Products related to Methods:
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Mixed Methods Research : Research Methods
In this book, Mertens provides a brief history of the emergence of mixed methods research and numerous examples to illustrate its application in different disciplines and geographic areas.Mixed methods approaches offer researchers an exciting opportunity to explore new combinations of methods in diverse contexts: the design possibilities are endless and can be incorporated in many different approaches.The book presents case studies to illustrate different philosophical lenses for mixed methods design, including post-positivism, constructivism, pragmatism, transformative, Indigenous, and dialectical pluralism.The book features interviews with researchers about their experiences and practices.They discuss a variety of topics including innovative research design, use of technology and big data, preparation of mixed methods researchers, and how this research can contribute to a more just and equitable future.
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Dynamic Treatment Regimes : Statistical Methods for Precision Medicine
Dynamic Treatment Regimes: Statistical Methods for Precision Medicine provides a comprehensive introduction to statistical methodology for the evaluation and discovery of dynamic treatment regimes from data.Researchers and graduate students in statistics, data science, and related quantitative disciplines with a background in probability and statistical inference and popular statistical modeling techniques will be prepared for further study of this rapidly evolving field.A dynamic treatment regime is a set of sequential decision rules, each corresponding to a key decision point in a disease or disorder process, where each rule takes as input patient information and returns the treatment option he or she should receive.Thus, a treatment regime formalizes how a clinician synthesizes patient information and selects treatments in practice.Treatment regimes are of obvious relevance to precision medicine, which involves tailoring treatment selection to patient characteristics in an evidence-based way.Of critical importance to precision medicine is estimation of an optimal treatment regime, one that, if used to select treatments for the patient population, would lead to the most beneficial outcome on average.Key methods for estimation of an optimal treatment regime from data are motivated and described in detail.A dedicated companion website presents full accounts of application of the methods using a comprehensive R package developed by the authors. The authors’ website www.dtr-book.com includes updates, corrections, new papers, and links to useful websites.
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Dynamic General Equilibrium Modeling : Computational Methods and Applications
Modern business cycle theory and growth theory uses stochastic dynamic general equilibrium models.In order to solve these models, economists need to use many mathematical tools.This book presents various methods in order to compute the dynamics of general equilibrium models.In part I, the representative-agent stochastic growth model is solved with the help of value function iteration, linear and linear quadratic approximation methods, parameterised expectations and projection methods.In order to apply these methods, fundamentals from numerical analysis are reviewed in detail.In particular, the book discusses issues that are often neglected in existing work on computational methods, e.g. how to find a good initial value. In part II, the authors discuss methods in order to solve heterogeneous-agent economies.In such economies, the distribution of the individual state variables is endogenous.This part of the book also serves as an introduction to the modern theory of distribution economics.Applications include the dynamics of the income distribution over the business cycle or the overlapping-generations model. In an accompanying home page to this book, computer codes to all applications can be downloaded.
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Dynamic General Equilibrium Modeling : Computational Methods and Applications
Contemporary macroeconomics is built upon microeconomic principles, with its most recent advance featuring dynamic stochastic general equilibrium models.The textbook by Heer and Maußner acquaints readers with the essential computational techniques required to tackle these models and employ them for quantitative analysis.This third edition maintains the structure of the second, dividing the content into three separate parts dedicated to representative agent models, heterogeneous agent models, and numerical methods.At the same time, every chapter has been revised and two entirely new chapters have been added. The updated content reflects the latest advances in both numerical methods and their applications in macroeconomics, spanning areas like business-cycle analysis, economic growth theory, distributional economics, monetary and fiscal policy.The two new chapters delve into advanced techniques, including higher-order perturbation, weighted residual methods, and solutions to high-dimensional nonlinear problems.In addition, the authors present further insights from macroeconomic theory, complemented by practical applications like the Smolyak algorithm, Gorman aggregation, rare disaster models and dynamic Laffer curves.Lastly, the new edition places special emphasis on practical implementation across various programming languages; accordingly, its accompanying web page offers examples of computer code for languages such as MATLAB®, GAUSS, Fortran, Julia and Python.
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Which methods manifest themselves?
Various methods manifest themselves in different ways depending on the context. Some common methods include problem-solving, decision-making, communication, collaboration, and critical thinking. These methods can be observed through actions such as brainstorming ideas, analyzing data, discussing options, working together towards a common goal, and evaluating different perspectives. Each method plays a crucial role in achieving objectives and solving challenges effectively.
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What are separation methods?
Separation methods are techniques used to separate mixtures into their individual components. These methods rely on the differences in physical or chemical properties of the substances in the mixture. Common separation methods include filtration, distillation, chromatography, and evaporation. By using these methods, scientists and researchers can isolate and purify specific substances for further analysis or use.
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How do methods grow?
Methods grow through continuous learning, experimentation, and adaptation. As researchers and practitioners gain new insights and knowledge, they refine existing methods and develop new ones to address emerging challenges. Collaboration and feedback from the community also play a crucial role in the growth of methods, as different perspectives and experiences contribute to their evolution. Additionally, advancements in technology and tools often drive the development of more efficient and effective methods.
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What are investigation methods?
Investigation methods are the techniques and procedures used to gather information, evidence, and data in order to uncover the truth about a particular situation or event. These methods can include interviews, surveillance, forensic analysis, data collection and analysis, and research. Investigators use these methods to systematically gather and analyze information in order to solve a problem, answer a question, or resolve a dispute. The goal of investigation methods is to gather accurate and reliable information that can be used to make informed decisions or take appropriate action.
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Management in a Dynamic Environment : Concepts, Methods, and Tools
This open-access book provides basic management knowledge in a concise and structured way.Fundamental aspects of management are described, based on which a model of the enterprise is outlined.This allows readers to find their way around easily, reflect, set new approaches in context, and examine them critically.The practical examples, the interpretation questions, and the short case studies at the end of each chapter facilitate the transition from theory to practice.Sustainability, corporate responsibility, and circular business have been extended for this second edition.Current practical examples have been included (e.g., UBS merger, Rolex, Nestlé, Logitech, Netflix, Ferrero), and company examples have been updated or replaced.In addition, the company model has been adapted, media have been added as stakeholders, and the environmental spheres, according to PESTEL, have been included.The chapter on corporate culture has been extended with additional models which rely on concepts of leadership style. This textbook has been recommended and developed for university courses in Germany, Austria and Switzerland.In addition, novice and experienced managers will find new inspiration and practical guidance supported by compelling examples.
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Research Methods
Since its first edition in 1985, Patrick McNeill's Research Methods has become a classic introductory text for students of sociology at A level and in undergraduate courses as well as for a range of specialists in education, business, social care and medicine who need a brief but authoritative account of how sociologists set about conducting research.After a brief overview of the history of sociological research which introduces key concepts, this new edition, co-authored with Steve Chapman, describes the main sociological research methods, and includes sections on theory, science and values as well as:references to research studiesdevelopments in relevant sociological theory developments in research methodologynew material on the presentation of research findings. Including an appendix of questions which students should ask when they are evaluating accounts of research, this lasting text retains the clarity of style of the second edition, and brings the content up-to-date.
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Numerical Methods
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Logical Methods
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Why do Germans prefer creamy and mild over spicy and flavorful?
Germans tend to prefer creamy and mild flavors over spicy and flavorful ones due to their traditional culinary preferences. German cuisine often features dishes that are hearty and comforting, with a focus on simple and wholesome ingredients. Creamy and mild flavors are seen as more comforting and familiar, appealing to a wider range of palates. Additionally, the German palate tends to prioritize balance and subtlety in flavors, rather than bold and intense tastes.
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Why do Germans prefer creamy and mild instead of spicy and flavorful?
Germans tend to prefer creamy and mild flavors over spicy and flavorful ones due to their traditional culinary preferences. Creamy and mild dishes are often associated with comfort and familiarity in German cuisine. Additionally, the German palate tends to favor subtle and balanced flavors rather than bold and intense ones. This preference for creamy and mild dishes may also be influenced by the availability of ingredients and the influence of neighboring European cuisines.
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Why are these methods idempotent?
These methods are idempotent because no matter how many times they are called with the same input, the result will always be the same. This means that repeated calls to these methods will not have any additional side effects or change the system's state beyond the initial call. This property is important for ensuring predictability and reliability in software systems, especially in distributed environments where network failures or retries may occur.
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What are chemical separation methods?
Chemical separation methods are techniques used to separate different components of a mixture based on their chemical properties. These methods rely on differences in properties such as solubility, boiling point, or molecular size to separate the components. Common chemical separation methods include distillation, chromatography, and filtration. These techniques are widely used in various industries such as pharmaceuticals, food processing, and environmental science to isolate and purify different substances.
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