Finance problem solution needed

Cancelado Publicado Apr 23, 2015 Pagado a la entrega
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1. A company has two machines. During any day, each machine that is working at the beginning of the day has a chance of breaking down. If a machine breaks down during the day, it is sent to a repair facility and will be working two days after it breaks down. (Thus, if a machine breaks down during day 3, it will be working at the beginning of day 5.) Letting the state of the system be the number of machines working at the beginning of the day, formulate a transition probability matrix for this situation.

Suppose a machine that breaks down returns to service three days later (for instance, a machine that breaks down during day 3 would be back in working order at the beginning of day 6). Determine a transition probability matrix for this situation.

[NOTE: MUST HAVE A FULLY WORKED SOLUTION WITH PROOF].

[url removed, login to view] an inventory system in which the sequence of events during each period is as follows:

(1) We observe the inventory level (call it i) at the beginning of the period.

(2) If i <= 1, 4 – i units are ordered.

If I >= 2, 0 units are ordered.

(3) With probability 1/3, 0 units are demanded during the period;

a. With probability 1/3, 1 unit is demanded during the period; and

b. With probability 1/3, 2 units are demanded during the period.

(4) We observe the inventory level at the beginning of the next period.

Define a period’s state to be the period’s beginning inventory level. Determine the transition matrix that could be used to model this inventory system as a Markov chain.

[NOTE: YOU MUST PROVIDED A FULLY WORKED SOLUTION AND NOT JUST ANSWERS. I NEED TO SEE HOW THE ANSWER WAS DERIVED]

budget $20 for this 2 problem

i need this done by next 8 hour maximum.

so please bid if you know how to solve this problems.

Finanzas Análisis financiero Mercados financieros Búsqueda financiera Análisis de elementos finitos

Nº del proyecto: #7541637

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1 freelancer está ofertando un promedio de $16 para este trabajo.

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$16 USD / hora
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