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Last Month's Catalog Additions

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  • GEOMAR Catalogue / E-Books  (2)
  • Business information services.  (1)
  • Information visualization  (1)
  • Environmental protection.
  • Cambridge : Cambridge University Press  (1)
  • Singapore : Springer Nature Singapore  (1)
  • London : IWA Publishing
  • München : De Gruyter
  • Wiesbaden : Springer Vieweg. in Springer Fachmedien Wiesbaden GmbH
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  • GEOMAR Catalogue / E-Books  (2)
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Publisher
  • Cambridge : Cambridge University Press  (1)
  • Singapore : Springer Nature Singapore  (1)
  • London : IWA Publishing
  • München : De Gruyter
  • Wiesbaden : Springer Vieweg. in Springer Fachmedien Wiesbaden GmbH
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  • 1
    Online Resource
    Online Resource
    Singapore : Springer Nature Singapore | Singapore : Imprint: Springer
    Keywords: Sustainability. ; Business. ; Management science. ; Education. ; Technological innovations. ; Business information services.
    Description / Table of Contents: - A review of balanced scorecard application in public hospital setting -- Critical Success Factors in Implementing Sustainable Business Models: The ITAL case -- Earnings Conference Calls’ Tone in Just Meet-Beat Firms: Evidence from the UK -- Economic Sustainability through IPSAS: A Global Perspective -- ESG Reporting: Impacts, Benefits and Challenges -- Green Marketing Strategies: Research Agenda for Sustainable Consumer Behavior and Corporate Responsibility -- Size as a Motive for Bank Window Dressing: Evidence from an Emerging Economy -- Strengths and Weaknesses of Integrated Reporting: A Comprehensive Literature Review -- The impact of Jordanian tourism website performance on online purchase intention: Review -- Sustainability in Education -- Outstanding Support for Students Becoming a Social Entrepreneurship Course -- Environmental orientation and sustainable innovation performance: The role of dynamic capabilities -- Mapping the Landscape of Sustainable Finance: A Scopus Based Bibliometric Analysis -- Shedding Light on the Link: Salient Stakeholder Theory and Sustainability Connections -- Accounting in the Digital Era: Does Big Data add value? -- Driving Sustainability Forward: Do Fintech and Digital Transformation Matter? -- Factors affecting big data analytics in Jordanian commercial banks -- Investigating Firm-Generated Content's Influence on Digital Marketing Effectiveness in Private Hospitals – A Jordanian Perspective -- Sustainability Practices within Fin-Tech Firms: A Literature Review -- The Impact of Information and Communications Technology (ICTs) on Food Security in Jordan -- The moderating role of accountant’s capability on the relationship AIS and the quality of financial reporting: A literature review.
    Type of Medium: Online Resource
    Pages: 1 Online-Ressource(XII, 288 p. 18 illus., 14 illus. in color.)
    Edition: 1st ed. 2024.
    ISBN: 9789819729814
    Series Statement: Contributions to Environmental Sciences & Innovative Business Technology
    Language: English
    Location Call Number Limitation Availability
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  • 2
    Keywords: Climatology Statistical methods ; Climatology Data processing ; Information visualization ; R (Computer program language) ; Python (Computer program language) ; Lehrbuch ; Klimatologie ; Geostatistik ; Geoinformatik ; Datenanalyse ; Visualisierung ; R ; Python
    Description / Table of Contents: "A comprehensive overview of essential statistical concepts, useful statistical methods, data visualization, and computing tools for the climate and related sciences. This book is an invaluable reference for students and researchers in climatology and its connected fields who wish to learn data science, statistics, R and Python programming"--
    Type of Medium: Book
    Pages: xxii, 391 Seiten , Illustrationen, Diagramme
    ISBN: 9781108842570 , 9781108829465
    DDC: 551.63/3
    RVK:
    Language: English
    Note: Literaturangaben und Index , Basics of climate data arrays, statistics, and visualization -- Elementary probability and statistics -- Estimation and decision making -- Regression models and methods -- Matrices for climate data -- Covariance matrices, EOFs, and PCs -- Introduction to time series -- Spectral analysis of time series -- Introduction to machine learning.
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