Commonly used statistical procedure to describe the observed statistical sets is to use their conventional moments or cumulants. When choosing an appropriate parametric distribution for the data set is typically that ...Commonly used statistical procedure to describe the observed statistical sets is to use their conventional moments or cumulants. When choosing an appropriate parametric distribution for the data set is typically that parameters of a parametric distribution are estimated using the moment method of creating a system of equations in which the sample conventional moments lay in the equality of the corresponding moments of the theoretical distribution. However, the moment method of parameter estimation is not always convenient, especially for small samples. An alternative approach is based on the use of other characteristics, which the author calls L-moments. L-moments are analogous to conventional moments, but they are based on linear combinations of order statistics, i.e., L-statistics. Using L-moments is theoretically preferable to the conventional moments and consists in the fact that L-moments characterize a wider range of distribution. When estimating from sample L-moments, L-moments are more robust to the presence of outliers in the data. Experience also shows that, compared to conventional moments, L-moments are less prone to bias of estimation. Parameter estimates obtained using L-moments are mainly in the case of small samples often even more accurate than estimates of parameters made by maximum likelihood method. Using the method of L-moments in the case of small data sets from the meteorology is primarily known in statistical literature. This paper deals with the use of L-moments in the case for large data sets of income distribution （individual data） and wage distribution （data are ordered to form of interval frequency distribution of extreme open intervals）. This paper also presents a comparison of the accuracy of the method of L-moments with an accuracy of other methods of point estimation of parameters of parametric probability distribution in the case of large data sets of individual data and data ordered to form of interval frequency distribution.展开更多
This paper is based on the author＇s work shop which provides educators with information on how to utilize ＂Soft Toy Theory＂. The workshop is based on a set of theoretical concepts taken from： psychology, play ther...This paper is based on the author＇s work shop which provides educators with information on how to utilize ＂Soft Toy Theory＂. The workshop is based on a set of theoretical concepts taken from： psychology, play therapy, and literacy theory which have been blended together to form a set of teaching approaches and lesson plan ideas that can be used in Literacy/English classes. The paper will also discuss the value of using ＂Story Sacks＂ to develop and raise levels of comprehension and understanding in extensive reading and reading programs. The application of ＂Soft Toy Theory＂ could also provide a positive social-psychological affect on the students. It is designed to creating bonding between teacher and student and student and student and to raise levels of self-esteem and enable the teachers to be able to access the thoughts and feelings of a child or young adu/t which can often be hard to discern from traditional direct question and answer sessions. ＂Soft Toy Theory＂ is a term that the author has adopted herself for using play, creativity, and art resources and soft toys to create dialogues in the Kindergarten and Elementary classroom： It is even possible to extend the use ＂Soft Toy Theory＂ to middle school, high school, and adult classrooms if the resources and topics and ＂tone＂ and tenor of teaching are appropriately adapted. Soft Toy Theory assumes that soft toys can include： actual soft toys, art resources, and other play resources： such as, sand, water, puppets, masks and clay. Story Sacks employ much of the theory that supports ＂soft toy usage＂ within the classroom. Story Sacks aim to provide inspiring resources whilst encouraging enjoyment and a greater comprehension of ＂real＂ books or ＂graded＂ readers. Additionally, Story Sacks can support extensive reading in the school and at home, and are a useful adjunct to Soft Toy Theory and supporting literacy activities in any classroom.展开更多
Along with the economic development,large tunnels need to be constructed in many high mountains or complex structure regions,and the design and construction of detailed tunnel exploration become particularly important...Along with the economic development,large tunnels need to be constructed in many high mountains or complex structure regions,and the design and construction of detailed tunnel exploration become particularly important.Transient electromagnetic method( TEM) uses a non-grounded loop or an electrode to send a primary electromagnetic pulse into the ground,and observes spatial and temporal distribution of secondary electromagnetic field,which is widely applied in mineral resource exploration,engineering geology,etc.The application of TEM in the tunnel construction of Kaiyuan Temple is researched in this study.The smoke loop inversion is adopted for inverting the transient electromagnetic data.The drilling data and high density resistivity method data are combined for comparison.The obtained inversion result greatly coincides with the actual conditions.Therefore,the geophysical prospecting basis can be provided for the division of stratum,delineation of geological structure,and design and construction of tunnel pavement.By virtue of TEM,drilling data and high density resistivity method,the tunnel construction of Kaiyuan Temple has obtained satisfactory results.展开更多
Non-linear programming analysis suggests that employment effects of minimum wage regulation are the result not only of the regulation itself but also of the external regulatory environment. At a certain level, the reg...Non-linear programming analysis suggests that employment effects of minimum wage regulation are the result not only of the regulation itself but also of the external regulatory environment. At a certain level, the regulatory environment intensifies the effect on employment of minimum wage regulation. Empirical studies based on survey data from 439 enterprises in Guangdong and Fujian show that minimum wage rises had a greater impact on the employment of rural migrant workers in 2008 than in 2007, although no significant change was observed among workers who were permanent urban residents. Further analysis shows that the greater impact on migrant workers derives mainly from the strengthened regulatory environment brought about by the Employment Contracts Law. The permanent urban workforce has not been similarly affected because their interests have been given priority under the dual employment system. This reminds us that the employment effects of the Employment Contracts Law may be realized indirectly through other regulatory measures, including strengthened minimum wage regulation.展开更多
Integrated River Basin Management(IRBM)has been a long discussed way to sustainably manage water and land resources;yet,very few examples of effective IRBM are found because there is a lack of sufficient scientific su...Integrated River Basin Management(IRBM)has been a long discussed way to sustainably manage water and land resources;yet,very few examples of effective IRBM are found because there is a lack of sufficient scientific support,as well as institutional accommodation,to successfully implement it.This paper overviews the major challenges with IRBM,the promising scientific approaches for the implementation of IRBM,and the areas of needed research,with considerable issues and experiences from China.It is expected that novel research will draw together disparate disciplines into an integrated scientific framework,upon which better modeling tools,stakeholder involvement,and decision-making support can be built.Cutting-edge new technologies will bring ideas of IRBM forward to theory and finally to practice.The paper will prompt scientists to undertake research to fill in the gaps in the current IRBM knowledge base and provide practitioners guidance on how to incorporate scientifically based information within the IRBM decision process.展开更多
文摘Commonly used statistical procedure to describe the observed statistical sets is to use their conventional moments or cumulants. When choosing an appropriate parametric distribution for the data set is typically that parameters of a parametric distribution are estimated using the moment method of creating a system of equations in which the sample conventional moments lay in the equality of the corresponding moments of the theoretical distribution. However, the moment method of parameter estimation is not always convenient, especially for small samples. An alternative approach is based on the use of other characteristics, which the author calls L-moments. L-moments are analogous to conventional moments, but they are based on linear combinations of order statistics, i.e., L-statistics. Using L-moments is theoretically preferable to the conventional moments and consists in the fact that L-moments characterize a wider range of distribution. When estimating from sample L-moments, L-moments are more robust to the presence of outliers in the data. Experience also shows that, compared to conventional moments, L-moments are less prone to bias of estimation. Parameter estimates obtained using L-moments are mainly in the case of small samples often even more accurate than estimates of parameters made by maximum likelihood method. Using the method of L-moments in the case of small data sets from the meteorology is primarily known in statistical literature. This paper deals with the use of L-moments in the case for large data sets of income distribution （individual data） and wage distribution （data are ordered to form of interval frequency distribution of extreme open intervals）. This paper also presents a comparison of the accuracy of the method of L-moments with an accuracy of other methods of point estimation of parameters of parametric probability distribution in the case of large data sets of individual data and data ordered to form of interval frequency distribution.
文摘This paper is based on the author＇s work shop which provides educators with information on how to utilize ＂Soft Toy Theory＂. The workshop is based on a set of theoretical concepts taken from： psychology, play therapy, and literacy theory which have been blended together to form a set of teaching approaches and lesson plan ideas that can be used in Literacy/English classes. The paper will also discuss the value of using ＂Story Sacks＂ to develop and raise levels of comprehension and understanding in extensive reading and reading programs. The application of ＂Soft Toy Theory＂ could also provide a positive social-psychological affect on the students. It is designed to creating bonding between teacher and student and student and student and to raise levels of self-esteem and enable the teachers to be able to access the thoughts and feelings of a child or young adu/t which can often be hard to discern from traditional direct question and answer sessions. ＂Soft Toy Theory＂ is a term that the author has adopted herself for using play, creativity, and art resources and soft toys to create dialogues in the Kindergarten and Elementary classroom： It is even possible to extend the use ＂Soft Toy Theory＂ to middle school, high school, and adult classrooms if the resources and topics and ＂tone＂ and tenor of teaching are appropriately adapted. Soft Toy Theory assumes that soft toys can include： actual soft toys, art resources, and other play resources： such as, sand, water, puppets, masks and clay. Story Sacks employ much of the theory that supports ＂soft toy usage＂ within the classroom. Story Sacks aim to provide inspiring resources whilst encouraging enjoyment and a greater comprehension of ＂real＂ books or ＂graded＂ readers. Additionally, Story Sacks can support extensive reading in the school and at home, and are a useful adjunct to Soft Toy Theory and supporting literacy activities in any classroom.
文摘Along with the economic development,large tunnels need to be constructed in many high mountains or complex structure regions,and the design and construction of detailed tunnel exploration become particularly important.Transient electromagnetic method( TEM) uses a non-grounded loop or an electrode to send a primary electromagnetic pulse into the ground,and observes spatial and temporal distribution of secondary electromagnetic field,which is widely applied in mineral resource exploration,engineering geology,etc.The application of TEM in the tunnel construction of Kaiyuan Temple is researched in this study.The smoke loop inversion is adopted for inverting the transient electromagnetic data.The drilling data and high density resistivity method data are combined for comparison.The obtained inversion result greatly coincides with the actual conditions.Therefore,the geophysical prospecting basis can be provided for the division of stratum,delineation of geological structure,and design and construction of tunnel pavement.By virtue of TEM,drilling data and high density resistivity method,the tunnel construction of Kaiyuan Temple has obtained satisfactory results.
基金the National Natural Science Foundation sponsored project, "The Employment Effects of Labor Regulation on Rural Migrant Workers and Administrative Policies: With a Focus on Minimum Wage Rises" (劳动规制对农民工的就业影响及管理政策研究:以提高最低工资标准为例)sponsored by the General Administration of Quality Supervision, Inspection and Quarantine and the Renmin University of China, "The Impact of Foreign Technical Measures on China’s Export" (国外基础性贸易措施对我 们出口的影响)
文摘Non-linear programming analysis suggests that employment effects of minimum wage regulation are the result not only of the regulation itself but also of the external regulatory environment. At a certain level, the regulatory environment intensifies the effect on employment of minimum wage regulation. Empirical studies based on survey data from 439 enterprises in Guangdong and Fujian show that minimum wage rises had a greater impact on the employment of rural migrant workers in 2008 than in 2007, although no significant change was observed among workers who were permanent urban residents. Further analysis shows that the greater impact on migrant workers derives mainly from the strengthened regulatory environment brought about by the Employment Contracts Law. The permanent urban workforce has not been similarly affected because their interests have been given priority under the dual employment system. This reminds us that the employment effects of the Employment Contracts Law may be realized indirectly through other regulatory measures, including strengthened minimum wage regulation.
基金supported by U.S.National Science Foundation(Grant No.CBET-0747276)
文摘Integrated River Basin Management(IRBM)has been a long discussed way to sustainably manage water and land resources;yet,very few examples of effective IRBM are found because there is a lack of sufficient scientific support,as well as institutional accommodation,to successfully implement it.This paper overviews the major challenges with IRBM,the promising scientific approaches for the implementation of IRBM,and the areas of needed research,with considerable issues and experiences from China.It is expected that novel research will draw together disparate disciplines into an integrated scientific framework,upon which better modeling tools,stakeholder involvement,and decision-making support can be built.Cutting-edge new technologies will bring ideas of IRBM forward to theory and finally to practice.The paper will prompt scientists to undertake research to fill in the gaps in the current IRBM knowledge base and provide practitioners guidance on how to incorporate scientifically based information within the IRBM decision process.
