Products related to Analysis:
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Food Analysis
This fifth edition provides information on techniques needed to analyze foods for chemical and physical properties. The book is ideal for undergraduate courses in food analysis and is also an invaluable reference to professionals in the food industry. General information chapters on regulations, labeling, sampling, and data handling provide background information for chapters on specific methods to determine chemical composition and characteristics, physical properties, and objectionable matter and constituents. Methods of analysis covered include information on the basic principles, advantages, limitations, and applications. Sections on spectroscopy and chromatography along with chapters on techniques such as immunoassays, thermal analysis, and microscopy from the perspective of their use in food analysis have been expanded. Instructors who adopt the textbook can contact the editor for access to a website with related teaching materials.
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Data Science Applied to Sustainability Analysis
Data Science Applied to Sustainability Analysis focuses on the methodological considerations associated with applying this tool in analysis techniques such as lifecycle assessment and materials flow analysis.As sustainability analysts need examples of applications of big data techniques that are defensible and practical in sustainability analyses and that yield actionable results that can inform policy development, corporate supply chain management strategy, or non-governmental organization positions, this book helps answer underlying questions.In addition, it addresses the need of data science experts looking for routes to apply their skills and knowledge to domain areas.
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Stochastic Analysis for Finance with Simulations
This book is an introduction to stochastic analysis and quantitative finance; it includes both theoretical and computational methods.Topics covered are stochastic calculus, option pricing, optimal portfolio investment, and interest rate models.Also included are simulations of stochastic phenomena, numerical solutions of the Black–Scholes–Merton equation, Monte Carlo methods, and time series.Basic measure theory is used as a tool to describe probabilistic phenomena.The level of familiarity with computer programming is kept to a minimum.To make the book accessible to a wider audience, some background mathematical facts are included in the first part of the book and also in the appendices.This work attempts to bridge the gap between mathematics and finance by using diagrams, graphs and simulations in addition to rigorous theoretical exposition.Simulations are not only used as the computational method in quantitative finance, but they can also facilitate an intuitive and deeper understanding of theoretical concepts. Stochastic Analysis for Finance with Simulations is designed for readers who want to have a deeper understanding of the delicate theory of quantitative finance by doing computer simulations in addition to theoretical study.It will particularly appeal to advanced undergraduate and graduate students in mathematics and business, but not excluding practitioners in finance industry.
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Analytical Technology in Nutrition Analysis
Due to increasing global food needs as a result of population growth, the use of new food sources has gained interest in the last decade. However, the inclusion of new foods in our diet, as well as the increased interest of the population in consuming foods with better nutritional properties, has increased the need for adequate food analytical methods. This monographic issue presents innovative methods of chemical analysis of foods, as well as the nutritional and chemical characterization of foods whose consumption is expected to increase worldwide in the coming years.
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How to conduct an art image analysis?
To conduct an art image analysis, start by observing the artwork and taking note of its visual elements such as color, line, shape, texture, and composition. Consider the subject matter and symbolism within the artwork, and analyze how these elements contribute to the overall meaning and message of the piece. Research the artist's background and the historical context in which the artwork was created to gain a deeper understanding of its significance. Finally, interpret the artwork by discussing its formal qualities and contextualizing it within the broader art historical and cultural context.
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How can one conduct an art analysis?
To conduct an art analysis, one can start by observing the artwork closely, paying attention to details such as colors, lines, shapes, and textures. It's important to consider the artist's intention and the historical and cultural context in which the artwork was created. Researching the artist's background and the art movement to which the artwork belongs can provide valuable insights. Additionally, analyzing the composition, subject matter, and the emotions or messages conveyed by the artwork can help in understanding its significance.
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What are methods of visual analysis in art?
Methods of visual analysis in art involve closely examining and interpreting the visual elements of a work, such as color, line, shape, texture, and composition. This can include identifying patterns, symbolism, and visual techniques used by the artist. Additionally, art historians may consider the historical context, cultural influences, and artistic movements that may have impacted the creation of the artwork. By analyzing these visual elements and contextual factors, viewers can gain a deeper understanding of the artwork and its significance.
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What are the similarities in an art analysis?
In an art analysis, similarities can include examining the artist's use of color, composition, and techniques to convey meaning or emotion. Additionally, analyzing the subject matter, symbolism, and historical context of the artwork are common elements in art analysis. Furthermore, discussing the overall impact of the artwork on the viewer and its relevance to the broader art world or cultural context are also key components of art analysis.
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Market Risk Analysis, Quantitative Methods in Finance
Written by leading market risk academic, Professor Carol Alexander, Quantitative Methods in Finance forms part one of the Market Risk Analysis four volume set.Starting from the basics, this book helps readers to take the first step towards becoming a properly qualified financial risk manager and asset manager, roles that are currently in huge demand.Accessible to intelligent readers with a moderate understanding of mathematics at high school level or to anyone with a university degree in mathematics, physics or engineering, no prior knowledge of finance is necessary.Instead the emphasis is on understanding ideas rather than on mathematical rigour, meaning that this book offers a fast-track introduction to financial analysis for readers with some quantitative background, highlighting those areas of mathematics that are particularly relevant to solving problems in financial risk management and asset management.Unique to this book is a focus on both continuous and discrete time finance so that Quantitative Methods in Finance is not only about the application of mathematics to finance; it also explains, in very pedagogical terms, how the continuous time and discrete time finance disciplines meet, providing a comprehensive, highly accessible guide which will provide readers with the tools to start applying their knowledge immediately. All together, the Market Risk Analysis four volume set illustrates virtually every concept or formula with a practical, numerical example or a longer, empirical case study.Across all four volumes there are approximately 300 numerical and empirical examples, 400 graphs and figures and 30 case studies many of which are contained in interactive Excel spreadsheets available from the accompanying CD-ROM.Empirical examples and case studies specific to this volume include: Principal component analysis of European equity indices;Calibration of Student t distribution by maximum likelihood;Orthogonal regression and estimation of equity factor models;Simulations of geometric Brownian motion, and of correlated Student t variables;Pricing European and American options with binomial trees, and European options with the Black-Scholes-Merton formula;Cubic spline fitting of yields curves and implied volatilities;Solution of Markowitz problem with no short sales and other constraints;Calculation of risk adjusted performance metrics including generalised Sharpe ratio, omega and kappa indices.
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Counterterrorism and Threat Finance Analysis during Wartime
This edited volume describes various analytic methods used by intelligence analysts supporting military operations in Iraq and Afghanistan as members of the Iraq and Afghan Threat Finance Cells—interagency intelligence teams tasked to disrupt terrorist and insurgent funding.All contributors have deployed to Iraq and/or Afghanistan and detail both the bureaucratic and intellectual challenges in understanding terrorist and insurgent finance networks and then designing operations to attack such networks via conventional military operations, Special Forces kill/capture targeting operations, and non-kinetic operations such as asset freezing or diplomacy.The analytic methods described here leverage both quantitative and qualitative methods, but in a language and style accessible to those without a quantitative background.All methods are demonstrated via actual case studies (approved for release by the U.S. government) drawn from the analysts’ distinct experiences while deployed.This book will be of interest to current or aspiring intelligence analysts, students of security studies, anti-money laundering specialists in the private sector, and more generally to those interested in understanding how intelligence analysis feeds into live operations during wartime at a very tactical level.
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Hands-On Data Analysis in R for Finance
The subject of this textbook is to act as an introduction to data science / data analysis applied to finance, using R and its most recent and freely available extension libraries.The targeted academic level is undergrad students with a major in data science and/or finance and graduate students, and of course practitioners or professionals who need a desk reference. Assumes no prior knowledge of RThe content has been tested in actual university classesMakes the reader proficient in advanced methods such as machine learning, time series analysis, principal component analysis and moreGives comprehensive and detailed explanations on how to use the most recent and free resources, such as financial and statistics libraries or open database on the internet
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Michel Foucault and Education Policy Analysis
The work of Michel Foucault has become a major resource for educational researchers seeking to understand how education makes us what we are.In this book, a group of contributors explore how Foucault’s work is used in a variety of ways to explore the ‘hows’ and ‘whos’ of education policy – its technologies and its subjectivities, its oppressions and its freedoms.The book takes full advantage of the opportunities for creativity that Foucault’s ideas and methods offer to researchers in deploying genealogy, discourse, and subjectivation as analytic devices.The collection as a whole works to makes us aware that we are freer than we think!This book was originally published as a special issue of the Journal of Education Policy.
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Can someone conduct a market analysis in the area of sustainability here?
Yes, someone can conduct a market analysis in the area of sustainability. They can start by researching the current demand for sustainable products and services in the market, analyzing the behavior and preferences of consumers towards sustainable practices, and identifying the key competitors in the sustainability sector. Additionally, they can also assess the regulatory environment and government policies related to sustainability in the area. This analysis can help businesses understand the potential for sustainable products and services in the market and develop strategies to meet the growing demand for sustainability.
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How to conduct an analysis of an art piece?
To conduct an analysis of an art piece, start by observing the artwork closely and noting down your initial thoughts and feelings. Look at the composition, colors, lines, and textures used by the artist. Research the background of the artist and the context in which the artwork was created. Consider the possible meanings or messages the artist may be trying to convey through the piece. Finally, reflect on your own interpretation and discuss the artwork with others to gain different perspectives.
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How do you conduct a visual analysis in art?
To conduct a visual analysis in art, one must first carefully observe the artwork, paying attention to details such as colors, shapes, lines, textures, and composition. It is important to consider the overall mood or feeling the artwork conveys and how the elements work together to create that effect. Additionally, analyzing the use of light and shadow, perspective, and any symbolism or cultural references in the artwork can provide further insight into its meaning and significance. Finally, it is helpful to research the artist's background and artistic style to gain a deeper understanding of the artwork's context.
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How do I create a visual analysis for art?
To create a visual analysis for art, start by carefully observing the artwork and taking note of its key elements such as color, line, shape, texture, and composition. Consider the overall mood or feeling the artwork evokes and the artist's use of space and perspective. Analyze the use of light and shadow, as well as any symbolism or cultural references present in the artwork. Finally, organize your observations into a coherent analysis that explores the formal and conceptual aspects of the artwork, providing insight into the artist's intentions and the impact of the piece on the viewer.
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