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portada Statistical Modeling and Applications on Real-Time Problems: Enhancing Understanding and Practical Implementation (Mathematical Engineering, Manufacturing, and Management Sciences)
Type
Physical Book
Publisher
Author
Language
English
Pages
384
Format
Hardcover
ISBN13
9781032766034
Edition No.
1

Statistical Modeling and Applications on Real-Time Problems: Enhancing Understanding and Practical Implementation (Mathematical Engineering, Manufacturing, and Management Sciences)

Shekhar Chandra,Sinha Raghaw Raman (Author) · Crc Press · Hardcover

Statistical Modeling and Applications on Real-Time Problems: Enhancing Understanding and Practical Implementation (Mathematical Engineering, Manufacturing, and Management Sciences) - Shekhar Chandra,Sinha Raghaw Raman

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Synopsis "Statistical Modeling and Applications on Real-Time Problems: Enhancing Understanding and Practical Implementation (Mathematical Engineering, Manufacturing, and Management Sciences)"

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.This book- Traverse diverse fields for insights into real-world challenges.- Delve into the intricacies of the Lomax distribution under a Type II censoring scheme.- Uncover estimators supported by empirical and simulation studies.- Scrutinize the prevalence of caesarean section deliveries in India, correlating with socio-economic factors.This compilation promises a holistic exploration of advanced statistical and optimization methods, offering readers valuable insights into their pragmatic applications across a spectrum of real-world issues.

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