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All Journal Statistika Bulletin of Applied Mathematics and Mathematics Education
Mohamad Arif Awang Nawi
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Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Industrial & Manufacturing Engineering Mathematics

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Efficiency of General Insurance in Malaysia Using Stochastic Frontier Analysis Mohamad Arif Awang Nawi; Wan Muhamad Amir W Ahmad; Nor Azlida Aleng
STATISTIKA: Forum Teori dan Aplikasi Statistika Vol 11, No 2 (2011)
Publisher : Program Studi Statistika Unisba

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29313/jstat.v11i2.1050

Abstract

General insurance comprises insurance of property against fire and burglary, floods, storms,earthquakes and so on. The purpose of the current study is to measure the relative efficiency of generalinsurance in Malaysia by using SFA for the year 2007 until 2009, consist of 26 general insurancecompanies by using the software FRONTIER to obtain the maximum likelihood (ML) and to get therelative efficiency. The finding showed that Oriental Capital Assurance Bhd (OCA) is at rank 1 for thethree years. The 0.03975 value for the variance gamma ( γ ) parameter in this study is far from one,suggesting that all of the residual variations are not due to the inefficiency effects, but to randomshocks. It can therefore, be concluded that the technical inefficiency effects associated with theproduction of the total profits by the input of the general insurence are very low.
Malaysian and Italian trend line for Covid-19: A study on trend analysis Wan Ahmad, Wan Muhammad Amir bin; Ibrahim, Noor Azlinaliana; Nawi, Mohamad Arif Awang; Mohd Noor, Nor Farid; Mohamad, Noraini; Aleng, Nor Azlida; Mohamad Ghazali, Farah Muna; Um Min Allah, Nasar
Bulletin of Applied Mathematics and Mathematics Education Vol. 1 No. 2 (2021)
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1856.396 KB) | DOI: 10.12928/bamme.v1i2.3954

Abstract

The first objective of this study was to evaluate trend line pattern, obtain the appropriate statistical equation model, and predict individual numbers infected by Covid-19. The second objective is to obtain a predictive equation model and forecast death rate for Malaysia and Italy. Malaysia's first positive case Covid-19 recorded January 24, 2020, consisting of three cases. Collected from January 24 to March 29, 2020. Sixty-six day-observations, based on their trend line pattern, earned special attention. Although the first positive case was identified on January 31, 2020, involving two patients. From January 31 to March 29, 2020, approximately 59 observations were collected from Italy. On 18 March 2020, the pattern will contrast with the Malaysian Movement Control Order (MCO). Malaysia and Italy collect death figures. A similar methodology will be applied to find the best-fitted model that fits both countries' death-number scenario. In Italy, the number of Covid-19-infected patients rises and meets quadratic trend line patterns. This induces extreme public distress and diversion. The quadratic trend line series analysed individual Covid-19-infected results. After March 18, 2020, it will continue to use a linear pattern. However, trend deaths also follow quadratic trend line pattern. Trend-line quadratic matched Italy's results. The quadratic line-of-trend model projection demonstrated dominance in estimating infected Covid-19. The quadratic death line from daily death collection data also showed superiority in estimating death number. The fitted quadratic model is better fitted in the Malaysian case, but the pattern shifts to linear trend line after MCO is implemented.
Co-Authors Ibrahim, Noor Azlinaliana Mohamad Ghazali, Farah Muna Mohd Noor, Nor Farid Nor Azlida Aleng Noraini Mohamad, Noraini Um Min Allah, Nasar Wan Ahmad, Wan Muhammad Amir bin Wan Muhamad Amir W Ahmad