A New Lifetime Model: The Kumaraswamy Extension Exponential Distribution- Crimson Publishers

A New Lifetime Model: The Kumaraswamy Extension Exponential Distribution by Francisco Louzada in Open Access Biostatistics & Bioinformatics: Crimson Publishers- Open Access Biostatistics & Bioinformatics journals

Based on the Kumaraswamy distribution, we study the so called Kumaraswamy Extension Exponential Distribution (KEE). The new distribution has a number of well-known lifetime special sub-models such as a new exponential type distribution, extension exponential distribution Kumaraswamy generalized exponential distribution, among several others. We derive some mathematical properties of the (KEE) including quan tile function, moments, moment generating function and mean residual lifetime. In addition, the method of maximum likelihood and least squares and weighted least squares estimators are discussing for estimating the model parameters. By using the likelihood method a simulation study was made.

https://crimsonpublishers.com/oabb/fulltext/OABB.000527.php

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The Privacy Dilemma for Official Statistics in a Big Data World- Crimson Publishers

The Privacy Dilemma for Official Statistics in a Big Data World by Steve Mac Feely in Open Access Biostatistics &Bioinformatic: Crimson Publishers- Bioinformatics Open Access Journals

Over recent years the potential of big data for government, for business, for society has excited much comment, debate and even evangelism. Described as the ‘new science’ with all the answers [1] or a paradigm destroying phenomena of enormous potential [2] big data are all the rage. Official statisticians, already with a long history of using non-survey data, which are often very large in terms of volume, must decide whether big data is really something new and useful or just hype. On the one hand, some argue that big data needs to be seen as an entirely new ecosystem comprising new data, new tools and methods [3]. Whereas others argue to the contrary that big data is just hype and that big data are just Data [4]. In deciding whether big data can be useful for official statistics, National Statistics Offices (NSOs) must keep the protection of confidential data at the top of their decision making tree.

https://crimsonpublishers.com/oabb/fulltext/OABB.000526.php

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Profile, Pattern and Outcome of Shri Amaranth Ji Yatri Patients attending Sher-i-Kashmir Institute of Medical Sciences, Srinagar, India during Holy Yatra of 2017- Crimson Publishers

Profile, Pattern and Outcome of Shri Amaranth Ji Yatri Patients attending Sher-i-Kashmir Institute of Medical Sciences, Srinagar, India during Holy Yatra of 2017 by Mohammad Sarwar Mir in Open Access Biostatistics & Bioinformatic: Crimson Publishers- Crimson Publishers Open Access Journal

Introduction: Located deep in the Himalayas, the cave of Amarnath is one of the holiest pilgrimage site for Hindus in general and Shiva followers in particular. It is regarded to be the abode of Lord Shiva. Because of high altitude, rough terrain, harsh weather, pilgrims are prone to many illnesses which sometimes these prove fatal.

Objective: To study the profile, pattern and outcome, among Shri Amarnath Ji yatri patients attending SKIMS in year 2017.

Methodology: A prospective study was carried out during the yatra period, all pilgrims of Shri Amarnath ji Yatra who were referred to SKIMS from July-August 2017 were studied and the patients were followed from admission till discharge. The profile, pattern and outcome of illness in Yatris attending Yatra in the year 2017 was compared with the results of year 2011 and 2015.

Results: Out of 97 patients received at SKIMS, 54(55.67%) were having minor ailments and were seen on OPD basis, 43(44.32%) were admitted. 32(74.41%) admitted were males at the time of arrival 14(32.5%) were Road traffic Accidents followed by 7 patients (16.27%) who were Acute Myocardial Infarction. Out of 43 admitted patients 36 (83.7%) patients improved, 1(2.32%) were discharged on request, 1(2.32%) was referred and 5(11.62%) expired.

Conclusion: Comparison of the present study with previous studies in year 2011 AND 2015 shows that the no. of injury patients had increased significantly in present study and RTA victims formed significant proportion of cases. In addition more number of patients had expired.

https://crimsonpublishers.com/oabb/fulltext/OABB.000525.php

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Crimson Publishers: Crimson Publishers High Impact Journals

Crimson Publishers: Crimson Publishers High Impact Journals: All our scientific journals are open access and constantly updated to keep the knowledge flowing. Our articles are also met with the...