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Alan Jones

    Risk, Opportunity, Uncertainty and Other Random Models
    Best Fit Lines & Curves
    Starburst
    Potsdamer Platz
    Die schönsten Mercedes
    Laura Croft: Tomb Raider.
    • In den Tempeln verborgener Städte, in den undurchdringbaren Tiefen des Dschungels von Kambodscha und unter dem ewigen Eis Sibiriens sucht Lara die beiden Hälften eines mystischen Dreiecks, das, würden diese zusammengefügt, Macht über die Zeit verleiht. Doch Lara ist nicht die Einzige, die sich auf der Suche befindet. Und ihre Widersacher schrecken vor nichts zurück.§Das Begleitbuch von Alan Jones lässt die Schlüsselszenen des Films anhand von exklusivem Bildmaterial ein weiteres Mal lebendig werden. Interviews mit dem Regisseur und den Darstellern - allen voran ein umfangreiches Gespräch mit Angelina Jolie zu ihrer Rolle als Lara Croft - sowie Informationen über die Geschichte des Spiels Tomb Raider, die Hintergründe der Story und die Drehorte liefern einen tiefen Einblick in die Entstehung dieses Blockbusters.

      Laura Croft: Tomb Raider.
    • Starburst

      The Complete Alan Jones Film Reviews 1977-2008

      • 648 Seiten
      • 23 Lesestunden
      Starburst
    • Best Fit Lines & Curves

      And Some Mathe-Magical Transformations

      • 498 Seiten
      • 18 Lesestunden

      Focusing on Simple Linear Regression, the book explores its purpose, effectiveness, accuracy, and application for creating estimates. It delves into the transformative nature of this statistical method, highlighting how to leverage its capabilities for practical use. Through a detailed examination, readers will gain insights into the functionality and potential of Simple Linear Regression in various contexts.

      Best Fit Lines & Curves
    • Focusing on risk and uncertainty, this volume delves into modeling techniques, particularly emphasizing Monte Carlo Simulation. It offers practical guidance on the effective use of this method, detailing best practices and common pitfalls. Additionally, the book serves as a resource for testing various assumptions in broader modeling contexts, making it a valuable tool for those looking to enhance their analytical skills in uncertain environments.

      Risk, Opportunity, Uncertainty and Other Random Models
    • Focusing on building project and engineering estimates, this guide details essential processes, methods, and techniques. Alan Jones introduces Best Practice Spreadsheet Modelling, emphasizing the importance of understanding spreadsheet risks and the concept of Estimate Maturity. This volume serves as a foundational resource for professionals looking to enhance their estimating skills and improve project outcomes.

      Principles, Process and Practice of Professional Number Juggling
    • Focusing on the foundational concepts of probability and statistics, the book provides a practical guide for professionals involved in estimating. It delves into Measures of Central Tendency—Means, Modes, and Medians—explaining their differences, relevance, and applications in estimating scenarios. Alan Jones offers insights that are essential for understanding how these statistical tools can enhance accuracy in professional estimations.

      Probability, Statistics and Other Frightening Stuff
    • Focusing on temperature-programmed reduction (TPR), this guide explores its principles and theoretical framework for solid materials characterization. It highlights recent trends and necessary instrumentation while detailing TPR's applications in heterogeneous catalysis, materials science, and analytical chemistry.

      Tempature-Programmed Reduction for Solid Materials Characterization
    • The book focuses on the empirical nature of learning, particularly in improving efficiency through repetitive tasks. It introduces two key learning curve models, Wright and Crawford, providing practical guidance on their application. Alan Jones emphasizes the relevance of these models in estimating tasks, offering insights into when and how to implement them effectively for enhanced organizational performance.

      Learning, Unlearning and Re-Learning Curves