theory of errors

In the realm of statistical research, two primary methodologies can be identified: the first involves addressing self-motivated problems, where researchers select topics based on personal interest, often as a continuation of their doctoral studies. The second methodology focuses on collaborative problem-solving with researchers from various scientific disciplines, including both experimental sciences and other fields. While publishing original articles in both approaches is valuable, the collaborative method is particularly significant as it aims to address real-world problems, thereby enhancing the scientific discourse. Currently, most statistical research in Iran predominantly follows the first approach. In contrast, the second approach not only addresses pressing issues faced by the country—provided these problems are genuinely relevant—but also fosters a deeper understanding of statistics among researchers from other disciplines. This collaboration can lead to increased engagement between statisticians and professionals in various fields, ultimately promoting a more comprehensive understanding of statistical science across diverse areas of knowledge. The lack of emphasis on interdisciplinary collaboration is particularly concerning given the existence of critical real-world problems that can only be effectively addressed through joint efforts between statisticians and experts from other domains. This article will briefly examine several instances of research that have either been overlooked or received minimal attention, highlighting the need for greater interdisciplinary engagement in statistical research within Iran.