Design of Experiments and Statistical Process Control Homework Help

Design of Experiments and Statistical Process Control Homework Help

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  • General block design and its information matrix
  • Criteria for connectedness
  • Balance and orthogonality
  • Intrablock analysis
  • Estimability
  • Balance incomplete block design (BIBD)
  • Analysis of Covariance (ANCOVA)
  • Completely Randomized Design (CRD)
  • Randomized Block Design (RBD)
  • Latin Square Design (LSD)
  • Recovery of interblock information
  • Youden design-intrablock analysis
  • Analysis of covariance in a general Gauss-Markov model
  • Fixed, mixed and random effects models
  • Variance components
  • Test for variance components
  • Missing plot technique
  • General theory and applications
  • General factorial experiments
  • Factorial effects
  • Best estimates and testing the significance of factorial effects
  • F 2 and 3 factorial experiments in randomized blocks
  • Complete and partial confounding
  • Fractional replication for symmetric factorials
  • Split plot and split block experiments
  • Parametric relations
  • Intra block analysis of bib design
  • Youden squares design
  • Intra block design analysis of yauden square design
  • Lattice design
  • Simple and balanced lattice design
  • Analysis of lattice design
  •   Missing plot techniques
  •   Factorial experiment
  •   Main effects and interaction effects
  •   2^n and 3^n factorial experiment
  •   Analysis of 2^n and 3^n factorial experiments in randomized block.
  •   Confounding experiments
  •   Complete partial and balanced confounding and its anova table.
  •   Split and strip plot designs
  •   Analysis of covariance in a general grass-markov model
  •   Response surface designs
  •   First order and second order response surface designs
  •   Second order rotable designs
  • Application areas
  • Response surface experiments
  • First order designs and orthogonal designs
  • Clinical trials
  • Longitudinal data
  • Treatment-control designs
  • Model validation and use of transformation
  • Tukey’s test for additivity
  • Full factorial
  • Response surface (central composite and Box-Behnken)
  • Fractional factorial
  • D-optimal
  • Latin hypercube
  • Gage repeatability and reproducibility studies
  • Estimation of process capability
  • Control charts
  • Western Electric and Nelson control rules to control chart data

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