Statistical Modeling and Applications on Real-Time Problems
eBook - ePub

Statistical Modeling and Applications on Real-Time Problems

Unraveling Insights through Advanced Analytical Techniques

  1. 248 pages
  2. English
  3. ePUB (mobile friendly)
  4. Available on iOS & Android
eBook - ePub

Statistical Modeling and Applications on Real-Time Problems

Unraveling Insights through Advanced Analytical Techniques

About this book

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

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

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

Ā·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.

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

Ā·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.

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Yes, you can access Statistical Modeling and Applications on Real-Time Problems by Chandra Shekhar,Raghaw Raman Sinha in PDF and/or ePUB format, as well as other popular books in Technology & Engineering & Industrial Engineering. We have over one million books available in our catalogue for you to explore.

Table of contents

  1. Cover
  2. Half Title
  3. Series Page
  4. Title Page
  5. Copyright Page
  6. Contents
  7. Preface
  8. Acknowledgement
  9. Contributors
  10. About the editors
  11. 1 Goodness of fit based and variable selection in non-parametric measurement error model
  12. 2 Bayesian statistics with applications in cosmology
  13. 3 An improved sufficient bootstrapping
  14. 4 A new measure of empirical mode
  15. 5 On the distribution of a busy period for the single server queue with balking, catastrophes and repairs
  16. 6 Studying the impact of feature importance and weighted aggregation in tackling process fairness
  17. 7 Gaussian mixture model with modified hard EM algorithm in clustering problems
  18. 8 Impatient customers on an M/M/1 queueing system subjected to differentiated vacations
  19. 9 Application of Error Correction Model (ECM) in stabilizing/adjusting fiscal burden post COVID situation
  20. 10 An inventory model with preserving environment for perishable items under learning effect
  21. Index