An Alternative Estimator for Estimating the Finite Population Mean in Presence of Measurement Errors with the View to Financial Modelling
Rajesh Singh,
Sachin Malik,
Mohd Khoshnevisan
Issue:
Volume 2, Issue 6, December 2014
Pages:
107-111
Received:
5 November 2014
Accepted:
16 November 2014
Published:
18 November 2014
Abstract: This article presents the problem of estimating the population mean using auxiliary information in the presence of measurement errors. We have compared the three proposed estimators being the exponential ratio-type estimator, Solanki et al. (2012) estimator, and the mean per unit estimator in the presence of measurement errors. Financial Model by Gujrati and Sangeetha (2007) has been employed in our empirical analysis. In that, our investigation has indicated that our proposed general class of estimator t4 is the most suitable estimator with a smaller MSE relative to other estimators under measurement errors.
Abstract: This article presents the problem of estimating the population mean using auxiliary information in the presence of measurement errors. We have compared the three proposed estimators being the exponential ratio-type estimator, Solanki et al. (2012) estimator, and the mean per unit estimator in the presence of measurement errors. Financial Model by G...
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On Solving Some Classes of Nonlinear Fractional Differentional Equations Using Fractal Index Method
Sayed K. Elagan,
Mohamed S. Mohamed,
Khaled A. Gepreel,
Rabha W. Ibrahim,
Afaf Elesimy
Issue:
Volume 2, Issue 6, December 2014
Pages:
112-115
Received:
28 November 2014
Accepted:
6 December 2014
Published:
17 December 2014
Abstract: We provide a new solution of diffusion fractional differential equation using fractal index and fractional sub-equation method. Also we shall impose a new solution for fraction Birnolli equation of arbitrary order using the fractal index method. As a result many exact solutions are obtained. It is shown that our considered method provides a very effective tool for solving fractional differentional equations.
Abstract: We provide a new solution of diffusion fractional differential equation using fractal index and fractional sub-equation method. Also we shall impose a new solution for fraction Birnolli equation of arbitrary order using the fractal index method. As a result many exact solutions are obtained. It is shown that our considered method provides a very ef...
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A Study of Profit and Failure Rate of Musharakah Mutanaqisah Homeownership Partnership (MMP) by Retrospective Actuarial Approach and Simulation Study: The Case of Abandoned Housing Project
Farhana Syed Ahmad,
Shamsul Rijal Muhammad Sabri
Issue:
Volume 2, Issue 6, December 2014
Pages:
116-121
Received:
12 December 2014
Accepted:
22 December 2014
Published:
31 December 2014
Abstract: The paper observed the impact of the profit rate and failure rate to the profit of Musharakah Mutanaqisah Homeownership Partnership (MMP) that exercise in local Islamic Bank in Malaysia while the probability of the housing project’s failure is considered into this facility. The retrospective method is a retrospective method of calculating the outstanding balance in actuarial mathematics. Moreover, this study derived a probability of abandoned housing project equations implementing from the actuarial mathematics. The failure rate is assumed to be exponentially distributed. The profit will varies due to the changes of variables like profit rate, failure rate and tenure. This study also presented the intention of IB in bearing the losses of MMP when abandoned housing project occurred.
Abstract: The paper observed the impact of the profit rate and failure rate to the profit of Musharakah Mutanaqisah Homeownership Partnership (MMP) that exercise in local Islamic Bank in Malaysia while the probability of the housing project’s failure is considered into this facility. The retrospective method is a retrospective method of calculating the outst...
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A Multiplicative Autoregressive Integrated Moving Average Model for Kenya’s Inflation (2000:1 – 2013:12)
Issue:
Volume 2, Issue 6, December 2014
Pages:
122-129
Received:
14 December 2014
Accepted:
23 December 2014
Published:
31 December 2014
Abstract: Using monthly inflation data from January 2000 to December 2013, we find that SARIMA (1,1,1)(1,0,1)12 can represent the data behavior of inflation rate in Kenya well. Based on the selected model, we forecast seven (12) months inflation rates of Kenya outside the sample period (i.e. from January 2014 to December 2014). The observed inflation rates from January to November which were published by Kenya Bureau of Statistics fall within the 95% confidence interval obtained from the designed model. However, the confidence intervals were wider an indication of high volatility of Kenya’s inflation rates.
Abstract: Using monthly inflation data from January 2000 to December 2013, we find that SARIMA (1,1,1)(1,0,1)12 can represent the data behavior of inflation rate in Kenya well. Based on the selected model, we forecast seven (12) months inflation rates of Kenya outside the sample period (i.e. from January 2014 to December 2014). The observed inflation rates f...
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