Statistical Modeling and Applications on Real-Time Problems : Unraveling Insights through Advanced Analytical Techniques (Mathematical Engineering, Manufacturing, and Management Sciences)

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Statistical Modeling and Applications on Real-Time Problems : Unraveling Insights through Advanced Analytical Techniques (Mathematical Engineering, Manufacturing, and Management Sciences)

Shekhar, Chandra (EDT)/ Sinha, Raghaw Raman (EDT)

ウェブストア価格 ¥46,153（本体¥41,958）
CRC Press（2024/06発売）
外貨定価 US$ 220.00
ポイント 419pt

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製本 Hardcover:ハードカバー版／ページ数 232 p.
言語 ENG
商品コード 9781032392783
DDC分類 003.3

Full Description

In an era dominated by mathematical and statistical models, this book unravels the profound significance of these tools in decoding uncertainties within numerical, observational, and calculation-based data. From governmental institutions to private entities, statistical prediction models provide a critical framework for optimal decision-making, offering nuanced insights into diverse realms, from climate to production and beyond.

This book

·Serves as a comprehensive resource in statistical modeling, methodologies, and optimization techniques across various domains.

·Features contributions from global authors; the compilation comprises 10 insightful chapters, each addressing critical aspects of estimation and optimization through statistical modeling.

·Covers a spectrum of topics, from non-parametric goodness-of-fit statistics to Bayesian applications; the book explores novel resampling methods, advanced measures for empirical mode, and transient behavior analysis in queueing systems.

·Includes asymptotic properties of goodness-of-fit statistics, practical applications of Bayesian Statistics, modifications to the Hard EM algorithm, and explicit transient probabilities.

·Culminates with an exploration of an inventory model for perishable items, integrating preservation technology and learning effects to determine the economic order quantity.

This book stands as a testament to global collaboration, offering a rich tapestry of commendable statistical and mathematical modeling alongside real-world problem-solving. It is poised to ignite further exploration, discussion, and innovation in the realms of statistical modeling and optimization.

1. Goodness of Fit Based and Variable Selection in Non-parametric Measurement Error Model. 2. Bayesian Statistics with Applications in Cosmology. 3. An Improved Sufficient Bootstrapping. 4. A New Measure of Empirical Mode. 5. On the Distribution of a Busy Period for The Single Server Queue with Balking, Catastrophes and Repairs. 6. Studying the impact of feature importance and weighted aggregation in tackling process fairness. 7. Gaussian Mixture Model with Modified Hard EM Algorithm in Clustering Problems. 8. Impatient customers on an M/M/1 queueing system subjected to differentiated vacations. 9. Application of Error Correction Model (ECM) in stabilizing/adjusting fiscal burden post covid situation. 10. An inventory model with preserving environment for perishable items under learning effect