
Please use this identifier to cite or link to this item:
http://dspace.bits-pilani.ac.in:8080/jspui/handle/123456789/17100
Title: | Statistical modeling and applications on real-time problems enhancing understanding and practical implementation |
Authors: | Shekhar, Chandra |
Keywords: | Mathematics Statistical Modeling Data analysis |
Issue Date: | 2024 |
Publisher: | CRC Press |
Abstract: | In 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. |
URI: | https://www.routledge.com/Statistical-Modeling-and-Applications-on-Real-Time-Problems-Enhancing-Understanding-and-Practical-Implementation/Shekhar-Sinha/p/book/9781032766034?srsltid=AfmBOor4QTed1jR9hHtw4zZN5dzzQqBAVZALvkEdkGcKouutni0-TGYE http://dspace.bits-pilani.ac.in:8080/jspui/handle/123456789/17100 |
Appears in Collections: | Department of Mathematics |
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