Browsing by Author "Kamarulzaman Ibrahim"
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Item Metadata only A Comparative Study of Extreme Rainfall in Peninsular Malaysia: With Reference to Partial Duration and Annual Extreme Series(Penerbit UKM) Abdul Aziz Jemain; Kamarulzaman Ibrahim; Wan Zin Wan ZawiahItem Metadata only Analisis Perbelanjaan Syarikat Insurans Hayat(Penerbit UKM) Abdul Malek Zakaria; Kamarulzaman IbrahimItem Restricted Analyzing the East Coast Malaysia Wind Speed Data(International Energy and Environment Foundation (IEEF), 2009) Siti Khadijah Najid; Azami Zaharim; Ahmad Mahir Razali; Mohd Said Zainol; Kamarulzaman Ibrahim; Kamaruzzaman SopianRecently, wind energy conversion is also given a serious consideration in Malaysia. Since Malaysia lies in the equatorial region and its climate is governed by the monsoons, the potential for wind energy generation in Malaysia is very much depends on the availability of the wind resource that varies with specific location. In the present study, the wind energy potential of the location is statistically analyzed based on wind speed data, measured over two years period. The probability distributions are derived from the wind speed data and their distributional parameters are identified. Three types of probability distributions have been used to estimate the wind energy potential in Kuala Terengganu, east Malaysia.Item Embargo Modeling air quality in main cities of Peninsular Malaysia by using a generalized Pareto model(Elsevier, 2016) Nurulkamal Masseran; Ahmad Mahir Razali; Kamarulzaman Ibrahim; Mohd Talib LatifThe air pollution index (API) is an important figure used for measuring the quality of air in the environment. The API is determined based on the highest average value of individual indices for all the variables which include sulfur dioxide (SO2), nitrogen dioxide (NO2), carbon monoxide (CO), ozone (O3), and suspended particulate matter (PM10) at a particular hour. API values that exceed the limit of 100 units indicate an unhealthy status for the exposed environment. This study investigates the risk of occurrences of API values greater than 100 units for eight urban areas in Peninsular Malaysia for the period of January 2004 to December 2014.Item Embargo Modeling the stochastic dependence of air pollution index data(Springer, 2018) Yousif Alyousifi; Nurulkamal Masseran; Kamarulzaman IbrahimThe air pollution index (API) is a common tool, which is often used for determining the quality of air in the environment. In this study, a discrete-time Markov chain model is applied for describing the stochastic behaviour of API data. The study reported in this paper is conducted based on the data collected from Klang city in Malaysia for a period of 3 years (2012-2014)Item Metadata only Satu pendekatan berekonometrik untuk data pengeluaran kelapa sawit(Penerbit UKM) Kamarulzaman IbrahimItem Metadata only Two Stage Ranked Set Sampling for Estimating the Population Median = Pensampelan Set Terpangkat Dua Tahap untuk Penganggaran Media Populasi(Penerbit UKM) Abdul Aziz Jemain; Al-Omari Amer; Kamarulzaman Ibrahim