標題: Titlebook: Applied Data Analysis and Modeling for Energy Engineers and Scientists; T. Agami Reddy,Gregor P. Henze Textbook 2023Latest edition The Edi [打印本頁] 作者: hydroxyapatite 時間: 2025-3-21 19:13
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書目名稱Applied Data Analysis and Modeling for Energy Engineers and Scientists讀者反饋學科排名
作者: EWER 時間: 2025-3-21 20:19
e also treating machine learning and data mining methods.Inc.Now in a thoroughly revised and expanded second edition, this classroom-tested text demonstrates and illustrates how to apply concepts and methods learned in disparate courses such as mathematical modeling, probability, statistics, experim作者: 斗志 時間: 2025-3-22 03:25 作者: REIGN 時間: 2025-3-22 06:26 作者: 清真寺 時間: 2025-3-22 09:23 作者: 招人嫉妒 時間: 2025-3-22 15:33
https://doi.org/10.1007/978-3-031-22556-7erent in the nature of the process itself. Probability theory allows idealized behavior of different types of systems to be modeled and provides the mathematical underpinning of statistical inference. In that respect, it can be viewed as?pertaining to the forward modeling domain. Both the primary vi作者: 音樂學者 時間: 2025-3-22 18:29
https://doi.org/10.1007/978-3-031-22556-7curacy of the raw data collected are addressed. These involve limit and balance checks, outlier rejection, and ways to handle missing data. Subsequently, salient statistical measures to describe and summarize datasets are presented. The importance of exploratory data analysis is highlighted along wi作者: 精密 時間: 2025-3-23 00:37
Peter Medway,John Hardcastle,David Crookedge of probability and probability distributions. More specifically, such statistical inferences involve point estimation, confidence interval estimation, hypothesis testing of means and variances from two or more samples, analysis of variance methods, goodness of fit tests, and correlation analysi作者: 精美食品 時間: 2025-3-23 01:26
,The Three Schools—What We Have Learned,essor variables. The process involves both identifying the model functional form and estimating the parameters of the model. Models linear in their parameters, the focus of this chapter, are widely used, with?the . (OLS) method of estimating model parameters being the?most frequent. The . with one r作者: 共棲 時間: 2025-3-23 07:50
English Theatre and Social Abjectionnder different changes/variations during the manufacturing process (called “treatments”). . is the term used to denote the series of planned experiments to be undertaken to compare the effect of one or more treatments or interventions on a response variable. The analysis of such data once collected 作者: AVID 時間: 2025-3-23 10:15
English Theatre and Social Abjectionns and?illustrative examples. These techniques apply to situations where the impact of uncertainties is relatively minor and can be viewed as a subset of the broader domain of?decision-making (treated in Chap. .). This chapter starts by defining the various terms used in the optimization literature,作者: 無意 時間: 2025-3-23 17:50 作者: coagulation 時間: 2025-3-23 20:42 作者: 謙虛的人 時間: 2025-3-23 23:16
https://doi.org/10.1007/978-981-15-4518-4as “pertaining to the case when the system under study already exists, and one uses measured or observed system performance data to identify a model structure of the system and estimate model parameters.” The focus here?is on mechanistic or gray-box models (as against black-box) whose functional for作者: NAV 時間: 2025-3-24 03:31 作者: mutineer 時間: 2025-3-24 07:55
Travel Writing in the Nineteenth Century,n overview of quantitative decision-making approaches which include single and multi-criteria methods as well as single-discipline and multi-discipline methods. These approaches are presented in terms of problems subject to different sources of uncertainty (structural deficiency, model parameter unc作者: sparse 時間: 2025-3-24 12:33
https://doi.org/10.1007/978-3-031-34869-3applied data analysis; decision analysis; mathematical models; modeling methods; thermal systems; Deep le作者: Aura231 時間: 2025-3-24 15:06 作者: 脆弱么 時間: 2025-3-24 20:43
Textbook 2023Latest editionc data modeling methods complement data analytic algorithmic approaches such as machine learning and data mining is also discussed. The important societal issue related to the sustainability of energy systems is presented, and a formal structure is proposed meant to classify the various assessment m作者: 群居男女 時間: 2025-3-25 02:33
Applied Data Analysis and Modeling for Energy Engineers and Scientists作者: Adulterate 時間: 2025-3-25 05:13
Applied Data Analysis and Modeling for Energy Engineers and Scientists978-3-031-34869-3作者: 進步 時間: 2025-3-25 07:48 作者: 粗俗人 時間: 2025-3-25 11:49
Mathematical Models and Data Analysis, Next, the distinction between simulation or forward (or well-defined or well-specified) problems, and inverse (or data-driven or ill-defined) problems is highlighted. This chapter introduces analysis approaches relevant to the latter which include calibrated forward models and statistical models id作者: TOXIN 時間: 2025-3-25 19:49 作者: 審問 時間: 2025-3-25 23:24 作者: Paraplegia 時間: 2025-3-26 03:23 作者: VAN 時間: 2025-3-26 05:02
Linear Regression Analysis Using Least Squares,ches, such as stepwise regression to automatically select the appropriate subset of regressors, called . or . are described. Subsequently, the inherent assumptions/conditions under which OLS is an optimal estimator are discussed. This is followed by an in-depth treatment of how model . can provide d作者: brother 時間: 2025-3-26 12:26
Design of Physical and Simulation Experiments,ns and executing the test sequence where one variable is varied at a time, analyzing the data collected to verify (or refute) statistical hypotheses, and then drawing meaningful conclusions. Selected experimental design methods are discussed such as full and fractional factorial designs, and complet作者: 寄生蟲 時間: 2025-3-26 14:09 作者: languor 時間: 2025-3-26 19:56
Analysis of Time Series Data,rns using . with the time variable appearing as a regressor. Its strength lies in its ability to model the deterministic or structural components of the data in a relatively simple manner, and to provide reasonably accurate forecasts along with their confidence intervals. The . modeling approach is 作者: 四目在模仿 時間: 2025-3-26 23:45
Parametric and Non-Parametric Regression Methods,roduced, namely . (GLM), which combines in a unified framework both the strictly linear models and non-linear models which can be transformed into linear ones. The latter is achieved by . which can be applied to continuous and to binary/categorical random variables (such as exponential, logistic, an作者: Cognizance 時間: 2025-3-27 01:16 作者: nonchalance 時間: 2025-3-27 09:10 作者: 把…比做 時間: 2025-3-27 10:30 作者: GET 時間: 2025-3-27 14:04
Niall Gildea,Helena Goodwyn,Helen Tyson Next, the distinction between simulation or forward (or well-defined or well-specified) problems, and inverse (or data-driven or ill-defined) problems is highlighted. This chapter introduces analysis approaches relevant to the latter which include calibrated forward models and statistical models id作者: 美色花錢 時間: 2025-3-27 21:15
https://doi.org/10.1007/978-3-031-22556-7 the important discrete and continuous probability distributions are presented along with a discussion of their genealogy, their mathematical form, and their application areas. Subsequently, the Bayes’ theorem is derived and how it provides a framework to include prior knowledge in multistage tests 作者: 捕鯨魚叉 時間: 2025-3-28 00:33
https://doi.org/10.1007/978-3-031-22556-7useful both for determining errors in variables that are functions of individual experimental data and for selecting measuring instrumentation that meet pre-selected uncertainty criteria of the processed and derived variables. Finally, an overview of the various steps involved in planning a non-intr作者: FOVEA 時間: 2025-3-28 04:16
Peter Medway,John Hardcastle,David Crookues of data taken from several different groups are essentially equal or not, i.e., whether the samples emanate from different populations or whether they are essentially from the same population. Also treated are non-parametric statistical procedures, best suited for ordinal data or for noisy data,作者: EXPEL 時間: 2025-3-28 07:52
,The Three Schools—What We Have Learned,ches, such as stepwise regression to automatically select the appropriate subset of regressors, called . or . are described. Subsequently, the inherent assumptions/conditions under which OLS is an optimal estimator are discussed. This is followed by an in-depth treatment of how model . can provide d作者: 得體 時間: 2025-3-28 10:28 作者: 辯論 時間: 2025-3-28 18:32
English Theatre and Social Abjectionl methods involving calculus-based techniques (such as the Lagrange multiplier method) as well as numerical search methods, both for unconstrained and constrained problems as relevant to univariate and multivariate problems, are reviewed, and the usefulness of slack variable?approach is explained. S作者: crutch 時間: 2025-3-28 19:00 作者: aptitude 時間: 2025-3-28 23:28
Style and Sociolect: A Corpus-Based Study,roduced, namely . (GLM), which combines in a unified framework both the strictly linear models and non-linear models which can be transformed into linear ones. The latter is achieved by . which can be applied to continuous and to binary/categorical random variables (such as exponential, logistic, an作者: 易怒 時間: 2025-3-29 06:58
https://doi.org/10.1007/978-981-15-4518-4ve off-line and on-line data gathering..The first category?of inverse methods?involves ..?Three types of applications are used to illustrate the commonly adopted parameter estimation methods: solar photovoltaic systems, liquid-cooled chillers, and estimating macro-parameters of the building envelope作者: 蒼白 時間: 2025-3-29 10:35 作者: 惹人反感 時間: 2025-3-29 14:04
Travel Writing in the Nineteenth Century,o be selected when faced with different possible but specified chance events. In such cases, the process of decision-making with discrete alternatives can be structured as a series of steps involving framing the problem and objectives, identifying decision alternatives, determining chance events, de作者: inquisitive 時間: 2025-3-29 16:44 作者: Chagrin 時間: 2025-3-29 20:33 作者: 財產(chǎn) 時間: 2025-3-30 02:30
Data Collection and Preliminary Analysis,curacy of the raw data collected are addressed. These involve limit and balance checks, outlier rejection, and ways to handle missing data. Subsequently, salient statistical measures to describe and summarize datasets are presented. The importance of exploratory data analysis is highlighted along wi作者: BALK 時間: 2025-3-30 07:30
Making Statistical Inferences from Samples,edge of probability and probability distributions. More specifically, such statistical inferences involve point estimation, confidence interval estimation, hypothesis testing of means and variances from two or more samples, analysis of variance methods, goodness of fit tests, and correlation analysi作者: 躲債 時間: 2025-3-30 11:07
Linear Regression Analysis Using Least Squares,essor variables. The process involves both identifying the model functional form and estimating the parameters of the model. Models linear in their parameters, the focus of this chapter, are widely used, with?the . (OLS) method of estimating model parameters being the?most frequent. The . with one r作者: 網(wǎng)絡添麻煩 時間: 2025-3-30 13:49 作者: muffler 時間: 2025-3-30 16:51
Optimization Methods,ns and?illustrative examples. These techniques apply to situations where the impact of uncertainties is relatively minor and can be viewed as a subset of the broader domain of?decision-making (treated in Chap. .). This chapter starts by defining the various terms used in the optimization literature,作者: inquisitive 時間: 2025-3-30 22:19
Analysis of Time Series Data,or via models, and to use the models for forecasting into the future. This general area is rich in theoretical development and in practical applications. What constitutes time series data and some of the common features encountered are first discussed. This is followed by a description of three type作者: 苦笑 時間: 2025-3-31 01:35 作者: peritonitis 時間: 2025-3-31 07:21
