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  • Technology Roadmapping and Development : A Quantitative Approach to the Management of Technology
    Technology Roadmapping and Development : A Quantitative Approach to the Management of Technology

    This textbook explains Technology Roadmapping, in both its development and practice, and illustrates the underlying theory of, and empirical evidence for, technologic evolution over time afforded by this strategy.The book contains a rich set of examples and practical exercises from a wide array of domains in applied science and engineering such as transportation, energy, communications, and medicine.Professor de Weck gives a complete review of the principles, methods, and tools of technology management for organizations and technologically-enabled systems, including technology scouting, roadmapping, strategic planning, R&D project execution, intellectual property management, knowledge management, partnering and acquisition, technology transfer, innovation management, and financial technology valuation.Special topics also covered include Moore’s law, S-curves, the singularity and fundamental limits to technology.Ideal for university courses in engineering, management, and business programs, as well as self-study or online learning for professionals in a range of industries, readers of this book will learn how to develop and deploy comprehensive technology roadmaps and R&D portfolios on diverse topics of their choice. Introduces a unique framework, Advanced Technology Roadmap Architecture (ATRA), for developing quantitative technology roadmaps and competitive R&D portfolios through a lucid and rigorous step-by-step approach;Elucidates the ATRA framework through analysis which was validated on an actual $1 billion R&D portfolio at Airbus, leveraging a pedagogy significantly beyond typical university textbooks and problem sets;Reinforces concepts with in-depth case studies, practical exercises, examples, and thought experiments interwoven throughout the text;Maximizes reader competence on how to explicitly link strategy, finance, and technology. The book follows and supports the MIT Professional Education Courses “Management of Technology: Roadmapping & Development,” https://professional.mit.edu/course-catalog/management-technology-roadmapping-development and “Management of Technology: Strategy & Portfolio Analysis” https://professional.mit.edu/course-catalog/management-technology-strategy-portfolio-analysis

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  • Technology Roadmapping and Development : A Quantitative Approach to the Management of Technology
    Technology Roadmapping and Development : A Quantitative Approach to the Management of Technology

    This textbook explains Technology Roadmapping, in both its development and practice, and illustrates the underlying theory of, and empirical evidence for, technologic evolution over time afforded by this strategy.The book contains a rich set of examples and practical exercises from a wide array of domains in applied science and engineering such as transportation, energy, communications, and medicine.Professor de Weck gives a complete review of the principles, methods, and tools of technology management for organizations and technologically-enabled systems, including technology scouting, roadmapping, strategic planning, R&D project execution, intellectual property management, knowledge management, partnering and acquisition, technology transfer, innovation management, and financial technology valuation.Special topics also covered include Moore’s law, S-curves, the singularity and fundamental limits to technology.Ideal for university courses in engineering, management, and business programs, as well as self-study or online learning for professionals in a range of industries, readers of this book will learn how to develop and deploy comprehensive technology roadmaps and R&D portfolios on diverse topics of their choice. Introduces a unique framework, Advanced Technology Roadmap Architecture (ATRA), for developing quantitative technology roadmaps and competitive R&D portfolios through a lucid and rigorous step-by-step approach;Elucidates the ATRA framework through analysis which was validated on an actual $1 billion R&D portfolio at Airbus, leveraging a pedagogy significantly beyond typical university textbooks and problem sets;Reinforces concepts with in-depth case studies, practical exercises, examples, and thought experiments interwoven throughout the text;Maximizes reader competence on how to explicitly link strategy, finance, and technology. The book follows and supports the MIT Professional Education Courses “Management of Technology: Roadmapping & Development,” https://professional.mit.edu/course-catalog/management-technology-roadmapping-development and “Management of Technology: Strategy & Portfolio Analysis” https://professional.mit.edu/course-catalog/management-technology-strategy-portfolio-analysis

    Price: 44.99 £ | Shipping*: 0.00 £
  • Quantitative Epidemiology
    Quantitative Epidemiology

    This book is designed to train graduate students across disciplines within the fields of public health and medicine, with the goal of guiding them in the transition to independent researchers.It focuses on theories, principles, techniques, and methods essential for data processing and quantitative analysis to address medical, health, and behavioral challenges.Students will learn to access to existing data and process their own data, quantify the distribution of a medical or health problem to inform decision making; to identify influential factors of a disease/behavioral problem; and to support health promotion and disease prevention.Concepts, principles, methods and skills are demonstrated with SAS programs, figures and tables generated from real, publicly available data.In addition to various methods for introductory analysis, the following are featured, including 4-dimensional measurement of distribution and geographic mapping, multiple linear and logistic regression, Poissonregression, Cox regression, missing data imputing, and statistical power analysis.

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  • Latest Innovation Cnc Liquid Quantitative Filling Machine Small Automatic Fruit Juice Filler
    Latest Innovation Cnc Liquid Quantitative Filling Machine Small Automatic Fruit Juice Filler

    Latest Innovation Cnc Liquid Quantitative Filling Machine Small Automatic Fruit Juice Filler

    Price: 80.19 € | Shipping*: 204.15 €
  • What are quantitative questions?

    Quantitative questions are those that can be answered with numerical data or measurements. These questions often seek to quantify or measure something, such as the frequency, amount, or size of a particular phenomenon. They are commonly used in research and surveys to gather specific data and analyze trends or patterns. Quantitative questions are important for obtaining precise and measurable information that can be used for statistical analysis and drawing conclusions.

  • What are quantitative considerations in chemistry?

    Quantitative considerations in chemistry involve the measurement and calculation of quantities such as mass, volume, concentration, and moles. These measurements are essential for determining the amount of reactants needed, predicting the amount of products formed, and understanding the stoichiometry of chemical reactions. Quantitative analysis also helps in determining the purity of substances, identifying unknown compounds, and evaluating the efficiency of chemical processes. Overall, quantitative considerations play a crucial role in understanding and applying the principles of chemistry in a practical and quantitative manner.

  • What is a quantitative performance limitation?

    A quantitative performance limitation refers to a specific numerical constraint or restriction that impacts the performance of a system, process, or individual. This limitation is typically measured and expressed in numerical terms, such as a maximum capacity, minimum threshold, or specific numerical target. It can affect various aspects of performance, including speed, capacity, accuracy, and efficiency. Identifying and addressing quantitative performance limitations is important for optimizing performance and achieving desired outcomes.

  • Are they qualitative or quantitative data?

    Without knowing the specific data in question, it is difficult to determine whether they are qualitative or quantitative. Qualitative data typically involves descriptions, observations, and non-numeric information, while quantitative data involves numerical measurements and counts. If you provide more details about the data, I can help you determine whether it is qualitative or quantitative.

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  • Quantitative Corporate Finance
    Quantitative Corporate Finance

    This textbook presents a comprehensive treatment of the legal arrangement of the corporation, the instruments and institutions through which capital can be raised, the management of the flow of funds through the individual firm, and the methods of dividing the risks and returns among the various contributors of funds. Now in its third edition, the book covers a wide range of topics in corporate finance, from time series modeling and regression analysis to multi-factor risk models and the Capital Asset Pricing Model.Guerard, Gultekin and Saxena build significantly on the first edition of the text, but retain the core chapters on cornerstone topics such as mergers and acquisitions, regulatory environments, bankruptcy and various other foundational concepts of corporate finance. New to the third edition are examinations of APT portfolio selection and time series modeling and forecasting through SAS, SCA and OxMetrics programming, FactSet fundamental data templates.This is intended to be a graduate-level textbook, and could be used as a primary text in upper level MBA and Financial Engineering courses, as well as a supplementary text for graduate courses in financial data analysis and financial investments.

    Price: 54.99 £ | Shipping*: 0.00 £
  • Quantitative Corporate Finance
    Quantitative Corporate Finance

    This textbook presents a comprehensive treatment of the legal arrangement of the corporation, the instruments and institutions through which capital can be raised, the management of the flow of funds through the individual firm, and the methods of dividing the risks and returns among the various contributors of funds. Now in its third edition, the book covers a wide range of topics in corporate finance, from time series modeling and regression analysis to multi-factor risk models and the Capital Asset Pricing Model.Guerard, Gultekin and Saxena build significantly on the first edition of the text, but retain the core chapters on cornerstone topics such as mergers and acquisitions, regulatory environments, bankruptcy and various other foundational concepts of corporate finance. New to the third edition are examinations of APT portfolio selection and time series modeling and forecasting through SAS, SCA and OxMetrics programming, FactSet fundamental data templates.This is intended to be a graduate-level textbook, and could be used as a primary text in upper level MBA and Financial Engineering courses, as well as a supplementary text for graduate courses in financial data analysis and financial investments.

    Price: 54.99 £ | Shipping*: 0.00 £
  • Beginning Quantitative Research
    Beginning Quantitative Research

    This concise text provides a clear and digestible introduction to completing quantitative research.Taking you step-by-step through the process of completing your quantitative research project, it offers guidance on: · Formulating your research question · Completing literature reviews and meta-analysis · Formulating a research design and specifying your target population and data source · Choosing an appropriate method and analysing your findings Part of The SAGE Quantitative Research Kit, this book will give you the know-how and confidence needed to succeed on your quantitative research journey.

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  • Quantitative Investment Analysis
    Quantitative Investment Analysis

    Whether you are a novice investor or an experienced practitioner, Quantitative Investment Analysis, 4th Edition has something for you. Part of the CFA Institute Investment Series, this authoritative guide is relevant the world over and will facilitate your mastery of quantitative methods and their application in todays investment process.This updated edition provides all the statistical tools and latest information you need to be a confident and knowledgeable investor.This edition expands coverage of Machine Learning algorithms and the role of Big Data in an investment context along with capstone chapters in applying these techniques to factor modeling, risk management and backtesting and simulation in investment strategies. The authors go to great lengths to ensure an even treatment of subject matter, consistency of mathematical notation, and continuity of topic coverage that is critical to the learning process.Well suited for motivated individuals who learn on their own, as well as a general reference, this complete resource delivers clear, example-driven coverage of a wide range of quantitative methods.Inside you'll find: Learning outcome statements (LOS) specifying the objective of each chapterA diverse variety of investment-oriented examples both aligned with the LOS and reflecting the realities of todays investment worldA wealth of practice problems, charts, tables, and graphs to clarify and reinforce the concepts and tools of quantitative investment management You can choose to sharpen your skills by furthering your hands-on experience in the Quantitative Investment Analysis Workbook, 4th Edition (sold separately)—an essential guide containing learning outcomes and summary overview sections, along with challenging problems and solutions.

    Price: 85.00 £ | Shipping*: 0.00 £
  • What does the term quantitative thinking mean?

    Quantitative thinking refers to the ability to understand and analyze numerical data in a logical and systematic way. It involves using mathematical and statistical tools to interpret information, make informed decisions, and solve problems. Quantitative thinking helps individuals to critically evaluate data, identify patterns, and draw meaningful conclusions based on evidence and facts. It is an essential skill in various fields such as science, economics, finance, and research.

  • What is physics as a quantitative science?

    Physics as a quantitative science is the study of the natural world through the use of mathematical and numerical analysis. It seeks to understand and describe the fundamental laws and principles that govern the behavior of matter and energy. By using quantitative methods, such as measurements, calculations, and experiments, physicists are able to make precise predictions and test the validity of their theories. This approach allows for the development of mathematical models that can accurately describe and predict the behavior of physical systems.

  • How can one compare quantitative and qualitative research?

    Quantitative research involves collecting and analyzing numerical data to identify patterns and relationships, while qualitative research focuses on understanding the underlying reasons, motivations, and opinions behind those patterns. One can compare quantitative and qualitative research by considering their methods of data collection and analysis. Quantitative research typically uses structured surveys and statistical analysis, while qualitative research relies on interviews, observations, and thematic analysis. Both approaches have their strengths and limitations, and researchers often use a combination of both methods to gain a comprehensive understanding of a research topic.

  • What is meant by the term quantitative thinking?

    Quantitative thinking refers to the ability to understand and analyze numerical data in a logical and systematic way. It involves using mathematical and statistical techniques to interpret information, make decisions, and solve problems. Quantitative thinking is essential in various fields such as science, economics, and business, as it helps in making informed decisions based on data-driven evidence. It also involves critical thinking skills to evaluate the reliability and validity of the data being analyzed.

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