methods
by: Ramli, Norazrin
Published: (2021)

PM10 Concentrations Short Term Prediction Using Regression, Artificial Neural Network And Hybrid Models
by: Mohamad Japeri, Ahmad Zia Ul-Saufie
Published: (2013)

The influence of meteorological factors on PM10 concentrations and composition in the Malaysian Peninsula
by: Sahel Mohammad-Rateb Amer Al-Batayneh (P39714)
Published: (2023)

Identification and characterisation of particulate matter (PM2.5 and PM10) concentrations at three areas in Penang Mainland
by: Muhammad Arieff Mat Shukri
Published: (2019)

A study on the concentration and dispersion of PM10 in UTHM by using simple modelling and meteorological factors
by: Abd Rahman, Malek Faizal
Published: (2013)

Circular Statistical Analysis Of Wind Direction And Wind Speed On Ozone Concentration
by: Zinol, Noorain
Published: (2017)

2019_Prediction Model of PM10 by Using Machine Learning
by: Nurul Latiffah Binti Abd. Rani
Published: (2019)

Prediction Of Basic Wind Speed For Oman
by: Salim Almaawali, Said Saif
Published: (2017)

Utilization Of Zeliac As An Alternative Adsorbent To Remove Low Level Concentration Of Nom In Riverbank Filtration
by: Ibrahim, Nurazim
Published: (2018)

Modelling the extreme value of river flow data in West Sabah using bayesian approach
by: Cheong, Ri Ying
Published: (2018)

River Modelling For Flood Risk Map Prediction: Case Study Of Sungai Kayu Ara
by: Alaghmand, Sina
Published: (2009)

River Modelling For Flood Risk Map Prediction: Case Study Of Sungai Kayu Ara
by: Alaghmand, Sina
Published: (2009)

Classical and bayesian inference for linear regression models under alpha skew normal and extended skew normal distributions
by: Ali Ahmed Abdullah Alhamed (P65908)
Published: (2023)

Economic Level Of Real Water Losses In Water Distribution System Using Minimum Night Flow Statistical Model
by: Alkasseh, Jaber M. A.
Published: (2013)

The Engineering Properties Of High Strength A Dynamic Agent-Based Model For Simulating And Predicting Urban Growth
by: Mahamud, Mohd Amirul
Published: (2021)

A Comparison Between Predicted And Actual Performances Of An Embankment Built Over A Stone Column Area
by: Ridha, Ahmed Dhya’a M.
Published: (2013)

Macroinvertebrates Distribution In Spatially Heterogeneous Gravel-Bed Rehabilitated River Reach
by: Arsad, Azamuddin
Published: (2016)

Developing a model to predict time delay in road construction projects using bayesian networks
by: Mohammad, Almohammad
Published: (2020)

Developing A Prediction Tool To Improve The Shading Efficiency Of The Pedestrian Zones
by: Khudhayer, Wael A.
Published: (2020)

Effects Of Dems From Different Resolutions In Deriving Stream Networks Threshold Values And Morphometric Analysis
by: Ishak, Nor Azura
Published: (2018)

Prediction of Flow Field And Oxygen Utilization Rate (Our) In Orbal Biological System (Obs) Using Cfd
by: Saad, Noor Aida Saad
Published: (2016)

Goodness-of-fit tests for extreme value distributions
by: Zainal Abidin, Nahdiya
Published: (2013)

Distribution Of Pressure Coefficient Along The External Profile Of Rural House Exposed To Windstorm In Malaysia Using Computational Fluid Dynamics (Cfd)
by: Deraman, Siti Noratikah Che
Published: (2019)

Modified boxplot and stairboxplot for generalized extreme value distribution
by: Babura, Babangida Ibrahim
Published: (2017)

Impak kilang simen terhadap penghasilan PM10 di Rawang, Selangor Darul Ehsan
by: Mohamad Ihsan Muhamad Ismail
Published: (2016)

Pemetaan Pm10 Dan Aot Menggunakan Teknik Penderiaan Jauh Di Semenanjung Malaysia
by: San, Limhwee
Published: (2006)

MULTIVARIATE STATISTICAL ANALYSIS FOR NEXT HOUR PM10 CONCENTRATION FORECASTING DURING EPISODIC TRANS-BOUNDARY HAZE EVENTS IN MALAYSIA
by: NUR NAZMI LIYANA MOHD NAPI
Published: (2021)

Slice sampler and metropolis hastings approaches for bayesian analysis of extreme data
by: Rostami, Mohammad
Published: (2016)

Spatio-temporal markov chain modeling for air pollution index based on classical and Bayesian approach
by: Alyousifi, Yousif Hamood Mohammed (P90499)
Published: (2023)

The cramer-von mises test statistic of the generalized extreme value distribution and weibull distribution
by: Nur Hamizah Abdul Ghani
Published: (2025)

An enhanced boosted regression tree model for the prediction of PM10 concentration level using SVM_BRT with QR loss function coupling approach / Wan Nur Shaziayani Wan Mohd Rosly
by: Wan Mohd Rosly, Wan Nur Shaziayani
Published: (2022)