Probabilistic And Distribution Modelling For Predicting Pm10 Concentration In Malaysia
Probabilistic And Distribution Modelling For Predicting Pm10 Concentration In Malaysia
| Main Author: | Hamid, Hazrul Abdul |
|---|---|
| Format: | Thesis |
| Language: | English |
| Published: |
2013
|
| Subjects: | |
| Online Access: | http://eprints.usm.my/43588/ http://eprints.usm.my/43588/1/Hazrul%20Bin%20Abdul%20Hamid24.pdf |
Similar Items
Statistical Modelling For Forecasting Pm10 Concentrations In Peninsular Malaysia
by: Ng, Kar Yong
Published: (2017)
by: Ng, Kar Yong
Published: (2017)
Modeling And Prediction Of Pm10
Concentration During High Particulate
Events In Malaysia
by: Yusof, Noor Faizah Fitri Bt Md
Published: (2009)
by: Yusof, Noor Faizah Fitri Bt Md
Published: (2009)
Prediction Of Pm10 Concentrations Using Extreme Value Distributions (Evd) Classical And Bayesian Approaches
by: Ahmat, Hasfazilah
Published: (2016)
by: Ahmat, Hasfazilah
Published: (2016)
Modeling Locational Differences And
Prediction Of Temporal Concentration
Of Pm10 Using Time Series Analysis
by: Sansuddin, Nurulilyana
Published: (2010)
by: Sansuddin, Nurulilyana
Published: (2010)
Time series analysis of PM10 concentration in Parit Raja residential area
by: Raffee, Ahmad Fauzi, et al.
Published: (2018)
by: Raffee, Ahmad Fauzi, et al.
Published: (2018)
Pm10 Concentrations Short Term Prediction
Using Regression, Artificial Neural Network And Hybrid Models
by: Japeri, Ahmad Zia Ul-Saufie Mohamad
Published: (2013)
by: Japeri, Ahmad Zia Ul-Saufie Mohamad
Published: (2013)
Prediction Of PM10 Concentration Using Multiple Linear Regression And Bayesian Model Averaging
by: Ismail, Hafizahizzati
Published: (2017)
by: Ismail, Hafizahizzati
Published: (2017)
Extreme value theory for modeling and prediction of high PM10 concentration in Johor
by: Mohd Amin, Nor Azrita, et al.
Published: (2013)
by: Mohd Amin, Nor Azrita, et al.
Published: (2013)
Prediction of pm10 concentration using multiple linear regression and support vector machine
by: Zailan, Masezatti
Published: (2018)
by: Zailan, Masezatti
Published: (2018)
Future Daily PM10 Concentrations
Prediction In Malaysia Using Artificial
Neural Networks, Stochastic Regression
And Hybrid Models
by: Yahaya, Ahmad Shukri, et al.
Published: (2015)
by: Yahaya, Ahmad Shukri, et al.
Published: (2015)
Determining of PM 10 aqi over Malaysia using NOAA-14 AVHRR satellite data
by: Ahmad, Asmala, et al.
Published: (2005)
by: Ahmad, Asmala, et al.
Published: (2005)
Model Prediction Of Pm2.5 And Pm10 Using Machine Learning Approach
by: Hamid, Norfarhanah
Published: (2021)
by: Hamid, Norfarhanah
Published: (2021)
Imputing missing values in modelling the PM10 concentrations
by: Nuradhiathy Abd Razak,, et al.
Published: (2014)
by: Nuradhiathy Abd Razak,, et al.
Published: (2014)
Probabilistic properties and statistical inference for a family of generalised and related distributions / Liew Kian Wah
by: Liew, Kian Wah
Published: (2013)
by: Liew, Kian Wah
Published: (2013)
Epidemic surveillance of novel coronavirus 2019 through probabilistic models
by: Ngerng, Sherilynn Siew Fong
Published: (2021)
by: Ngerng, Sherilynn Siew Fong
Published: (2021)
Prediction Of PM10 Concentration Using Multiple Linear Regression And Support Vector Machine
by: Zailan, Masezatti
Published: (2018)
by: Zailan, Masezatti
Published: (2018)
Bayesian extreme for modeling high PM10 concentration in Johor
by: Mohd Amin, Nor Azrita, et al.
Published: (2015)
by: Mohd Amin, Nor Azrita, et al.
Published: (2015)
PM10 Concentrations Short Term Prediction
Using Regression, Artificial Neural Network And Hybrid Models
by: Mohamad Japeri, Ahmad Zia Ul-Saufie
Published: (2013)
by: Mohamad Japeri, Ahmad Zia Ul-Saufie
Published: (2013)
Short-Term Prediction Models Of Pm10 Concentrations In Peninsular Malaysia Using Multivariate Time Series And Machine Learning Methods
by: Ramli, Norazrin
Published: (2021)
by: Ramli, Norazrin
Published: (2021)
Diurval Variation Of PM10 And Carbon Monoxide Concentrations In Penang
by: Abd. Manaff, Liana Syafinaz
Published: (2005)
by: Abd. Manaff, Liana Syafinaz
Published: (2005)
Probabilistic sticker systems
by: Selvarajoo, Mathuri, et al.
Published: (2013)
by: Selvarajoo, Mathuri, et al.
Published: (2013)
Probabilistic splicing systems
by: Turaev, Sherzod, et al.
Published: (2013)
by: Turaev, Sherzod, et al.
Published: (2013)
Probabilistic splicing systems
by: Fong, Wan Heng, et al.
Published: (2014)
by: Fong, Wan Heng, et al.
Published: (2014)
Classification prediction of PM10 concentration using a tree-based machine learning approach
by: Wan Nur Shaziayani, et al.
Published: (2022)
by: Wan Nur Shaziayani, et al.
Published: (2022)
Probabilistic simple sticker systems
by: Selvarajoo, Mathuri, et al.
Published: (2017)
by: Selvarajoo, Mathuri, et al.
Published: (2017)
Bivariate extreme value with application to PM10 concentration analysis
by: Mohd Amin, Nor Azrita, et al.
Published: (2014)
by: Mohd Amin, Nor Azrita, et al.
Published: (2014)
An investigation of PM10 concentrations at one site of Kuala Lumpur
by: Mohd. Yusoff, Mohd. Rashid
Published: (1987)
by: Mohd. Yusoff, Mohd. Rashid
Published: (1987)
Prediction Of PM10 Using Multiple Linear Regression And Boosted Regression Trees
by: Hamid, Nur Haziqah Mohd
Published: (2017)
by: Hamid, Nur Haziqah Mohd
Published: (2017)
The generative capacity of probabilistic splicing systems
by: Selvarajoo, Mathuri, et al.
Published: (2015)
by: Selvarajoo, Mathuri, et al.
Published: (2015)
Investigation into the effect of atmospheric
particulate matter (PM2.5 and PM10) concentrations
on GPS signals
by: Lau, Lawrence, et al.
Published: (2017)
by: Lau, Lawrence, et al.
Published: (2017)
Underwater delay-tolerant routing via probabilistic spraying
by: Azad, Saiful, et al.
Published: (2018)
by: Azad, Saiful, et al.
Published: (2018)
PM10 Retrieval From Spectroradiometer Measurements.
by: H, S Lim, et al.
Published: (2005)
by: H, S Lim, et al.
Published: (2005)
Probabilistic reliability prediction models for task scheduling in distributed systems: A review
by: Ambursa, Faruku Umar, et al.
Published: (2017)
by: Ambursa, Faruku Umar, et al.
Published: (2017)
Probabilistic stress intensity factor prediction of surface crack using bootstrap sampling method
by: M.N.M., Husnain, et al.
Published: (2022)
by: M.N.M., Husnain, et al.
Published: (2022)
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)
by: Abd Rahman, Malek Faizal
Published: (2013)
Some characteristics of probabilistic one-sided splicing systems
by: Selvarajoo, Mathuri, et al.
Published: (2013)
by: Selvarajoo, Mathuri, et al.
Published: (2013)
Probabilistic semi-simple splicing system and its characteristics
by: Selvarajoo, Mathuri, et al.
Published: (2013)
by: Selvarajoo, Mathuri, et al.
Published: (2013)
Some properties of probabilistic one-sided sticker systems
by: Selvarajoo, Mathuri, et al.
Published: (2013)
by: Selvarajoo, Mathuri, et al.
Published: (2013)
Some properties of probabilistic semi-simple splicing systems
by: Mathuri, S., et al.
Published: (2012)
by: Mathuri, S., et al.
Published: (2012)
Indoor Concentrations of PM10 and Factors Influencing Its Concentrations in Day Care Centres in Bangkok, Thailand
by: Pudpong, N., et al.
Published: (2011)
by: Pudpong, N., et al.
Published: (2011)
Similar Items
-
Statistical Modelling For Forecasting Pm10 Concentrations In Peninsular Malaysia
by: Ng, Kar Yong
Published: (2017) -
Modeling And Prediction Of Pm10
Concentration During High Particulate
Events In Malaysia
by: Yusof, Noor Faizah Fitri Bt Md
Published: (2009) -
Prediction Of Pm10 Concentrations Using Extreme Value Distributions (Evd) Classical And Bayesian Approaches
by: Ahmat, Hasfazilah
Published: (2016) -
Modeling Locational Differences And
Prediction Of Temporal Concentration
Of Pm10 Using Time Series Analysis
by: Sansuddin, Nurulilyana
Published: (2010) -
Time series analysis of PM10 concentration in Parit Raja residential area
by: Raffee, Ahmad Fauzi, et al.
Published: (2018)