Titlebook: Energy Risk Modeling; Applied Modeling Met Nigel Costa Lewis Book 2005 Palgrave Macmillan, a division of Macmillan Publishers Limited 2005

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书目名称Energy Risk Modeling影响因子(影响力)




书目名称Energy Risk Modeling影响因子(影响力)学科排名




书目名称Energy Risk Modeling网络公开度




书目名称Energy Risk Modeling网络公开度学科排名




书目名称Energy Risk Modeling被引频次




书目名称Energy Risk Modeling被引频次学科排名




书目名称Energy Risk Modeling年度引用




书目名称Energy Risk Modeling年度引用学科排名




书目名称Energy Risk Modeling读者反馈




书目名称Energy Risk Modeling读者反馈学科排名

浸软

https://doi.org/10.1007/b117251spersion. The third class known as shape statistics summarizes important elements of the shape of the underlying probability distribution implied by the sample. Our objective in using descriptive statistics is to describe as compactly as possible the key properties of empirical data. This informatio

胆汁

https://doi.org/10.1007/978-1-4471-1669-1arge. For a specific product such as the forward price of Brent Crude, or price return of an Electricity index, which of the dozens of distributions should we use? This chapter outlines the process by which the practicing risk manager can begin to answer this question. It starts by assessing the val

充足

Statical and Geomechanical Modelser hand, the closeness of the two indices is defined in terms of a correlation coefficient, then the manager at least has some rudimentary way of assessing whether or not the relationship exists and its strength.

AFFIX

Introduction to Applied Probability for Energy Risk Managementviduals purchase lottery tickets even though the likelihood of wining a very large pay-out is extremely small. If we say that the probability of snow today is one-half, but tomorrow it is only one quarter, we know that snow is more likely today than tomorrow.

sparse

sparse

Modeling and Fitting Price Distributionsarge. For a specific product such as the forward price of Brent Crude, or price return of an Electricity index, which of the dozens of distributions should we use? This chapter outlines the process by which the practicing risk manager can begin to answer this question. It starts by assessing the val

裁决

Systemic

Nonparametric Density Estimation for Energy Price Returns

衰老

Stiffness Changes and Reanalysis,ct more than one independent variable to influence the dependent variable. It allows us to explore the relationship between several independent and a single dependent variable. We also discuss multivariate regression which arises when we have several dependent variables dependent on the same (or some subset) independent variables.