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Please use this identifier to cite or link to this item: http://dspace.bits-pilani.ac.in:8080/jspui/handle/123456789/17100
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dc.contributor.authorShekhar, Chandra-
dc.date.accessioned2025-02-03T10:21:35Z-
dc.date.available2025-02-03T10:21:35Z-
dc.date.issued2024-
dc.identifier.urihttps://www.routledge.com/Statistical-Modeling-and-Applications-on-Real-Time-Problems-Enhancing-Understanding-and-Practical-Implementation/Shekhar-Sinha/p/book/9781032766034?srsltid=AfmBOor4QTed1jR9hHtw4zZN5dzzQqBAVZALvkEdkGcKouutni0-TGYE-
dc.identifier.urihttp://dspace.bits-pilani.ac.in:8080/jspui/handle/123456789/17100-
dc.description.abstractIn the dynamic landscape of modern data analysis, this curated guide by global experts explores the latest in statistical methodologies, modeling techniques, and optimization strategies. This comprehensive text offers insights into diverse fields such as engineering, economics, medicine, and agriculture, addressing real-world challenges. It delves into the intricacies of the Lomax distribution under a Type II censoring scheme, exploring various loss functions. The compilation uncovers estimators for population proportion, product of two population means, and more, supported by empirical and simulation studies. Additionally, it scrutinizes the prevalence of caesarean section deliveries in India, correlating with socio-economic factors.en_US
dc.language.isoenen_US
dc.publisherCRC Pressen_US
dc.subjectMathematicsen_US
dc.subjectStatistical Modelingen_US
dc.subjectData analysisen_US
dc.titleStatistical modeling and applications on real-time problems enhancing understanding and practical implementationen_US
dc.typeBooken_US
Appears in Collections:Department of Mathematics

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