The relationship between precipitation and large-flow is important to understand and characterize in the climate system. We examine statistical relationships between the Tropical Rainfall Measurement Mission (TRMM) 3B42 gridded precipitation and large-scale ow variables in the Tropics for 2000{2007. These variables include NCEP/NCAR Re-analysis sea surface temperatures (SSTs), vertical temperature pro files, omega, and moist static energy, as well as Atmospheric Infrared Sounder (AIRS) vertical temperatures and QuikSCAT surface divergence. We perform correlation analysis, empirical orthogonal function analysis, and logistic regression analysis on monthly, pentad, daily and near-instantaneous time scales. Logistic regression analysis is able to incorporate the non-linear nature of precipitation in the relation- ship. Flow variables are interpolated to the 0.25 degrees TRMM 3B42 grid and examined separately for each month to o set the effects of the seasonal cycle. January correlations of NCEP/NCAR Re-analysis SSTs and TRMM 3B42 precipitation have a coherent area of positive correlations in the Western and Central Tropical Pacific on all time scales. These areas correspond with the South Pacific Convergence Zone (SPCZ) and the Inter Tropical Convergence Zone (ITCZ). 500mb omega is negatively correlated with TRMM 3B42 precipitation across the Tropics on all time scales. QuikSCAT divergence correlations with precipitation have a band of weak and noisy correlations along the ITCZ on monthly time scales in January. Moist static energy, calculated from NCEP/NCAR Re-analysis has a large area of negative correlations with precipitation in the Central Tropical Pacific on all four time scales. The first few Empirical Orthogonal Functions (EOFs) of vertical temperature profiles in the Tropical Pacific have similar structure on monthly, pentad, and daily timescales. Logistic regression fit coefficients are large for SST and precipitation in four regions located across the Tropical Pacific. These areas show clear thresholded behavior. Logistic regression results for other variables and precipitation are less clear. The results from SST and precipitation logistic regression analysis indicate the potential usefulness of logistic regression as a non-linear statistic relating precipitation and certain ow variables.

The wellness of credit risk has great influence on the Value of Mortage-Backed Securities (MBS), but there isn¡¦t any valuator to supervise and to estimate these securities-issued institutions in Taiwan. For earning the trust of the masses, these institutions must have great abilities to control credit risk in an acceptable degree, and then the people will be willing to invest in these MBS. This research makes use of data totaling 20,576 cases (17,425 normal cases and 3,151 default cases) from a certain domestic bank, Bank P, and constructs the Logistic Regression Model to steer the substantial evidence research. With the right prediction of 96.7% in normal, 85.4% in default, and 95% in whole, we find that we can use the borrower¡¦s age, occupation, the object of collateral, the use of collateral, the loan purpose, the year of loan, the line of credit, the category of interest, the interest rate, the source of case and the branch office as key factors for credit risk appraisal of reference provided to banks. In this study, we will determine whether interest rate is the key factor for default, followed by occupation. The other two factors, the category of interest and the source of case, which are not popularly talked about in related studies, are confirmed as the remarkable influence factors for credit risk. The other important discovery is that the influence of the loan condition and the specialities of the collateral have greater impact on credit risk than the personality of the borrower. This research provides some reference for financial institutions on credit evaluation, and makes up a good model for credit control. For previously issued MBS, this research also provides some academic basis for future adaptation.

The era of globalization and knowledge-economy has become the trend of the world. The enterprise faces such environment must consider the way how to maintain the competitive advantage. The way of the competitive advantage can adopt global logistics which transfer some department to relative advantage country in order to improve it¡¦s productivity. In1987, the Government released the law about restricting people to contact between Taiwan and China, and the trade between Taiwan and China became more and more important. With the trend of economic community in globalization and the industrial environment that changed in Taiwan, the Taiwanese firms should think more about how to keep advantages in global competition. Internationalization is the best choice that can help Taiwanese firms promote their competitive position in the world. China is a developing market and having a lot advantages, such as rich resources and cheaper labors. In a word, China has become the major location of Taiwanese firm¡¦s foreign direct investment. Before setting up a plant,the enterprise needs to know why they try to do that? First, if they just do a trial investment, build an offshore factory is enough. Otherwise, the enterprise not only loss the capital and then will hurt the assets of headcompany. Until the branch is operated steadily; or finding another nich. Enterprise could invest more resource and change the invested way to other type such as resource plant model, contribution plant model, front plant model or leadership plant model. The purpose of this thesis is to study if the enterprise builds new plant should consider which relative plant location. These factors provide a building new plant decision-making and investment referential framework. In other word, through this way the enterprise acquired the lowest cost and improved the sustainable competitive advantage. According to scholar¡¦s research, the factor of plant location includes: cost, infrastructure, business service, labor, government, customer/market, supplier / source, competitor. If we analyze quantity and quality in these factor that discover some signification such as the labor, infrastructure, government. From the environmental factor aspect (such as plant size, industry), the enterprise emphasize labor, supplier¡¦s factor that will set up plant in Taiwan; Otherwise, the enterprise will set up plant in China when it enhances the customer and market. Finally, we give some conculsion and suggestion.

This study includes six dimensions: article¡¦s attributions, author¡¦s traits, the identities of censors, the opinions of censors, the results of judgment and the processes of publication; uses content analysis to describe the present editorial situation of Journal of Human Resource Management (JHRM) and constructs the regression model by the logistic regression using four dimensions except the results of judgment and the processes of publication. The findings indicate two sides, the first one is on the content analysis: it has a significant difference between the year of contribution and references, article¡¦s issue, total pages, number of authors, days from submission to acceptance, days from submission to publication; and different academic title also affect the article¡¦s research method. The second one is on the effect factor of the article is published or not: article¡¦s attributions and author¡¦s traits, including 16 variables, have no any effects on the acceptance of an article, but the identities of censors and the opinions of censors, including 8 variables, do have significant effects on it. The important factors to the article are the number of censors, the application of entirety, the innovation of deliverance and the completeness of viewpoint and as the order for influencing the acceptance of an article.

In the thesis, we study the data collected from VICU of Kaohsiung Veterans General Hospital.The data consists of the following two kinds. The data of the first kind is ten minute ECG data with sampling frequency 500Hz. The data of the second kind is long term one minute average heart rate. There are two main topics studies in this thesis. In the first part, we consider the standard deviations which be taked log and medians of RR intervals, PR intervals and RT intervals, respectively derived from first kind data. By considering the odds ratio¡Bsensitivity and specificity, and we select the heart classification vectors. The object is to classify among normal and ventricular heart disease (VSD), normal and ventricular heart disease with congestive heart failure (VSD+CHF). We proposed a method of both variables and two-step classification procedure. Furthermore, we built the logistic regression models. In the second part, we derive the distribution of the spectrum power ratio of low frequency to high frequency. Shewhart control chart and Tabular cusum chart are constructed to monitor RG. Also, we discover the periodicity of RG. Finally, there exists positive correlation between RA¡]or RG¡^ and autocorrelation of lag one of RR interval.

The purpose of this article is try to find the efficient factor that affect corporate's financial structure.

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Sample size calculation methods for ordinal logistic regression are proposed to test statistical hypotheses. The author was motivated to do this work by the need for statistical analysis of the red imported fire ants data. The proposed methods use the concept of approximation by the moment-generating function. Some correction methods are also suggested. When a prior data set is available, an empirical method is explored. Application of the proposed methodology to the fire ant mating flight data is demonstrated. The proposed sample size and power calculation methods are applied in the hypothesis testing problems. Simulation studies are also conducted to illustrate their performance and to compare them with existing methods.

<p>Today's young people are well-educated ever but in a poor employment situation. At the beginning of this paper, I first state the situation both in the world and in China, revealing the poor employment situation of youth. Then I introduce systems related to youth employment in China and measures the government taken to help graduate students to find a job. The purpose of this paper is to analyze employment of youth people in China especially among the medium and highly educated people and find which and how the factors contribute to it. By using the Logistic Regression by STATA, I find that the main factors are gender, age, living area, and political status, major and educational level. The result reveals that the discrimination and gap between rural and urban area are severe issues in China. Last but not least, I give some suggestions both to the society and the individual to improve the youth employment.</p>

An overcrowding problem of nyala, and lately also of impala in the Ndumo Game Reserve, South Africa, has been detrimental to other species and vegetation structures over a period of two decades. In the present study a deterministic model for three competing species (where two species tend to be overpopulated while the third faces probable localized extinction) is constructed, while future trends coupled with their coexistence are projected. On a mathematical basis, we seek reasons for the failure of the cropping strategies implemented by management over the last two decades, and suggest alternative, scientifical-based approaches to the calculation of cropping quotas to ensure the future coexistence of all three species. A system of three first-order nonlinear differential equations is used, with parameter values based on field data and opinions of specialist ecologists. The effect of various cropping strategies, and the introduction of a fourth species (man as a predator) to the system, is investigated mathematically. This model was implemented as a harvesting strategy in 2002, and is being continuously tested. Final assessment can only be done over a 10–15-year period, but so far indications are promising.