A) A process that only occurs in discrete steps. B) A deterministic process with fixed outcomes. C) A process that remains constant over time. D) A random process evolving over time.
A) Average value of the process over time. B) Maximum value the process can attain. C) Exact value of the process at a given time. D) Set of all possible values that the process can take.
A) Exponential distribution B) Normal distribution C) Uniform distribution D) Bernoulli distribution
A) Measure of correlation between values at different time points. B) Exact form of the process at a given time. C) Average of the process over time. D) Maximum correlation possible for the process.
A) Deterministic process B) Markov process C) Geometric process D) Brownian motion
A) Long-term average behavior can be inferred from a single realization. B) Behavior is completely random. C) Short-term analysis is sufficient for understanding long-term behavior. D) No inference can be made about long-term behavior.
A) As the number of observations increases, sample averages converge to expected values. B) Randomness decreases with more observations. C) Sample averages diverge from expected values. D) Expected values change with the number of observations.
A) Describes probabilities of moving to different states. B) Calculates the average time spent in each state. C) Specifies the final state of the process. D) Determines the initial state of the process. |