Product Manufacturing Economics and Process Monitoring

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Related lectures (29)

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Multivariate Statistics: Normal Distribution

Covers the multivariate normal distribution, properties, and sampling methods.

Estimation and Confidence Intervals

Explores bias, variance, and confidence intervals in parameter estimation using examples and distributions.

Powder Characterisation: Physical, Chemical, Morphology

Explores the physical, chemical, and morphological analysis of powders, emphasizing sampling accuracy and quality control.

Hypothesis Testing and Confidence Intervals: Key Concepts

Provides an overview of hypothesis testing and confidence intervals in statistics, including practical examples and key concepts.

Statistical Analysis: Boxplot and Normal Distribution

Introduces statistical analysis concepts like boxplot and normal distribution using real data examples.

Central Limit Theorem: Proof

Presents the proof of the Central Limit Theorem using Lindeberg's principle.

Cost Modelling of Materials

Explores cost modelling of materials, focusing on technical approaches, automotive case studies, and sustainability, emphasizing the importance of data quality and the impact of weight and emissions on OEMs.

Cost Modelling for Sustainable Innovation

Introduces cost modelling as a tool for sustainable innovation and covers topics such as transport CO2 emissions and material properties.

Continuous Random Variables

Explores continuous random variables, density functions, joint variables, independence, and conditional densities.

Bayesian Parameter Estimation

Covers an example of Bayesian parameter estimation and the trade-off between bias and variance in supervised learning.