High quality defense personnel have decisive influence at modern war, and therefore it is the benefit for national security, and the root, garuantee for enhancing military combat power. For years, highly personnel resignation rate has been an important issue for militart personnel resources management. Abnormal resignation rate will not only influences the quality of organizational operation but also disr pts the experience of personnel of the organizational structure.Especially for military services,it will effect our national security and combat power as a whole. General studies of probing resignation were most focuset on factors of resignation will,tendency as probing issues,seldom studies were focused on systematic stuies of resignation rate. Therefore, it is a respond of human resources policies to probe resignation rate in an appropriate way. In this stay, the commissioned and non-commissioned offices in Chinese Marine Corp who stationed in southern Taiwan were taken as probing factors. The predictable capability of Logistic Regression Model has been used in this study as well in order to create the calculation model mode for resignanation rate. The result of the study has been comfirmed that educational level, part-time studies, seniority, marriage, ranking, branch of military services, salary, unit character, welfare and so on were all resignationrelared. Also it is acceptable to predict resignation rate by utilizing this method.

The main aim of this thesis was to describe and evaluate the price trend of poultry in selected countries of European Union during the period 2003 2013. The first part of the thesis is focused on theoretical knowledge - the definition of price, pricing terms, pricing methods, factors that influence the price level, the elasticity of demand, legislation and Common Agricultural Policy. It is followed by methodology. In this part procedures and formulas are used to achieve the aim. Practical part is the most important part of the thesis. It describes the evolution price of poultry in selected countries of European Union during the period 2003-2013. In this part is tested existence seasonal fluctuation of price and dependence prices on revenue population. There is also calculated elasticity of demand and prediction of the future price of poultry until 2016. The conclusion sums up results of practical parts.