Statistical Modeling and Applications on Real-Time Problems: Unraveling Insights through Advanced Analytical Techniques

Shekhar, Chandra, Sinha, Raghaw Raman

Statistical Modeling and Applications on Real-Time Problems: Unraveling Insights through Advanced Analytical Techniques
  • 出版商: CRC
  • 出版日期: 2024-06-06
  • 售價: $6,680
  • 貴賓價: 9.5 折 $6,346
  • 語言: 英文
  • 頁數: 232
  • 裝訂: Hardcover - also called cloth, retail trade, or trade
  • ISBN: 1032392789
  • ISBN-13: 9781032392783

    • 海外代購書籍(需單獨結帳)

相關主題

商品描述

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.

商品描述(中文翻譯)

在一個由數學和統計模型主導的時代，這本書揭示了這些工具在解讀數值、觀察和計算數據中的不確定性方面的深遠意義。從政府機構到私營實體，統計預測模型為最佳決策提供了關鍵框架，提供了對各個領域的細緻洞察，從氣候到生產等等。

這本書:
- 是一本涵蓋各個領域統計建模、方法論和優化技術的全面資源。
- 包含來自全球作者的貢獻；這本彙編包括10個富有洞察力的章節，每個章節都涉及統計建模中關鍵的估計和優化方面。
- 涵蓋了一系列主題，從非參數拟合度統計到貝葉斯應用；本書探討了新穎的重抽樣方法、用於實證模態和排隊系統中的瞬態行為分析的高級度量。
- 包括拟合度統計的漸近性質、貝葉斯統計的實際應用、對Hard EM算法的修改以及明確的瞬態概率。
- 最後探討了一個用於易腐品的庫存模型，整合了保存技術和學習效應以確定經濟訂購量。

這本書是全球合作的見證，提供了一個豐富的統計和數學建模，以及實際問題解決。它注定在統計建模和優化領域引發進一步的探索、討論和創新。

作者簡介

Chandra Shekhar is a distinguished academician and the former Head of the Department of Mathematics at BITS Pilani, India. He is actively engaged in both research and teaching, and his expertise encompasses a wide range of mathematical fields. These areas include Queueing Theory, Computer and Communication Systems, Machine Repair Problems, Reliability and Maintainability, Stochastic Processes, Evolutionary Computation, Statistical Analysis, and Fuzzy Set & Logic. At both the undergraduate and postgraduate levels, he imparts knowledge in subjects such as Probability and Statistics, Differential Equations, Linear Algebra, Advanced Calculus, Complex Variables, Fuzzy Logic, Operations Research, Statistical Inference, and more. He is a pioneer in Evolutionary Computation, Markovian and Stochastic Modeling, Queuing Analysis and its Applications, Inventory Theory, and Reliability Theory. He actively participates in national and international conferences, Faculty Development Programs (FDPs), and has taken the lead in organizing numerous conferences, workshops, and symposiums as a convener and organizing secretary. He has received the Best Research Paper Award at an international conference. His contributions extend to scholarly publications, with over 50 research articles published in esteemed journals within these domains. Additionally, he has supervised three Ph.D. theses and authored book chapters in edited books published by globally recognized publishers. Chandra Shekhar's authorship includes textbooks such as "Differential Equations, Calculus of Variations, and Special Functions," as well as edited books titled "Mathematical Modeling and Computation of Real-Time Problems: An Interdisciplinary Approach" and "Modeling and Applications in Operations Research."

Beyond his academic roles, Chandra Shekhar actively serves as a member of editorial boards and as a reviewer for prestigious journals and academic societies. He also contributes his expertise to various academic committees, including Hon'ble Governor/Chancellor nominees, the Board of Management, Doctoral Research Committees, Board of Studies, advisory boards, faculty selection committees, and examination boards for government and private universities, institutions, and research laboratories. As a professional, he has collaborated with and visited several renowned organizations, including IIRS (ISRO), CSIR-IIP, NIH, WIHG, CPWD, NTPC, Bank of Maharashtra, and APS Lifetech.

R. R. Sinha received his doctorate in "Sampling Techniques" from the Department of Statistics at Banaras Hindu University, Varanasi, India in 2001. He is currently an Associate Professor in the Department of Mathematics at Dr. B. R. Ambedkar National Institute of Technology, Jalandhar, India. In addition to overseeing the dissertations of M. Tech. (Artificial Intelligence) and M. Sc. (Mathematics) candidates, he has guided two Ph. D. and three M. Phil. candidates. Dr. Sinha has more than 31 research publications and 3 book chapters published on various topics related to sampling techniques in national and international journals and proceedings. He has presented more than twenty-five research papers in international seminars/conferences/symposia and has been awarded the first prize for the best oral presentation of a research paper in an international conference. He is currently a life member of the Indian Society for Probability and Statistics, Indian Society of Agricultural Statistics, Indian Statistical Association, International Indian Statistical Association, and Ramanujan Mathematical Society. In addition to his scholarly responsibilities, Dr Sinha is an active member of editorial boards and a reviewer for esteemed journals and academic associations. His area of specialization is Sampling Theory, Data Analysis and Inference. ORCID identifier number of Dr. R. R. Sinha is 0000-0001-6386-1973.

作者簡介(中文翻譯)

Chandra Shekhar是一位傑出的學者，曾任印度比特斯皮拉尼學院數學系主任。他積極從事研究和教學工作，專長涵蓋了廣泛的數學領域。這些領域包括排隊理論、計算機和通信系統、機器維修問題、可靠性和可維護性、隨機過程、進化計算、統計分析和模糊集合與邏輯。在本科和研究生課程中，他教授概率與統計、微分方程、線性代數、高等微積分、複變數、模糊邏輯、運籌學、統計推斷等科目。他在進化計算、馬可夫和隨機建模、排隊分析及其應用、庫存理論和可靠性理論方面是一位先驅者。他積極參與國內外會議、教師發展計劃和作為召集人和組織秘書組織了許多會議、研討會和研討會。他曾在國際會議上獲得最佳研究論文獎。他的貢獻還包括在這些領域的知名期刊上發表了50多篇研究論文。此外，他指導了三篇博士論文，並在全球知名出版商出版的編輯書籍中撰寫了章節。Chandra Shekhar的著作包括教科書《微分方程、變分計算和特殊函數》以及名為《實時問題的數學建模和計算：跨學科方法》和《運籌學中的建模和應用》的編輯書籍。

除了學術角色外，Chandra Shekhar還積極擔任編輯委員會成員和著名期刊和學術社團的審稿人。他還為包括尊敬的期刊和學術協會在內的各種學術委員會提供專業知識，包括尊敬的州長/校長提名委員會、管理委員會、博士研究委員會、課程委員會、諮詢委員會、教師選拔委員會以及政府和私立大學、機構和研究實驗室的考試委員會。作為一位專業人士，他與許多知名組織合作並訪問過，包括IIRS（ISRO）、CSIR-IIP、NIH、WIHG、CPWD、NTPC、Bank of Maharashtra和APS Lifetech。

R. R. Sinha於2001年在印度瓦拉納西的班納拉斯印度大學統計學系獲得了關於「抽樣技術」的博士學位。他目前是印度賈蘭達爾國家技術學院數學系的副教授。除了監督碩士（人工智能）和碩士（數學）候選人的論文外，他還指導了兩位博士和三位哲學碩士候選人。Sinha博士在國內外期刊和會議的各種與抽樣技術相關的主題上發表了31多篇研究論文和3篇書籍章節。他在國際研討會/會議/研討會上發表了25多篇研究論文，並獲得了國際會議最佳口頭報告的第一名獎。他目前是印度概率和統計學會、印度農業統計學會、印度統計學會、國際印度統計學會和拉馬努金數學學會的終身會員。除了學術責任外，Sinha博士還是編輯委員會的活躍成員和受尊敬的期刊和學術協會的審稿人。他的專業領域是抽樣理論、數據分析和推斷。R. R. Sinha博士的ORCID識別號碼是0000-0001-6386-1973。

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