Murphy, Hilary Catherine, Chen, Meng-Mei, Shapiro, Tanya, and CAUTHE (27th: 2017: Dunedin, New Zealand)
In: Lee, Craig (Editor); Filep, Sebastian (Editor); Albrecht, Julia N (Editor); Coetzee, Willem JL (Editor). CAUTHE 2017: Time For Big Ideas? Re-thinking The Field For Tomorrow. Dunedin, New Zealand: Department of Tourism, University of Otago, 2017: 255-266.
Asian Agricultural Research. Feb2015, Vol. 7 Issue 2, p29-33. 5p.
STATISTICAL methods in fishery management, FISHERIES, INTERNATIONAL economic integration, INFORMATION technology, FOREIGN exchange, and ECONOMIC conditions in China, 2000-
With the integration of global economy and rapid development of information technology, China's economic and trade exchange will be further strengthened and social economic phenomenon will become more and more complex. Therefore, understanding fisher statistical systems and making comparative analysis become particularly important for formulating fisher development and economic management policies. Through comparative study on statistical systems, organization, statistical laws and regulations, statistical indicators, and statistical management and methods of different countries, this paper is intended to provide reference for improving China' s fisher statistical system and operating mechanism. [ABSTRACT FROM AUTHOR]
Water Resources Management; Mar2017, Vol. 31 Issue 5, p1557-1574, 18p
DROUGHTS, AGRICULTURE & the environment, IRRIGATION canals & flumes, ANALYTIC hierarchy process, STATISTICAL methods in climatology, and METEOROLOGY
The Guanzhong Plain, as an important traditional agricultural area, is suffering from high frequency droughts and a trend towards more serious drought. In this paper, eight factors, precipitation, evapotranspiration, surface water availability, depth to groundwater, well yield capacity, slope, potential water storage of soil, and GDP from agriculture, are integrated into an index to represent drought vulnerability based on the overlay and index method. In this approach, according to the internal connections between factors, precipitation and evapotranspiration are integrated into the moisture index, and depth to groundwater and well yield capacity are integrated into groundwater availability. To improve the rationality and accuracy, normalization is employed to assign rating values, and the analytic hierarchy process is introduced into the weighting scheme. Two local drought monitoring datasets endorses the results of the model. The map removal sensitivity analysis indicates the vulnerability index has low sensitivity in removing each layer. The single-parameter sensitivity analysis indicates the major contribution to the vulnerability index is meteorology followed by groundwater availability and surface water availability. The vulnerability map shows the low vulnerability coincides roughly with irrigation districts on the terraces and floodplains. The northwest tableland generally has moderate vulnerability, due largely to inefficient groundwater withdrawal. The high vulnerability is concentrated at the peripheries of the plain, where agriculture is generally rain-fed without irrigation and groundwater support, and land is rugged with high slopes. [ABSTRACT FROM AUTHOR]
KASHIN-Beck disease, STATISTICAL methods in health surveys, PRINCIPAL components analysis, NUTRITION disorders in old age, QUALITY of life, ANALYSIS of variance, and PATIENTS
To validated the 12-item Health Status Survey (SF-12) of Chinese version for evaluating health-related quality of life (HRQL) of Kashin-Beck disease (KBD) patients in Aba Tibetan autonomous area, China. 338 adult KBD patients in Rangtang County of Aba area were investigated with SF-12. Principal component analysis with varimax rotation was used to test the original factor pattern. Internal consistency reliability was assessed by using Cronbach's alpha. 'Known groups' construct validity was assessed by comparing SF-12 component scores between respondents hypothesized to differ in health-related variables. Two latent factors were extracted explaining 69.4 % of the variance of the questionnaire. The factor loadings were mostly according with the principle concept, except for 'vitality' (VT) and 'social functioning' (SF) scales that loaded heavier on physical component. The Cronbach's alpha coefficient was 0.909 for the physical health domain, 0.900 for the mental health domain, and 0.914 for the whole scale. The SF-12 had satisfactory 'known group' validity and could well discriminate the differences between patients and healthy controls and between subgroups divided by age, duration of suffering or number of affected joints. The SF-12 could be used to evaluate the HRQL of adult KBD patients in Aba Tibetan autonomous area in China and with good feasibility, reliability and validity. [ABSTRACT FROM AUTHOR]
NONPARAMETRIC statistics, STATISTICAL methods in health surveys, MEDICAL statistics, PROJECTION, and SARS (Disease)
The infection curve of Severe Acute Respiratory Syndrome (SARS) using the back-projection method was reconstructed for the SARS outbreak period (from March 1, 2003 to June 20, 2003) in Beijing to assess the effectiveness of the intervention measures. There were 2,521 confirmed SARS cases with a population size of 13 million. The SARS outbreak pattern corresponded well with the major events timeline over the SARS outbreak. Despite the limited resources with such a large population size, the intervention measures taken by the Beijing Municipal Government seemed to be effective in containing the SARS epidemic in Beijing. [ABSTRACT FROM AUTHOR]
METEOROLOGICAL precipitation measurement, STATISTICAL methods of meteorological precipitation, RAINFALL, KRIGING, METEOROLOGICAL stations, and MULTIPLE imputation (Statistics)
This study aims to present a new imputation method for missing precipitation records by fusing its spatio-temporal information. On the basis of extending simple kriging model, a nonstationary kriging method which assumes that the mean or trend is known and varies in whole study area was proposed. It obtains precipitation trend of each station at a given time by analyzing its time series data, and then performs geostatistical analysis on the residual between the trend and measured values. Finally, these spatio-temporal information is integrated into a unified imputation model. This method was illustrated using monthly total precipitation data from 671 meteorological stations of China in April, spanning the period of 2001-2010. Four different methods, including moving average, mean ratio, expectation maximization and ordinary kriging were introduced to compare with. The results show that: Among these methods, the mean absolute error, mean relative error and root mean square error of the proposed method are the smallest, so it produces the best imputation result. That is because: (1) It fully takes into account the spatio-temporal information of precipitation. (2) It assumes that the mean varies in whole study area, which is more in line with the actual situation for rainfall. [ABSTRACT FROM AUTHOR]