標(biāo)題: Titlebook: Energy Risk Modeling; Applied Modeling Met Nigel Costa Lewis Book 2005 Palgrave Macmillan, a division of Macmillan Publishers Limited 2005 [打印本頁] 作者: 到來 時間: 2025-3-21 20:03
書目名稱Energy Risk Modeling影響因子(影響力)
書目名稱Energy Risk Modeling影響因子(影響力)學(xué)科排名
書目名稱Energy Risk Modeling網(wǎng)絡(luò)公開度
書目名稱Energy Risk Modeling網(wǎng)絡(luò)公開度學(xué)科排名
書目名稱Energy Risk Modeling被引頻次
書目名稱Energy Risk Modeling被引頻次學(xué)科排名
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書目名稱Energy Risk Modeling年度引用學(xué)科排名
書目名稱Energy Risk Modeling讀者反饋
書目名稱Energy Risk Modeling讀者反饋學(xué)科排名
作者: 浸軟 時間: 2025-3-21 22:44
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作者: 膽汁 時間: 2025-3-22 01:31
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作者: 充足 時間: 2025-3-22 07:16
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.作者: AFFIX 時間: 2025-3-22 11:45
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.作者: sparse 時間: 2025-3-22 15:30 作者: sparse 時間: 2025-3-22 17:17
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作者: 裁決 時間: 2025-3-23 00:31 作者: Systemic 時間: 2025-3-23 04:54
Nonparametric Density Estimation for Energy Price Returns作者: 衰老 時間: 2025-3-23 06:16
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.作者: 手銬 時間: 2025-3-23 10:50 作者: Engaged 時間: 2025-3-23 14:09
Multiple Regression and Predictionct 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.作者: regale 時間: 2025-3-23 21:02
Non-linear and Limited Dependent Regressionship to have considerable non-linearity. In such circumstances, we might attempt to use polynomial regression, logarithmic regression, exponential regression, or a more general non-linear model. This chapter introduces these models. It also discusses the use of limited dependent regression models.作者: barium-study 時間: 2025-3-24 00:21
William Laud, Archbishop of Canterbury,In O. Henry’s ., Mr Pratt is wooing the wealthy Mrs Sampson. Unfortunately for Mr Pratt, he has a rival — a romantic poet. In order to compensate for his romantic disadvantage, the studious Mr Pratt selects quotes from a text on statistical facts in an audacious attempt to dazzle Mrs Sampson into marrying him:作者: 彩色的蠟筆 時間: 2025-3-24 03:30 作者: appall 時間: 2025-3-24 10:24 作者: Intractable 時間: 2025-3-24 11:16 作者: Abnormal 時間: 2025-3-24 15:28 作者: 美麗的寫 時間: 2025-3-24 21:49 作者: ENNUI 時間: 2025-3-24 23:38
Palgrave Macmillan, a division of Macmillan Publishers Limited 2005作者: 沐浴 時間: 2025-3-25 07:23
Energy Risk Modeling978-0-230-52378-4Series ISSN 2946-2010 Series E-ISSN 2946-2029 作者: 首創(chuàng)精神 時間: 2025-3-25 07:46 作者: exquisite 時間: 2025-3-25 15:01
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作者: CLAY 時間: 2025-3-25 19:31
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作者: 阻止 時間: 2025-3-25 20:13
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作者: 精確 時間: 2025-3-26 03:18
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 作者: 委派 時間: 2025-3-26 05:42
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作者: 樣式 時間: 2025-3-26 10:15
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作者: profligate 時間: 2025-3-26 15:06
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作者: Deceit 時間: 2025-3-26 19:38 作者: Nonporous 時間: 2025-3-26 21:11 作者: heirloom 時間: 2025-3-27 03:40 作者: 生命層 時間: 2025-3-27 08:03 作者: 地殼 時間: 2025-3-27 09:46
https://doi.org/10.1007/978-94-007-6113-1tions of the model. If the assumed underlying statistical assumptions are invalid the inference based on it will be unreliable. The primary objective of this chapter is to outline the key assumptions of the linear regression model and provide some elementary techniques for validating or refuting these assumptions given a specific data set.作者: cochlea 時間: 2025-3-27 14:18 作者: 慷慨不好 時間: 2025-3-27 20:13
A Primer in Applied Regression Analysisrgy) examples before we move onto discuss more energy-specific applications of regression in the remaining chapters of this book. The emphasis of this chapter is therefore on you the reader becoming comfortable with the ideas surrounding regression and replicating for yourself the examples given in .作者: 殺菌劑 時間: 2025-3-27 22:09 作者: LATE 時間: 2025-3-28 04:36 作者: Efflorescent 時間: 2025-3-28 09:12 作者: Ganglion 時間: 2025-3-28 11:42
Static charging by spray electrification, population values or it may indicate that the conjecture is untenable. Hypothesis testing is a formal mechanism by which we can make and test inferential statements about the characteristics of a population. It uses the information contained in a sample to assess the validity of a conjecture about a specific population parameter.作者: 淺灘 時間: 2025-3-28 17:06
Emery Balint M.C.E.(Melb.), M.I.C.E.eneral these models fall into three categories, Exponentially Weighted Moving Average models, Generalized Autoregressive Conditional Hetroscedasticity models, and Stochastic Volatility Differential Equations. In this chapter we introduce the first two of these modeling approaches.作者: 教義 時間: 2025-3-28 21:07
Inferential Statistical Methods for Energy Risk Managers population values or it may indicate that the conjecture is untenable. Hypothesis testing is a formal mechanism by which we can make and test inferential statements about the characteristics of a population. It uses the information contained in a sample to assess the validity of a conjecture about a specific population parameter.作者: dandruff 時間: 2025-3-29 00:11 作者: 陳列 時間: 2025-3-29 04:11 作者: dowagers-hump 時間: 2025-3-29 10:06
Descriptive Statistics of Energy Prices and Returnsstics 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作者: lanugo 時間: 2025-3-29 15:28
Inferential Statistical Methods for Energy Risk Managerscollected 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作者: 貴族 時間: 2025-3-29 18:53 作者: 滔滔不絕地講 時間: 2025-3-29 20:36
Correlation Analysisor 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 作者: 聰明 時間: 2025-3-30 01:21 作者: multiply 時間: 2025-3-30 04:48
Multiple Regression and Predictionct 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
