Xem 1-20 trên 9075 kết quả Methods
  • This guide explains the different methods of getting paid and the different levels of risks involved. You should note that none of the methods outlined below will completely eliminate the payment risks associated with international trade, so you should consider your preferred payment option with care and hedge the risks along with appropriate credit insurance and credit checks on your customers.

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  • The book is divided into four main parts: key issues in researching language learning/teaching, data collection, data analysis and writing up research. Both qualitative and quantitative methodologies are discussed, alongside popular mixed-methods approaches, such as triangulated studies, thus covering many of the methods commonly employed in the field.

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  • Computing for Numerical Methods Using Visual C++ has been written to promote the use of Visual C++ in scientific computing. C++ is a beautiful language that has contributed to shaping the modern world today. The language has contributed to many device drivers in electronic equipment, as a tool in the development of many computer software programs, and as a tool for both research and teaching. Therefore, its involvement in providing the solution for numerical methods is very much expected.

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  • For more than two decades, futures traders have turned to the classic Trading Systems and Methods for complete information about the latest, most successful indicators, programs, algorithms, and systems. Perry Kaufman, a leading futures expert highly respected for his years of experience in research and trading, has thoroughly rewritten and updated his bestselling guide, which remains the most comprehensive and instructional book on trading systems today.

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  • Research problems and questions and how they relate to debates in Research Methods Recommended additional reading: Research Methods for Business Students, (Saunders, M, Lewis, P et al. 2007) Chapters 1 and 2 1.1 Chapter Overview 1.1.1 Learning Outcomes By the end of this chapter successful students will be able to: 1. Understand the learning and teaching strategy for this chapter 2. Distinguish business and management research from other kinds of research 3. Understand the issues relating to identifying and reformulating problems for research 4. Identify the key debates in research methods...

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  • While the stochastic volatility (SV) generalization has been shown to improve the explanatory power over the Black-Scholes model, empirical implications of SV models on option pricing have not yet been adequately tested. The purpose of this paper is to first estimate a multivariate SV model using the efficient method of moments (EMM) technique from observations of underlying state variables and then investigate the respective effect of stochastic interest rates, systematic volatility and idiosyncratic volatility on option prices....

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  • Trading the stock futures markets is more complex than most traders realize.Tranding is a vast pespecitve made up of chart interpretation, entry methods, protective stops, money management, diversification, and psychology. Each of these subjects requires the sevelopment of a perspective.

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  • Clearly and elegantly presented, Mathematical Methods in Science and Engineering provides a coherent treatment of mathematical methods, bringing advanced mathematical tools to a multidisciplinary audience. The growing interest in interdisciplinary studies has brought scientists from many disciplines such as physics, mathematics, chemistry, biology, economics, and finance together, which has increased the demand for courses in upper-level mathematical techniques.

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  • Computational fluid dynamics (CFD) is concerned with the efficient numerical solution of the partial differential equations that describe fluid dynamics. CFD techniques are commonly used in the many areas of engineering where fluid behavior is an important factor. Traditional fields of application include aerospace and automotive design, and more recently, bioengineering and consumer and medical electronics.

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  • The accurate measurement of additives in food is essential in meeting both regulatory requirements and the need of consumers for accurate information about the products they eat. While there are established methods of analysis for many food additives, there are others that still require complete methods. Analytical Methods for Food Additives addresses the lack of established methods of analysis for 26 major additives. In each case, the authors review current research to establish the best available methods and how they should be used.

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  • Central to this book are two ideas. The first is that Fluid Mechanics is relevant to a wide variety of problems that are priorities in the early 21st century, three of which are health, the environment, and energy. The second idea is that researchers in this field are applying novel methods to address these problems. Even on its most basic level, Fluid Mechanics is challenging.

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  • Monte Carlo methods are ubiquitous in applications in the finance and insurance industry. They are often the only accessible tool for financial engineers and actuaries when it comes to complicated price or risk computations, in particular for those that are based on many underlyings. However, as they tend to be slow, it is very important to have a big tool box for speeding them up or – equivalently – for increasing their accuracy. Further, recent years have seen a lot of developments in Monte Carlo methods with a high potential for success in applications.

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  • Simulation and the Monte Carlo Method, Second Edition reflects the latest developments in the field and presents a fully updated and comprehensive account of the major topics that have emerged in Monte Carlo simulation since the publication of the classic First Edition over twenty-five years ago.

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  • The purpose of this paper is to help customer survey process stakeholders understand some of the inherent tradeoffs of alternative survey methods. The scope addresses factors including size of the customer population, strengths and weaknesses of alternate...

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  • This book contains some of the contributions, divided into five main sections, that have been carefully selected and peer-reviewed, which were presented at the International Symposium MME06 Mathematical Methods in Engineering, held in Cankaya University, Ankara, April 27—29, 2006. The Symposium provided a setting for discussing recent developments in Fractional Mathematics, Neutrices and Generalized Functions, Boundary Value Problems, Applications of Wavelets, Dynamical Systems and Control Theory....

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  • The procedures described in these standards are intended for the examination of waters of a wide range of quality, including water suitable for domestic or industrial supplies, surface water, ground water, cooling or circulating water, boiler water, boiler feed water, treated and untreated municipal or industrial wastewater, and saline water. The unity of the fields of water supply, receiving water quality, and wastewater treatment and disposal is recognized by presenting methods of analysis for each constituent in a single section for all types of waters.

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  • This is an intermediate level post-calculus text on mathematical and statistical methods, directed toward the needs of chemists. It has developed out of a course that I teach at the University of Massachusetts Dartmouth for thirdyear undergraduate chemistry majors and, with additional assignments, for chemistry graduate students.

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  • This book presents and develops major numerical methods currently used for solving problems arising in quantitative finance. Our presentation splits into two parts. Part I is methodological, and offers a comprehensive toolkit on numerical methods and algorithms. This includes Monte Carlo simulation, numerical schemes for partial differential equations, stochastic optimization in discrete time, copula functions, transform-based methods and quadrature techniques. Part II is practical, and features a number of self-contained cases.

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  • Tham khảo sách 'numerical methods for ordinary differential equations butcher tableau', khoa học tự nhiên, toán học phục vụ nhu cầu học tập, nghiên cứu và làm việc hiệu quả

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  • In the preceding chapters, we introduced several different estimation principles and algorithms for independent component analysis (ICA). In this chapter, we provide an overview of these methods. First, we show that all these estimation principles are intimately connected, and the main choices are between cumulant-based vs. negentropy/likelihood-based estimation methods, and between one-unit vs. multiunit methods. In other words, one must choose the nonlinearity and the decorrelation method.

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