Products related to Quantitative:
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Fashion and Environmental Sustainability : Entrepreneurship, Innovation and Technology
The wide range of topics that the book covers are organised into sections reflecting a cradle to grave view of how entrepreneurial, innovative, and tech-savvy approaches can advance environmental sustainability in the fashion sector.These sections include: sustainable materials; innovation in design, range planning and product development; sustainable innovations in fashion supply chains; sustainable innovations in fashion retail and marketing; sustainable alternatives for end-of-life and circular economy initiatives; and more sustainable alternative fashion business models.
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Innovation in Music: Technology and Creativity
Innovation in Music: Technology and Creativity is a groundbreaking collection bringing together contributions from instructors, researchers, and professionals.Split into two sections, covering composition and performance, and technology and innovation, this volume offers truly international perspectives on ever-evolving practices. Including chapters on audience interaction, dynamic music methods, AI, and live electronic performances, this is recommended reading for professionals, students, and researchers looking for global insights into the fields of music production, music business, and music technology.
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Quantitative Environmental Risk Analysis for Human Health
QUANTITATIVE ENVIRONMENTAL RISK ANALYSIS FOR HUMAN HEALTH An updated edition of the foundational guide to environmental risk analysis Environmental risk analysis is a systematic process essential for the evaluation, management, and communication of the human health risk posed by the release of contaminants to the environment.Performed correctly, risk analysis is an essential tool in the protection of the public from the health hazards posed by chemical and radioactive contaminants.Cultivating the quantitative skills required to perform risk analysis competently is a critical need.Quantitative Environmental Risk Analysis for Human Health meets this need with a thorough, comprehensive coverage of the fundamental knowledge necessary to assess environmental impacts on human health.It introduces readers to a robust methodology for analyzing environmental risk, as well as to the fundamental principles of uncertainty analysis and the pertinent environmental regulations.Now updated to reflect the latest research and new cutting-edge methodologies, this is an essential contribution to the practice of environmental risk analysis.Readers of the second edition of Quantitative Environmental Risk Analysis for Human Health will also find: Detailed treatment of source and release characterization, contaminant migration, exposure assessment, and moreNew coverage of computer-based analytical methodsA new chapter of case studies providing actual, real-world examples of environmental risk assessments Quantitative Environmental Risk Analysis for Human Health is must-have for graduate and advanced undergraduate students in civil engineering, environmental engineering, and environmental science, as well as for risk analysis practitioners in industry, environmental consultants, and regulators.
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Researching Health : Qualitative, Quantitative and Mixed Methods
Saks and Allsop's Researching Health offers a comprehensive introduction to research methods for health care students and practitioners.The new third edition includes important theoretical updates, and further international content, with contributors from the UK, Italy, Japan, New Zealand, Portugal, Canada, and Spain, covering a number of specialisms and providing perspectives on core topics. There are 6 NEW chapters on:Principles of Health Research Methods of Sampling in Qualitative Health Research Qualitative Data Analysis and Health Research Researching Health Care Management Using Secondary Data Online Research in Health Disseminating and Evaluating Health Research The book is supported by case studies, end-of-chapter exercises, annotated further reading, and access to online resources for both students and lecturers, consisting of SAGE journal articles, web links, PowerPoint slides, and teaching notes for each chapter.
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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.
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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.
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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.
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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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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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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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Securing the Future through Sustainability, Health, Education, and Technology
Organized on 13th–15th December 2023, The 14th Annual International Research Conference of the Symbiosis Institute of Management Studies, (SIMSARC 2023) is based on the theme “Securing the Future through Sustainability, Health, Education and Technology”.It focuses on the need for a holistic approach to address the present challenges of the world while envisioning a resilient and prosperous tomorrow.It discusses the interconnections between Sustainability, Health, Education and Technology in fostering long-term well-being and addresses challenges and future opportunities.
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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
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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.
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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.
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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.
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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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