沐浴
发表于 2025-3-25 07:23:23
Energy Risk Modeling978-0-230-52378-4Series ISSN 2946-2010 Series E-ISSN 2946-2029
首创精神
发表于 2025-3-25 07:46:21
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exquisite
发表于 2025-3-25 15:01:29
https://doi.org/10.1007/b117251stics is to reduce the original sample into a handful of more understandable metrics without distorting or losing too much of the valuable information contained in the individual observations. We begin by collecting . observations {.., ..,…,..} on the price return random variable .. These measuremen
CLAY
发表于 2025-3-25 19:31:30
Static charging by spray electrification,collected from a sample. Such generalizations are about an unobserved population. A population consists of all values (past and future) of the random variable of interest. In most circumstances the exact value of a population parameter such as the mean or variance will be unknown, and we will have t
阻止
发表于 2025-3-25 20:13:06
https://doi.org/10.1007/978-1-4471-1669-1wledge about the underlying probability distributions generating returns is used both in pricing models and risk management. The selected probability distribution(s) can have a significant impact on the calculated Value at Risk measure of a company’s exposure from trading floor transactions and in t
精确
发表于 2025-3-26 03:18:15
Statical and Geomechanical Modelsor characteristic of a sample. Another important element of applied statistical modeling of energy risks concerns the relationship between two or more price or other variables. Generally, a risk manager will be interested in whether above (below) average values of one variable tend to be associated
委派
发表于 2025-3-26 05:42:17
Classification of Structural Elements,finance. Given its importance and frequency of use, this chapter provides a hands-on introduction to applied regression modeling. The emphasis is on using R to analyze some simple data sets contained in the R package. The objective is to give you a feel for regression techniques using simple (nonene
样式
发表于 2025-3-26 10:15:06
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 som
profligate
发表于 2025-3-26 15:06:31
https://doi.org/10.1007/978-94-007-6113-1How can we assess the validity of the pre-specified regression model, which will provide the basis of statistical inference and practical decisions? It turns out that statistical inference concerning the linear regression model depends crucially on the “validity” of the underlying statistical assump
Deceit
发表于 2025-3-26 19:38:41
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