• 간호행정학회지
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• 제9권4호
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• pp.571-583
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• 2003

Purpose: This study was aimed by presenting basic data of nurses' manpower management on studying about estimative variables and provability assumption whether it is desire or no on the transfer of nurses' duty post. Method: The study was designed retrospective survey and the subjects of this study consisted of 508 nurses who have engages in the K-university hospital. Data were analyzed by SPSS windows for 11.0, by logistic regression. Result: The status on clinical specific variables were verified on estimative variable about whether it is desire or no on the transfer of nurses' post of duty that staff nurses was 3.95 times when set the standard over the charge nurses, and unsatisfied nurses than satisfied nurses on the place of duty at present was 1.4 times. On the low domains of duty's satisfied degree was verified on predictive variable about whether it is desire or no on the transfer of nurses' post of duty that nurses of low feeling of satisfaction about personal relationship was 1.19 times, unsatisfied nurses about hospital management was 2.01 times verified on desiring transfer to other places. Conclusion: The suitability of estimative model whether it is desire or no on the transfer of nurses' post of duty explainable by the variable of the status, the feeling of satisfaction on post of duty, the personal relationship the hospital management and estimative probability was 80.9%.

• 한국조경학회지
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• 제30권2호
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• pp.39-49
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• 2002

The purpose of this study is to propose an objective and rational methodology for the selection of proposed sites far the National Trust(NT), which is the new alterative proposal far the conservation of natural environments destroyed by injudicious land development and economic growth. That is to enforce many analysis for the effective estimation of rare ecological and landscape resources and to propose a model based on estimation and united indicators. Using the estimative model, we apply it to the selection of the proposed site in micro scale and simultaneously offer the basic methodology of effective and systematic land conservation in macro scale. The results of this study are as follows: 1) The results of analysis for the reliability of estimative items and indicators, presented no problem in that the coefficient of reliability was over 0.7. 2) The correlation measure of the estimative indicator indicated that 'succession'and 'regenerating restorability' were highly correlative in the item of plants. Another three items showed a tendency to be alike. 3) The results of factor analysis on the characteristics of indicators, classified plants into four categories including a stable factor. The item of animals was classified as a stable and rare factor. The item of landscape was classified as a physical and mental factor and the environment as a pollutional and conditional factor. 4) The model of estimation created through factor analysis was valid for the approval of the regression model because significant probability was 0.00. When we consider the NT proposed site as a complex body that is composed of diverse natural and manmade resources, certainly the synthetic methodology of estimation is needed. If these studies are carried out, NT sites will be selected more rationally and effectively than at present. Consequently, they have the potential to play a core role of natural ecosystem conservation in Korea.

• Communications for Statistical Applications and Methods
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• 제24권4호
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• pp.325-337
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• 2017

In this paper, we proposed a new long-term lifetime distribution with four parameters inserted in a risk competitive scenario with decreasing, increasing and unimodal hazard rate functions, namely the Weibull-Poisson long-term distribution. This new distribution arises from a scenario of competitive latent risk, in which the lifetime associated to the particular risk is not observable, and where only the minimum lifetime value among all risks is noticed in a long-term context. However, it can also be used in any other situation as long as it fits the data well. The Weibull-Poisson long-term distribution is presented as a particular case for the new exponential-Poisson long-term distribution and Weibull long-term distribution. The properties of the proposed distribution were discussed, including its probability density, survival and hazard functions and explicit algebraic formulas for its order statistics. Assuming censored data, we considered the maximum likelihood approach for parameter estimation. For different parameter settings, sample sizes, and censoring percentages various simulation studies were performed to study the mean square error of the maximum likelihood estimative, and compare the performance of the model proposed with the particular cases. The selection criteria Akaike information criterion, Bayesian information criterion, and likelihood ratio test were used for the model selection. The relevance of the approach was illustrated on two real datasets of where the new model was compared with its particular cases observing its potential and competitiveness.