Mathematical Gnostics: Advanced Data Analysis for Research and Engineering Practice
Kovanic, Pavel
- 出版商: CRC
- 出版日期: 2023-02-08
- 售價: $6,370
- 貴賓價: 9.5 折 $6,052
- 語言: 英文
- 頁數: 322
- 裝訂: Hardcover - also called cloth, retail trade, or trade
- ISBN: 1138339237
- ISBN-13: 9781138339231
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相關分類:
Data Science
海外代購書籍(需單獨結帳)
相關主題
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)
這本書描述了非統計數據分析方法的理論原則，但不深入探討複雜的數學知識。重點在於提供來自作者實驗室或公開文獻的真實數據解決方案的示例。這些示例涵蓋了廣泛的應用，例如質量保證和質量控制、實驗數據的詳細分析、來自不同來源的數據樣本比較、強健的線性和非線性回歸以及金融分析中的各種任務。這些示例主要適用於化學工程師，包括工業中的分析/質量實驗室和化學生物過程設計師。
特點：
- 專注於化學工程領域的數學知識應用，具有多學科應用的獨特標題。
- 澄清了數據空間度量的作用，包括不確定數據的合理聚合方式。
- 提供了對數據概率、信息、熵和數據不確定性的熱力學的新觀點。
- 可以設計適用於所有真實數據樣本（包括較小樣本）的概率分佈。
- 包含了帶有R或Python練習解答的示例數據。
這本書的目標讀者是高年級本科生、研究人員以及化學/過程工程、工程物理、統計學、數學、材料、岩土、土木工程、礦業、銷售、市場營銷和服務以及金融領域的專業人士。
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（1928年出生）1950年至1955年：在俄羅斯葉卡捷琳堡（前稱蘇維埃聯邦社會主義共和國蘇維埃聯邦社會主義共和國）的技術大學學習高壓技術。1956年至1970年：捷克斯洛伐克科學院核研究所的研究員，科學部門負責人。1970年至1995年：捷克科學院自動化與信息理論研究所的科學家。1995年至2018年：作為退休科學家參與了幾個研究項目，包括歐洲聯盟的資助項目。
Zdenek Wagner於1957年出生於捷克共和國（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。他的研究工作涉及蒸發焓的實驗測定和理論建模。在1981年完成後，他繼續在捷克科學院化學過程基礎研究所攻讀博士學位。他研究與超臨界流體萃取相關的高壓蒸汽液平衡測量。他於1985年獲得博士學位並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。他主要從事非統計數據分析方法，包括在熱力學以及大氣化學和物理學領域的可靠關鍵評估。他還積極參與公共網絡上的數據庫和測量系統的編程工作。這對他來說是開發可靠的自動數據分析方法的強大動力，無需人工干預。
Magdalena Bendova在布拉格化學技術大學獲得物理化學學位。在同一所大學獲得博士學位後，她加入了捷克科學院化學過程基礎研究所，目前領導著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成分混合物的相行為，離子液體的熱力學性質，以及對材料特性的全面研究，特別是在熱能儲存方面。
Jan Rotrekl於1986年出生於布拉格。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，他作為特定任務材料熱力學研究小組的成員，在捷克科學院化學過程基礎研究所攻讀博士學位。他的研究興趣集中在相平衡的測量和純物質和混合物的物理化學特性的研究。
