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Titlebook: Applied Data Analysis and Modeling for Energy Engineers and Scientists; T. Agami Reddy Book 20111st edition Springer Science+Business Medi

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發(fā)表于 2025-3-27 00:45:20 | 只看該作者
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發(fā)表于 2025-3-27 05:08:44 | 只看該作者
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
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發(fā)表于 2025-3-27 06:38:58 | 只看該作者
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發(fā)表于 2025-3-27 10:57:47 | 只看該作者
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發(fā)表于 2025-3-27 16:22:58 | 只看該作者
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
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發(fā)表于 2025-3-27 20:13:45 | 只看該作者
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發(fā)表于 2025-3-28 00:45:37 | 只看該作者
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發(fā)表于 2025-3-28 06:05:37 | 只看該作者
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
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發(fā)表于 2025-3-28 07:24:38 | 只看該作者
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發(fā)表于 2025-3-28 11:23:37 | 只看該作者
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
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