Employing marketing analysis to integrate the two techniques of target costing and value engineering and its reflection in improving the value of the product

A thesis submitted to the council of the college of Administration &Economics\ University of Karbala as partial fulfillment of the requirements for the degree of Master of Statistics Sciences

By

Karma Nasser Hussein Al-Abadi

Under supervision
Ass.Prof.Dr Awad Nazem Shaalan Al-Khalidi

The process of Appreciation staying function is one of the important topics that they take a huge space in the statistics researches in spite of, what is written by studies and researches about it. These studies are different according to the different methods used, which they are traditional, or Bayesian in order to get estimates of a high level of efficiency.

In this thesis we concentrate on the Al Bayesian methods to find special estimates, it’s by using the staying function, and some of its indicators of Lindely distribution whose have three tutors. It’s in the situation when we have the basic information about the tutors in the shape of potential primary function for the two shape tutors, and assessment tutor. It’s by using three of Al Bayesian methods. They are the following: the standard Bayes method, the expected Bayesian method, and hierarchical Bayesian method. These derivations appreciated methods aim to reach to the formulas that its estimates are used by a squared error loss function, and a general Entropy loss function, because of the difficult of these special mathematics processes to count estimates appreciation staying function by using Al Bayesian methods so that it is used the suggestion of scholar Lindley which is a approximately style in year (1980).

In the experimentation side we find the employment the simulation style through the use of Mont- Carlo method. It generates the random data for a sample consists of three sizes (10-25-50-75-100),  which they follow Lindley distribution that it consists three tutors, and it selects supposition values for the tutors: (α.β.θ) with a nine samples, in order to get new estimates of a high accuracy. These new estimates have the characteristics that they require to be available in a perfect estimated which it’s depended on it in the approximately process, and is relied on the simulation results. it’s by the use of (IMSE) the mean of The squares of integral error statistics criterion. It’s obvious expected Bayesian method under general Entropy loss function and Hierarchical Bayesian method under, general Entropy loss function are more perfected to approximate staying function.

The results are arrived to from experimental side, they used in a real practical side. The scholar uses standard Bayes method to approximate staying function after the appearance of its perfection on the practical side in a real sample of the size (25), the especial watching of the days of stay under treatment until death for people with virus (covid-19) obtained from the fever department at AL-Hussein Teaching Hospital in Karbala Governorate the Expected Bayesian method. It gives suitable, and accurate estimates for the data of study. It’s the matter ensure what’s practical side arrived.