Statistical Modeling and Applications on Real-Time Problems: Enhancing Understanding and Practical Implementation
暫譯: 實時問題的統計建模與應用:增強理解與實務實施

Shekhar, Chandra, Sinha, Raghaw Raman

  • 出版商: CRC
  • 出版日期: 2025-12-25
  • 售價: $3,560
  • 貴賓價: 9.5$3,382
  • 語言: 英文
  • 頁數: 180
  • 裝訂: Quality Paper - also called trade paper
  • ISBN: 1032771062
  • ISBN-13: 9781032771069
  • 相關分類: 機率統計學 Probability-and-statistics
  • 海外代購書籍(需單獨結帳)

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商品描述

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

- Traverses diverse fields for insights into real-world challenges.

- Delves into the intricacies of the Lomax distribution under a Type II censoring scheme.

- Uncovers estimators supported by empirical and simulation studies.

- Scrutinizes 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.

商品描述(中文翻譯)

在現代數據分析的動態環境中,這本由全球專家精心編輯的指南探討了最新的統計方法、建模技術和優化策略。這本全面的文本提供了工程、經濟、醫學和農業等多個領域的見解,針對現實世界中的挑戰進行探討。它深入研究了在第二類刪除方案下的Lomax分佈的複雜性,探索了各種損失函數。這本彙編揭示了針對人口比例、兩個人口均值的乘積等的估計量,並以實證和模擬研究為支持。此外,它還仔細檢視了印度剖腹產的普遍性,並與社會經濟因素相關聯。

這本書

- 跨越多個領域,提供對現實世界挑戰的見解。
- 深入研究在第二類刪除方案下的Lomax分佈的複雜性。
- 揭示了以實證和模擬研究為支持的估計量。
- 仔細檢視了印度剖腹產的普遍性,並與社會經濟因素相關聯。

這本彙編承諾全面探索先進的統計和優化方法,為讀者提供在各種現實問題中的實用應用的寶貴見解。

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,曾任印度比爾拉尼科技學院(BITS Pilani)數學系主任。他積極參與研究和教學,專長涵蓋廣泛的數學領域,包括排隊理論(Queueing Theory)、計算機與通信系統(Computer and Communication Systems)、機器修理問題(Machine Repair Problems)、可靠性與可維護性(Reliability and Maintainability)、隨機過程(Stochastic Processes)、進化計算(Evolutionary Computation)、統計分析(Statistical Analysis)以及模糊集合與邏輯(Fuzzy Set & Logic)。在本科和研究生階段,他教授的科目包括機率與統計(Probability and Statistics)、微分方程(Differential Equations)、線性代數(Linear Algebra)、高等微積分(Advanced Calculus)、複變數(Complex Variables)、模糊邏輯(Fuzzy Logic)、運籌學(Operations Research)、統計推斷(Statistical Inference)等。他在進化計算、馬可夫與隨機建模、排隊分析及其應用、庫存理論(Inventory Theory)和可靠性理論(Reliability Theory)方面是先驅。他積極參加國內外會議、教師發展計畫(Faculty Development Programs, FDPs),並作為召集人和組織秘書主辦了多場會議、研討會和座談會。他在國際會議上獲得最佳研究論文獎。他的貢獻還包括學術出版物,在這些領域發表了超過50篇研究文章於知名期刊。此外,他指導了三篇博士論文,並在全球知名出版社出版的編輯書籍中撰寫了書章。Chandra Shekhar 的著作包括《微分方程、變分法與特殊函數》(Differential Equations, Calculus of Variations, and Special Functions)等教科書,以及名為《數學建模與實時問題的計算:跨學科方法》(Mathematical Modeling and Computation of Real-Time Problems: An Interdisciplinary Approach)和《運籌學中的建模與應用》(Modeling and Applications in Operations Research)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,並為知名期刊和學術社團擔任審稿人。他還為各種學術委員會貢獻專業知識,包括榮譽州長/校長提名、管理委員會、博士研究委員會、學術委員會、諮詢委員會、教職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。作為專業人士,他曾與多個知名組織合作並訪問,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(Banaras Hindu University)統計系獲得「抽樣技術」(Sampling Techniques)博士學位。目前,他是印度賈蘭達爾的德拉 B. R. 安貝德卡國立技術學院(Dr. B. R. Ambedkar National Institute of Technology)數學系的副教授。除了指導人工智慧(Artificial Intelligence)碩士(M. Tech.)和數學(Mathematics)碩士(M. Sc.)候選人的論文外,他還指導了兩名博士(Ph. D.)和三名碩士(M. Phil.)候選人。Dr. Sinha 擁有超過31篇研究出版物和3篇書章,發表於國內外期刊和會議論文集中,主題涉及抽樣技術。他在國際研討會/會議/座談會上發表了超過25篇研究論文,並在國際會議上獲得最佳口頭報告的第一名獎項。他目前是印度機率與統計學會(Indian Society for Probability and Statistics)、印度農業統計學會(Indian Society of Agricultural Statistics)、印度統計協會(Indian Statistical Association)、國際印度統計協會(International Indian Statistical Association)和拉馬努詹數學學會(Ramanujan Mathematical Society)的終身會員。除了學術責任外,Dr. Sinha 還是編輯委員會的活躍成員,並為知名期刊和學術協會擔任審稿人。他的專業領域是抽樣理論(Sampling Theory)、數據分析與推斷(Data Analysis and Inference)。Dr. R. R. Sinha 的 ORCID 識別號為 0000-0001-6386-1973。