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標(biāo)題: Titlebook: Applied Data Analysis and Modeling for Energy Engineers and Scientists; T. Agami Reddy Book 20111st edition Springer Science+Business Medi [打印本頁]

作者: 懇求    時間: 2025-3-21 17:27
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書目名稱Applied Data Analysis and Modeling for Energy Engineers and Scientists被引頻次




書目名稱Applied Data Analysis and Modeling for Energy Engineers and Scientists被引頻次學(xué)科排名




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作者: blister    時間: 2025-3-21 21:47
Applied Data Analysis and Modeling for Energy Engineers and Scientists978-1-4419-9613-8
作者: 憂傷    時間: 2025-3-22 03:38
Sexual Fear and the Regulation of Society,ted. Selected experimental design methods are discussed such as randomized block, Latin Squares and 2. factorial designs. The parallel between model building in a DOE framework and linear multiple regression is illustrated. Finally, this chapter addresses response surface methods (RSM) which allow a
作者: patriot    時間: 2025-3-22 04:44
Introduction: Sex before Discourse,t topic of dynamic optimization is covered which applies to optimizing a trajectory, i.e., to discrete situations when a series of decisions have to be made to define or operate a system composed of distinct stages, such that a decision is made at each stage with the decisions at later stages not af
作者: BRIEF    時間: 2025-3-22 09:53
Order as social closure I: the nobility(s). In general, the number of clusters is not predefined and has to be gleaned from the data set. This and the fact that one does not have a training data set to build a model make clustering a much more difficult problem than classification. Two types of clustering techniques, namely partitional a
作者: 控制    時間: 2025-3-22 16:04
Social ideology: closure legitimated?rd class of models called ARIMA models allows separating and modeling the systematic component of the model residuals from the purely random white noise element, thereby enhancing the prediction accuracy of the overall model. ARMAX models, which are extensions of the univariate ARIMA models to multi
作者: 你不公正    時間: 2025-3-22 18:27
Order as social closure II: the clergyariables are large. Subsequently, another powerful and widely used estimation method, namely maximum likelihood estimation (MLE) is described, and its application to parameter estimation of probability functions and logistic models is presented. Also covered is parameter estimation of models non-lin
作者: 無彈性    時間: 2025-3-22 22:09

作者: Carcinogen    時間: 2025-3-23 05:21
Niall Gildea,Helena Goodwyn,Helen Tyson are clouded by uncertainty, and/or by having to meet multiple objectives; this chapter also presents basic concepts of multi-attribute modeling. The role of risk analysis and its various aspects are covered along with applications from various fields. General principles are presented in somewhat id
作者: surmount    時間: 2025-3-23 05:49
The Dilemma of Cognitive Literary Studiest topic of dynamic optimization is covered which applies to optimizing a trajectory, i.e., to discrete situations when a series of decisions have to be made to define or operate a system composed of distinct stages, such that a decision is made at each stage with the decisions at later stages not af
作者: 顯而易見    時間: 2025-3-23 10:38
Design of Experiments,ted. Selected experimental design methods are discussed such as randomized block, Latin Squares and 2. factorial designs. The parallel between model building in a DOE framework and linear multiple regression is illustrated. Finally, this chapter addresses response surface methods (RSM) which allow a
作者: 毗鄰    時間: 2025-3-23 16:38

作者: tenuous    時間: 2025-3-23 19:23
Classification and Clustering Methods,(s). In general, the number of clusters is not predefined and has to be gleaned from the data set. This and the fact that one does not have a training data set to build a model make clustering a much more difficult problem than classification. Two types of clustering techniques, namely partitional a
作者: 有常識    時間: 2025-3-23 23:14

作者: VEST    時間: 2025-3-24 03:41
Parameter Estimation Methods,ariables are large. Subsequently, another powerful and widely used estimation method, namely maximum likelihood estimation (MLE) is described, and its application to parameter estimation of probability functions and logistic models is presented. Also covered is parameter estimation of models non-lin
作者: nostrum    時間: 2025-3-24 08:24

作者: Impugn    時間: 2025-3-24 14:23
Risk Analysis and Decision-Making, are clouded by uncertainty, and/or by having to meet multiple objectives; this chapter also presents basic concepts of multi-attribute modeling. The role of risk analysis and its various aspects are covered along with applications from various fields. General principles are presented in somewhat id
作者: Gesture    時間: 2025-3-24 16:44

作者: Control-Group    時間: 2025-3-24 21:43
ed case studies from the author’s own research, and well-conceived problems in order to enhance comprehension levels among readers and their understanding of the “processes”along with the tools.978-1-4899-8636-8978-1-4419-9613-8
作者: Nefarious    時間: 2025-3-25 02:08
The Social Study of Family Farmingbuildings. Next, it reviews fundamental notions of mathematical models illustrates them in terms of sensor response, and differentiates between forward or simulation models and inverse models. Subsequently, various issues pertinent to data analysis and associated uncertainty are described, and the d
作者: 針葉類的樹    時間: 2025-3-25 04:52

作者: 無禮回復(fù)    時間: 2025-3-25 08:21
The Social Study of Family Farmingple ways of validating and assessing the accuracy of the data collected are addressed. Subsequently, salient statistical measures to describe univariate and multivariate data are presented along with how to use them during basic exploratory data and graphical analyses. The two types of measurement u
作者: hankering    時間: 2025-3-25 11:45
The Social Study of Family Farmingon, hypothesis testing and significance testing. These methods are used to infer point and interval estimates about a population from sample data using knowledge of probability and probability distributions. Classical univariate and multivariate techniques as well as non-parametric and Bayesian meth
作者: 沙發(fā)    時間: 2025-3-25 19:16
The Model Village at Bromborough Poolviewed along with equations for the uncertainty in the model estimates as well as in the model predictions. Several goodness-of-fit indices to evaluate the model fit are also discussed, and the assumptions inherent in OLS are highlighted. Next, multiple linear models are treated, and several notions
作者: 終點    時間: 2025-3-25 23:58

作者: botany    時間: 2025-3-26 01:22

作者: Plaque    時間: 2025-3-26 06:53

作者: Minuet    時間: 2025-3-26 08:52

作者: Atrium    時間: 2025-3-26 15:51
Order as social closure II: the clergyn earlier chapters. First, the fundamental notion of estimability of a model is introduced which includes both structural and numerical identifiability concepts. Recall that in Chap.?5 issues addressed were relevant to parameter estimation of linear models and to variable selection using step-wise r
作者: DEFT    時間: 2025-3-26 19:49
Status-group as social closure: the Jewse uses measured or observed system behavior to aid in the model building. The three types of inverse problems were classified as: (i) calibration of white-box models (which can be either relatively simple or complex-coupled simulation models) which requires that one selectively manipulate certain pa
作者: 赤字    時間: 2025-3-27 00:45

作者: Derogate    時間: 2025-3-27 05:08
The Dilemma of Cognitive Literary Studiess where the impact of uncertainties is relatively minor, and can be viewed as a subset of decision-making problems which are treated in Chap.?12. After defining the various terms used in the optimization literature, calculus based methods covering both analytical as well as numerical techniques are
作者: 移植    時間: 2025-3-27 06:38

作者: Slit-Lamp    時間: 2025-3-27 10:57

作者: Harpoon    時間: 2025-3-27 16:22
T. Agami ReddyOffers descriptions of numerous data analysis techniques, including but not limited to exploratory data analysis, estimation and model building, inferential methods and data compaction.Utilizes an eff
作者: Override    時間: 2025-3-27 20:13

作者: 單調(diào)性    時間: 2025-3-28 00:45

作者: 接合    時間: 2025-3-28 06:05
Probability Concepts and Probability Distributions,uity in outcome is inherent in the nature of the process itself. Both the primary views of probability, namely the frequentist (or classical) and the Bayesian, are covered, and some of the important probability distributions are presented. Finally, an effort is made to explain how probability is dif
作者: Amorous    時間: 2025-3-28 07:24

作者: SAGE    時間: 2025-3-28 11:23
Making Statistical Inferences from Samples,on, hypothesis testing and significance testing. These methods are used to infer point and interval estimates about a population from sample data using knowledge of probability and probability distributions. Classical univariate and multivariate techniques as well as non-parametric and Bayesian meth
作者: ELUC    時間: 2025-3-28 18:05

作者: 啤酒    時間: 2025-3-28 21:21

作者: pantomime    時間: 2025-3-29 00:48

作者: 不能仁慈    時間: 2025-3-29 05:23

作者: Defraud    時間: 2025-3-29 08:16

作者: Nutrient    時間: 2025-3-29 13:43

作者: 無意    時間: 2025-3-29 18:45

作者: 隱士    時間: 2025-3-29 19:54

作者: Conscientious    時間: 2025-3-30 01:41
ERRATUM,s where the impact of uncertainties is relatively minor, and can be viewed as a subset of decision-making problems which are treated in Chap.?12. After defining the various terms used in the optimization literature, calculus based methods covering both analytical as well as numerical techniques are
作者: liposuction    時間: 2025-3-30 07:52
The Social Study of Family Farmingented. An attempt is made to identify the different types of problems one faces with forward modeling as distinct from inverse modeling and analysis. Notions germane to the disciplines of decision analysis, data mining and intelligent data analysis are also covered. Finally, the various topics covered in each chapter of this book are described.
作者: agonist    時間: 2025-3-30 09:05

作者: Conduit    時間: 2025-3-30 12:24
Mathematical Models and Data Analysis,ented. An attempt is made to identify the different types of problems one faces with forward modeling as distinct from inverse modeling and analysis. Notions germane to the disciplines of decision analysis, data mining and intelligent data analysis are also covered. Finally, the various topics covered in each chapter of this book are described.
作者: 偽善    時間: 2025-3-30 18:20

作者: Adenocarcinoma    時間: 2025-3-31 00:27





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