Products related to Quantitative:
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Raman Scattering on Emerging Semiconductors and Oxides
Raman Scattering on Emerging Semiconductors and Oxides presents Raman scattering studies.It describes the key fundamental elements in applying Raman spectroscopies to various semiconductors and oxides without complicated and deep Raman theories. Across nine chapters, it covers:• SiC and IV-IV semiconductors,• III-GaN and nitride semiconductors,• III-V and II-VI semiconductors,• ZnO-based and GaO-based semiconducting oxides,• Graphene, ferroelectric oxides, and other emerging materials,• Wide-bandgap semiconductors of SiC, GaN, and ZnO, and• Ultra-wide gap semiconductors of AlN, Ga2O3, and graphene. Key achievements from the author and collaborators in the above fields are referred to and cited with typical Raman spectral graphs and analyses.Written for engineers, scientists, and academics, this comprehensive book will be fundamental for newcomers in Raman spectroscopy. Zhe Chuan Feng has had an impressive career spanning many years of important work in engineering and tech, including as a professor at the Graduate Institute of Photonics & Optoelectronics and Department of Electrical Engineering, National Taiwan University, Taipei; establishing the Science Exploring Lab; joining Kennesaw State University as an adjunct professor, part-time; and at the Department of Electrical and Computer Engineering, Southern Polytechnic College of Engineering and Engineering Technology.Currently, he is focusing on materials research for LED, III-nitrides, SiC, ZnO, other semiconductors/oxides, and nanostructures and has devoted time to materials research and growth of III-V and II-VI compounds, LED, III nitrides, SiC, ZnO, GaO, and other semiconductors/oxides. Professor Feng has also edited and published multiple review books in his field, alongside authoring scientific journal papers and conference/proceeding papers.He has organized symposiums and been an invited speaker at different international conferences and universities.He has also served as a guest editor for special journal issues.
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Applied Raman Spectroscopy : Concepts, Instrumentation, Chemometrics, and Life Science Applications
Applied Raman Spectroscopy: Concepts, Instrumentation, Chemometrics, and Life Science Applications synthesizes recent developments in the field, providing an updated overview.The book focuses on the modern concepts of Raman spectroscopy techniques, recent technological innovations, data analysis using chemometric methods, along with the latest examples of life science applications relevant in academia and industries.It will be beneficial to researchers from various branches of science and technology, and it will point them to modern techniques coupled with data analysis methods.In addition, it will help instruct new readers on Raman spectroscopy and hyphenated Raman spectroscopic techniques. The book is primarily written for analytical and physical chemistry students and researchers at a more advanced level who require a broad introductory overview of the applications of Raman spectroscopy, as well as those working in applied industry and clinical laboratories.Students, researchers, and industry workers in related fields, including X-ray and materials science, agriculture, botany, molecular biology and biotechnology, mineralogy, and environmental science will also find it very useful.
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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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Evolutionary Quantitative Genetics
Evolutionary quantitative genetics (EQG) provides a formal theoretical foundation for quantitatively linking natural selection and genetic variation to the rate and expanse of adaptive evolution.It has become the dominant conceptual framework for interpreting the evolution of quantitative traits in terms of elementary forces (mutation, inheritance, selection, and drift).Despite this success, the relevance of EQG to many biological scenarios remains relatively unappreciated, with numerous fields yet to fully embrace its approach.Part of the reason for this lag is that conceptual advances in EQG have not yet been fully synthesized and made accessible to a wider academic audience.A comprehensive, accessible overview is therefore now timely, and Evolutionary Quantitative Genetics provides this much-needed synthesis. The central argument of the book is that an adaptive landscape concept can be used to understand both evolutionary process within lineages and the pattern of adaptive radiations.In particular, it provides a convincing argument that models with a moving adaptive peak carry us further than any other conceptual approach yet devised.Although additive theory holds center stage, the book mentions and references departures from additivity including non-Gaussian distributions of allelic effects, dominance, epistasis, maternal effects and phenotypic plasticity.This accessible, advanced textbook is aimed principally at students (from senior undergraduate to postgraduate) as well as practising scientists in the fields of evolutionary biology, ecology, physiology, functional morphology, developmental biology, comparative biology, paleontology, and beyond who are interested in how adaptive radiations are produced by evolutionary and ecological processes.
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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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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.
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Quantitative Chemical Analysis
The precise and reliable approach you depend on with the current updates you needThe 10th edition of Quantitative Chemical Analysis continues to set the standard for learning analytical chemistry with distinguished writing, the most up-to-date content, and now the acclaimed Achieve program, supporting exceptional problem-solving practice.New author Charles Lucy joins Dan Harris, infusing additional subject expertise and classroom experience into the 10th edition. Quantitative Chemical Analysis is also now supported by Achieve, Macmillan's new online learning platform.Achieve is the culmination of years of development work put toward creating the most powerful online learning tool for chemistry students. Achieve includes an interactive e-Book as well as our renowned assessments.Students will be able to focus their study with adaptive quizzing and gain a better understanding of what is happening at the atomic or molecular level through instrumentation technique videos.
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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 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.
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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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