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İŞLETME KARAR MODELLERİ

8. Ünite
Soru 1
Which of the followings are crucial elements for a stochastic processes?
Soru 2
Which of the followings are Markov property?
Soru 3
When given a one-step transition matrix of a process, if the matrix is multiplied by 3 times with itself, what the result shows?
Soru 4
The following matrix presents a weather prediction model. The model has four states and the names of states are a=cloudy, b=rainy, c=snowy, d=sunny.

   

According to matrix, which of followings show the possibility of being a sunny day after a snowy day?

Soru 5
The following matrix presents a weather prediction model. The model has four states and the names of states are a=cloudy, b=rainy, c=snowy, d=sunny.

   

According to matrix, which of following is a true explanation?

Soru 6

According to the matrix, which of the following is the recurrent?

Soru 7

According to the above transition diagram, which of the following shows the communication classes of the diagram?

Soru 8
I.It has a special property that probabilities indicating how the process will evolve
in the future depending only on the present state of the process.

II.It indicates a decision to the decision maker.

III.It is used to analyse different decision situations, and the most well-known of these situations is “Brand Switching” in customer analysis.

Which one/ones above is/are correct about Markov analysis?

Soru 9
Why is the random variable identified as a function?
Soru 10
Which one below can not be given as an example for stochastic processes?
Soru 11
What are the probabilities of going from ones state to another called?
Soru 12
When does a transition matrix is called regular?
Soru 13
When does a Markov chain is considered as irreducible?
Soru 14
"It is a state that can only return to itself after a fixed number of transitions greater than 1." Which notion below belongs to the given description?
Soru 15
In which state does Markov chain lock itself once it is in it?
Soru 16
I.The chain does not stop changing.

II.The probabilities do not change with respect to time.

III. Limiting probability may converge to steady-state values that are independent of the initial state.

Which one/ones above is/are correct about "the steady-state (or limiting) behavior of a Markov chain"?

Soru 17
A state with a self-loop transition is always .........................?
Soru 18
Which term completes the blank in the following sentence best?      ............... generally deals with decision making in the face of uncertainty about one future event.
Soru 19
Which term completes the blank in the following sentence best? ................... is basically a marketing application and deals with the examination of customer’s commitment to a specific product type, store or supplier.
Soru 20
Which term completes the blank in the following sentence best? In ........................, events occur over time, and time can be dealt with either in discrete fashion or continuous fashion.