Mathematical Gnostics: Advanced Data Analysis for Research and Engineering Practice
暫譯: 數學知識論：研究與工程實踐的進階數據分析

Kovanic, Pavel

Mathematical Gnostics: Advanced Data Analysis for Research and Engineering Practice
  • 出版商: CRC
  • 出版日期: 2023-02-08
  • 售價: $6,980
  • 貴賓價: 9.5 折 $6,631
  • 語言: 英文
  • 頁數: 322
  • 裝訂: Hardcover - also called cloth, retail trade, or trade
  • ISBN: 1138339237
  • ISBN-13: 9781138339231
  • 相關分類: Data Science

    • 海外代購書籍(需單獨結帳)

商品描述

The book describes the theoretical principles of nonstatistical methods of data analysis but without going deep into complex mathematics. The emphasis is laid on presentation of solved examples of real data either from authors' laboratories or from open literature. The examples cover wide range of applications such as quality assurance and quality control, critical analysis of experimental data, comparison of data samples from various sources, robust linear and nonlinear regression as well as various tasks from financial analysis. The examples are useful primarily for chemical engineers including analytical/quality laboratories in industry, designers of chemical and biological processes.

Features:

  • Exclusive title on Mathematical Gnostics with multidisciplinary applications, and specific focus on chemical engineering.

  • Clarifies the role of data space metrics including the right way of aggregation of uncertain data.

  • Brings a new look on the data probability, information, entropy and thermodynamics of data uncertainty.

  • Enables design of probability distributions for all real data samples including smaller ones.

  • Includes data for examples with solutions with exercises in R or Python.

The book is aimed for Senior Undergraduate Students, Researchers, and Professionals in Chemical/Process Engineering, Engineering Physics, Stats, Mathematics, Materials, Geotechnical, Civil Engineering, Mining, Sales, Marketing and Service, and Finance.

商品描述(中文翻譯)

本書描述了非統計數據分析方法的理論原則，但並未深入複雜的數學。重點在於展示解決實際數據的範例，這些數據來自作者的實驗室或公開文獻。這些範例涵蓋了廣泛的應用，例如質量保證和質量控制、實驗數據的關鍵分析、來自各種來源的數據樣本比較、穩健的線性和非線性回歸，以及來自財務分析的各種任務。這些範例主要對化學工程師有用，包括工業中的分析/質量實驗室、化學和生物過程的設計師。

特色：
- 獨特的數學神秘學專題，具有多學科應用，特別聚焦於化學工程。
- 闡明數據空間度量的角色，包括不確定數據的正確聚合方式。
- 提供對數據概率、信息、熵和數據不確定性熱力學的新視角。
- 能夠為所有實際數據樣本（包括較小的樣本）設計概率分佈。
- 包含帶有解答的範例數據，並提供使用 R 或 Python 的練習。

本書適合高年級本科生、研究人員以及化學/過程工程、工程物理、統計學、數學、材料學、岩土工程、土木工程、採礦、銷售、市場營銷和服務、財務等領域的專業人士。

作者簡介

Pavel Kovanic (Born 1928) 1950-1955: Studied high voltage technology on the Technical University in Sverdlovsk (recently Ekaterinburg, Russia). 1956-1970: Researcher, head of a scientific department at the Nuclear Research Institute of the Czechoslovak Academy of Sciences. 1970-1995: Scientist at the Institute of the Automation and Theory of Information of the Czech Academy of Sciences. 1995-2018: As a retired scientist participated as a scientific consultant on several research projects including grants of European Union.

Zdenek Wagner born in 1957 in Prague, Czech Republic (formerly Czechoslovakia). He obtained master degree in physical chemistry from the Institute of Chemical Technology in Prague. The topic of his work was related to experimental determination of enthalpies of vaporization as well as theoretical modelling. After completion in 1981 he continued with PhD study in the Institute of Chemical Process Fundamentals of the CAS. He dealt with measurement of vapour-liquid equilibria at high pressure in systems related to supercritical fluid extraction. He finished PhD in 1985 and continues to work at the same institute. Later he extended his research activities to liquid-liquid equilibria and thermochemical properties of liquids. He deals mainly with nonstatistical methods of data analysis including reliable critical evaluation not only in thermodynamics but also in chemistry and physics of atmosphere. He is also active as a programmer of databases and measuring systems communicating over a public network. This serves to him as a strong motivation for development of reliable methods of data analysis working automatically without human interaction.

Magdalena Bendova graduated in physical chemistry at the University of Chemistry and Technology in Prague. After obtaining her PhD at the same university, she joined the Institute of Chemical Process Fundamentals of the Czech Academy of Sciences where she currently leads the research group of Thermodynamics of Task-Specific Materials. Her research interests include phase behaviour of pure compounds and multicomponent mixtures, thermodynamic properties of ionic liquids, and a comprehensive approach towards material characterization, particularly with respect to thermal energy storage.

Jan Rotrekl born 1986 in Prague. He obtained master degree in physical chemistry at the University of Chemistry and Technology in Prague. Since 2013 he continues with PhD study at the Institute of Chemical Process Fundamentals of the Czech Academy of Sciences as a member of group of Thermodynamics of Task-Specific Materials. His research interests are focused on measurement of phase equilibria and physio-chemical characterization of pure substances and mixtures.

作者簡介(中文翻譯)

Pavel Kovanic（生於1928年）1950-1955年：在斯維爾德洛夫斯克（現為俄羅斯的葉卡捷琳堡）技術大學學習高壓技術。1956-1970年：捷克斯洛伐克科學院核研究所的研究員及科學部門負責人。1970-1995年：捷克科學院自動化與信息理論研究所的科學家。1995-2018年：作為退休科學家，參與多個研究項目，擔任科學顧問，包括歐盟的資助項目。

Zdenek Wagner，生於1957年，捷克共和國布拉格（前捷克斯洛伐克）。他在布拉格化學技術學院獲得物理化學碩士學位，研究主題與蒸發焓的實驗測定及理論建模有關。1981年完成學業後，他在捷克科學院化學過程基礎研究所繼續攻讀博士學位，研究高壓系統中與超臨界流體萃取相關的蒸氣-液體平衡測量。1985年獲得博士學位後，他繼續在同一研究所工作。後來，他將研究活動擴展到液-液平衡和液體的熱化學性質，主要研究非統計數據分析方法，包括在熱力學、化學和大氣物理學中的可靠關鍵評估。他還活躍於數據庫和測量系統的程式設計，這些系統通過公共網絡進行通信，這為他開發自動化且無需人為干預的可靠數據分析方法提供了強大的動力。

Magdalena Bendova在布拉格化學技術大學獲得物理化學學位。獲得博士學位後，她加入捷克科學院化學過程基礎研究所，目前負責特定任務材料熱力學研究小組。她的研究興趣包括純化合物和多組分混合物的相行為、離子液體的熱力學性質，以及對材料特性進行全面的研究方法，特別是與熱能儲存相關的研究。

Jan Rotrekl，生於1986年，布拉格。他在布拉格化學技術大學獲得物理化學碩士學位。自2013年以來，他在捷克科學院化學過程基礎研究所繼續攻讀博士學位，成為特定任務材料熱力學小組的成員。他的研究興趣集中在相平衡的測量和純物質及混合物的物理化學特性分析。

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