Abstract

This meta-analysis provides a detailed bibliometric overview of the research landscape surrounding generalizations of the Lindley distribution, aiming to capture the depth and breadth of scholarly activity in this evolving field of statistical modelling. By systematically analysing a wide range of academic sources, including journal articles and related literature, the study identifies prevailing research themes, influential publications, and leading contributors who have shaped the domain. Utilizing established bibliometric techniques, it quantifies the impact of individual works, examines patterns of collaboration among researchers, and maps the geographical distribution of research output across the globe. The analysis also highlights emerging areas of interest, uncovers shifts in research focus over time, and brings attention to seminal studies that have driven theoretical and applied advancements. Through this comprehensive approach, the study not only documents the progression of knowledge on Lindley distribution generalizations but also offers valuable insights into current trends and potential future directions, thereby contributing meaningfully to the broader statistical and mathematical sciences literature

Keywords

lindley distribution, bibliometric analysis, web of science, generalizations