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Sridevi, G.
- Detection of Burr Type XII Reliable Software using Sequential Process Ratio Test
Authors
1 ECE, H. M. Institute of Technology and Science, Hyderabad - 501301, Andhra Pradesh, IN
2 CSE, Acharya Nagarjuna University, Guntur - 522 510, Andhra Pradesh, IN
3 CSE, KL University, Guntur – 522 502, Andhra Pradesh, IN
Source
Indian Journal of Science and Technology, Vol 8, No 16 (2015), Pagination:Abstract
Background/Objectives: There is a need to have tools/mechanisms to detect whether a software is reliable or not. Much time is spent while using Classical Hypothesis testing because the conclusions can be drawn only after collecting large amounts of data. Methods/Statistical Analysis: By adopting Sequential Analysis of Statistical science, such decision can be made quickly. In this paper, we proposed a new type of statistical science procedure, Sequential Probability Ratio Test (SPRT) applied for Burr Type XII model based on Time domain data. Findings: For the proposed Burr type XII model, we applied the SPRT methodology on five real time software failure datasets that were borrowed from different software services. The result exemplifies that the model has given a decision of rejection for all the datasets. Therefore our findings state that all used datasets are unreliable. Application/Improvements: Applying SPRT procedure on datasets, we can come to an early conclusion of reliable/unreliable software.Keywords
Burr Type XII Model, ML Estimation, NHPP, Sequential Probability Ratio Test, Time Domain Data- Opportunity Cost of Illness and Occupational Classes:A Case Study of Balangir District in Odisha
Authors
1 Department of Economics, Central University of Jammu, Jammu and Kashmir 181143, IN
2 School of Economics, University of Hyderabad, Prof C R Rao Road, Gachibowli, Hyderabad 500046, IN
3 Department of Humanities and Social Sciences, IIT Kharagpur, Kharagpur, West Bengal 721302, IN
Source
Artha Vijnana: Journal of The Gokhale Institute of Politics and Economics, Vol 57, No 3 (2015), Pagination: 211-231Abstract
The opportunity cost of illness not only imposes a double cost burden (loss of income, working days and alternate uses of money) but also the past saving or income is sometimes insufficient to meet the treatment cost, thereby forcing people to borrow, mortgage and sell their assets for treatment. The existing studies measuring the opportunity cost-of-illness tend to measure the economic burden of disease and estimate the maximum amount that could be potentially saved if a given disease has to be eradicated by not taking into consideration the occupation of the patients and the care givers or accompanying persons.
This study estimates the opportunity cost of illness for different occupational classes (such as labour, farmer, business, service and others categories) and examines the consequences. Using multistage random sampling and purposive sampling technique, Balangir district in Odisha was selected where the necessary data was collected from 176 households in both rural and urban areas during September-October 2010.
Due to illness, the work and earning losses were the highest for the labour class, both for the patients as well as accompanying persons. Also, the direct cost burden of illness was greater than indirect cost burden for the occupational classes. A higher proportion of rural households depended on borrowing to meet their illness cost. These findings call for reviewing the existing public health policy.
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