https://migrationletters.com/index.php/ml/issue/feed 2024-06-25T19:06:08+03:00 Migration Letters editor.migrationletters@gmail.com Open Journal Systems <p><strong>Migration Letters</strong> is an international leading scholarly <strong>open-access</strong> journal for researchers, students, and scholars who investigate human migration as well as practitioners and quick dissemination of research in the field through its letter-type format enables concise sharing of short accounts of research, debates, case studies, book reviews and viewpoints in this multidisciplinary field of social sciences. Migration Letters is the first-ever letter-type journal in migration studies launched in 2004. It is following a strict double-blind peer review policy for research articles. From July 2023, <strong>Migration Letters</strong> publishes on a monthly basis.</p> <p>ISSN: 1741-8984 | e-ISSN: 1741-8992 | The abbreviated title of Migration Letters journal is: Migrat. Lett. | <strong>Migration Letters</strong> is abstracted and indexed widely.</p> <p> </p> https://migrationletters.com/index.php/ml/article/view/10731 2024-06-25T19:06:08+03:00 Adeel Anjum a@a.com Muhammad Zafar Iqbal bbcsdpub@gmail.com Muhammad Kashif bbcsdpub@gmail.com Madiha Ghamkhar bbcsdpub@gmail.com

<p><em>Probability distribution models are very helpful to solving many real-life problems. The development of new or extensions to an existing model is a very attractive area of research. Among many types of probability distribution models, weighted distributions are becoming more important for modeling data. Weighted distributions can help discover defects in manufacturing and outliers by weighting significant observations. Control charts are the most important tools to monitor process efficiency. In recent decades, researchers have focused on weighted distributions, especially those with size and area biased exponential distribution. This research&nbsp;introduces a novel control chart for a characteristic following a size-biased and area-biased exponential distribution to emphasize the relevance of weighted distributions. Charts are effectively determines size-biased and area-biased exponential distribution control chart limits also Monte Carlo simulations are used to assess different Average Run Length (ARL) values. </em></p>

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