Naturals Publishing
2090-8458
3-issues-year
1.03
2090-844X
2014
16463812006
United States
English
YES
mawmahmoud11@yahoo.com
The journal focuses on fast track process for short papers and gives special emphasis to established as well as emerging applied statistics areas. All submitted manuscripts will undergo normal review process and the publication decision will be adjudged by quality, novelty, suitability and interest. The journal publishes 3 issues annually and accepts papers through peer review by professional colleagues in the relevant fields. In order to be considered for publication, your introduction should clearly explain the novelty, urgency and originality of the research in your article. JSAPL accepts papers through peer review by professional colleagues in the relevant fields. Unless clearly below the standard required by the journal, submitted articles will be sent to referees. They will generally be reviewed by at least two experts with the aim of reaching a decision as soon as possible. Where possible, the final decision is made on the basis that the referees are in accordance with one another. When there is a strong disagreement between referees, advice is sought from a member of the journals Editorial Board. Plagiarism, or copying text or results from other sources, is unethical behavior and is not tolerated at JSAPL. The journal focuses on traditional areas such as statistical inference, multivariate analysis, design of experiments, sampling theory, regression analysis, re-sampling methods, time series, nonparametric statistics, etc., and also gives special emphasis to established as well as emerging applied areas. All submitted manuscripts will undergo normal review process and the publication decision will be adjudged by quality, novelty, suitability and interest. The journal publishes 3 issues annually and accepts papers through peer review by professional colleagues in the relevant fields. In order to be considered for publication, your introduction should clearly explain the novelty, urgency and originality of the research in your article.
The present study deals with the classical and Bayesian estimation of the hybrid censored lifetime data under the assumption that the lifetimes follow the power Lindley distribution. By ass...
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