Statistical Modeling and Applications on Real-Time Problems: Enhancing Understanding and Practical Implementation

Shekhar, Chandra, Sinha, Raghaw Raman

  • 出版商: CRC
  • 出版日期: 2024-06-06
  • 售價: $6,600
  • 貴賓價: 9.5$6,270
  • 語言: 英文
  • 頁數: 180
  • 裝訂: Hardcover - also called cloth, retail trade, or trade
  • ISBN: 1032766034
  • ISBN-13: 9781032766034
  • 下單後立即進貨 (約2~4週)

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景觀中,這本由全球專家精心編輯的指南探索了最新的統計方法、建模技術和優化策略。這本全面的書籍提供了對工程、經濟學、醫學和農業等多個領域的深入洞察,解決現實世界中的挑戰。它深入探討了在第二型截尾方案下的Lomax分佈的細節,並探索了各種損失函數。這本彙編揭示了人口比例、兩個母體均值的乘積等估計量,並得到了實證和模擬研究的支持。此外,它還審查了印度剖腹產的普遍程度,並與社會經濟因素相關聯。

這本書:
- 涵蓋多個領域,以深入了解現實世界中的挑戰。
- 深入探討了在第二型截尾方案下的Lomax分佈的細節。
- 揭示了經實證和模擬研究支持的估計量。
- 審查了印度剖腹產的普遍程度,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,為讀者提供對這些方法在各種現實世界問題中的實際應用的寶貴見解。

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先驅者。他積極參與國內外會議、教師發展計劃和組織多個會議、研討會和研討會,擔任召集人和組織秘書。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還擔任編輯委員會成員和知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機構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。作為一名專業人士,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「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。除了指導碩士(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知名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。