Diese Präsentation wurde erfolgreich gemeldet.
Die SlideShare-Präsentation wird heruntergeladen. ×

Explain why a proccss that is not in statistical control might not be.docx

Anzeige
Anzeige
Anzeige
Anzeige
Anzeige
Anzeige
Anzeige
Anzeige
Anzeige
Anzeige
Anzeige
Anzeige

Hier ansehen

1 von 2 Anzeige

Explain why a proccss that is not in statistical control might not be.docx

Herunterladen, um offline zu lesen

Explain why a proccss that is not in statistical control might not be a good candidate for experimentation. Suggest an alternative course of action that would be more effective in studying the proccss and explain your reasoning
Solution
Alternatives:
Discrete-time Markov Chains
Specific Discrete-time Markov Chains
Working with Discrete Time Markov Chains
Branching Processes
Long Run Behavior
(begin second half of course)

Continuous-time Markov Chains
Poisson Processes
Birth-Death Processes
Brownian Motion
Stochastic calculus
.

Explain why a proccss that is not in statistical control might not be a good candidate for experimentation. Suggest an alternative course of action that would be more effective in studying the proccss and explain your reasoning
Solution
Alternatives:
Discrete-time Markov Chains
Specific Discrete-time Markov Chains
Working with Discrete Time Markov Chains
Branching Processes
Long Run Behavior
(begin second half of course)

Continuous-time Markov Chains
Poisson Processes
Birth-Death Processes
Brownian Motion
Stochastic calculus
.

Anzeige
Anzeige

Weitere Verwandte Inhalte

Weitere von rtodd432 (20)

Aktuellste (20)

Anzeige

Explain why a proccss that is not in statistical control might not be.docx

  1. 1. Explain why a proccss that is not in statistical control might not be a good candidate for experimentation. Suggest an alternative course of action that would be more effective in studying the proccss and explain your reasoning Solution Alternatives: Discrete-time Markov Chains Specific Discrete-time Markov Chains Working with Discrete Time Markov Chains Branching Processes Long Run Behavior (begin second half of course) Continuous-time Markov Chains Poisson Processes Birth-Death Processes Brownian Motion
  2. 2. Stochastic calculus

×