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ENVIRONMENTAL STATISTICS AND HUMAN ECOLOGY
Gheorghe S?VOIU,Constantin MANEA
Revista Roman? de Statistic? , 2011,
Abstract: A complex statistical overview of the economy in a circumstantial manner remains that of the perennial hexagon of major balances, and it is presented in the introduction of thiss paper. As can be seen, the environment (ecosphere) or the global equilibrium indicators are a very important signal for the cyclical imbalances and economic developments, and can be significated as indicators of survival (environmental indicators represent a extended category of statistical indicators, from the statistical indicators on protected areas, water resources provided under the degree of development, the water sources and watersheds, surface water quality in watersheds and quality classes, the defoliation the main tree species and all ages, classes of defoliation, to the expenditures for environmental protection). In the first section of the paper some of the major European environmental statistical indicators are detailed, and in the second part the correspondent national statistical indicators are presented through comparision and exposed to a confrontation with the E.U. level, and a final remark underlines the growing importance of environmental statistics and human ecology.
Nonsmooth optimal regulation and discontinuous stabilization  [PDF]
A. Bacciotti,F. Ceragioli
Abstract and Applied Analysis , 2003, DOI: 10.1155/s1085337503304014
Abstract: For affine control systems, we study the relationship between an optimal regulation problem on the infinite horizon and stabilizability. We are interested in thecase the value function of the optimal regulation problem is not smooth and feedback laws involved in stabilizability may be discontinuous.
Environmental Accounts in the Czech Statistics  [PDF]
Miloslava Vesela
Statistika : Statistics and Economy Journal , 2013,
Abstract: European environmental economic accounts are built in the Czech Republic by the Czech Statistical Office (CSO). This article summarizes the work which has been performed by the CSO over the last decade to provide necessary data for environmental economic accounts. The work was commenced in 2003, when the Environmental protection expenditure project was carried out. This was followed by NAMEA air emissions and Material flow accounts projects in 2005, and by Environmental goods and services sector and Environmental taxes projects, finished in 2011. The article describes data sources and methods that were used to provide indicators of above mentioned accounts. Some examples of the use of data are presented in the form of charts or tables.
Optimal State Discrimination Using Particle Statistics  [PDF]
S. Bose,A. Ekert,Y. Omar,N. Paunkovic,V. Vedral
Physics , 2003, DOI: 10.1103/PhysRevA.68.052309
Abstract: We present an application of particle statistics to the problem of optimal ambiguous discrimination of quantum states. The states to be discriminated are encoded in the internal degrees of freedom of identical particles, and we use the bunching and antibunching of the external degrees of freedom to discriminate between various internal states. We show that we can achieve the optimal single-shot discrimination probability using only the effects of particle statistics. We discuss interesting applications of our method to detecting entanglement and purifying mixed states. Our scheme can easily be implemented with the current technology.
Modified frequency computation method for optimal environmental flows
Dong Zhen-Hui,Yang Xiao-Hua,Guo Ya-Nan,Mei Ying
Thermal Science , 2012, DOI: 10.2298/tsci1205539d
Abstract: The paper describes a modified frequency computation method to calculate the optimal environmental flows. This method was used to design monthly environmental flows in Lancang river. The environmental flows calculated by the method are compared with those by the ecological flow method and the Tennant method, revealing its effectiveness.
Environmental protection and traffic regulation in Slovenia  [PDF]
Alja? Plevnik
Urbani Izziv , 1998,
Abstract: The article summarises the proposed chapter on traffic in the National programme for environmental protection. The main theme focuses on the suggested goals and measures to reach sustainable development in Slovenia. The goals and measures are derived from the current situation and traffic development trends and their influence on the environment, from international guidelines and the current Slovene policies.
Optimal and fast detection of spatial clusters with scan statistics  [PDF]
Guenther Walther
Statistics , 2010, DOI: 10.1214/09-AOS732
Abstract: We consider the detection of multivariate spatial clusters in the Bernoulli model with $N$ locations, where the design distribution has weakly dependent marginals. The locations are scanned with a rectangular window with sides parallel to the axes and with varying sizes and aspect ratios. Multivariate scan statistics pose a statistical problem due to the multiple testing over many scan windows, as well as a computational problem because statistics have to be evaluated on many windows. This paper introduces methodology that leads to both statistically optimal inference and computationally efficient algorithms. The main difference to the traditional calibration of scan statistics is the concept of grouping scan windows according to their sizes, and then applying different critical values to different groups. It is shown that this calibration of the scan statistic results in optimal inference for spatial clusters on both small scales and on large scales, as well as in the case where the cluster lives on one of the marginals. Methodology is introduced that allows for an efficient approximation of the set of all rectangles while still guaranteeing the statistical optimality results described above. It is shown that the resulting scan statistic has a computational complexity that is almost linear in $N$.
Analysis of Industrial Transfer Mechanism Based on Environmental Regulation
Wen-Bin Peng,Yin-Hua Tian,Guo-Cheng Xiang,Chang-E Kuang
International Business Research , 2012, DOI: 10.5539/ibr.v5n2p173
Abstract: Based on outcomes of existing researches, This paper discussed capital mobility in condition of monopolistic competition and transaction costs which be decided by cost of environmental regulation, also analyzed new economic geography model of industrial transfer. After derivation and analysis of model, we find that in short term, industrial transfer of different regions is related to transaction costs due to environmental regulations, which means lower transaction costs and higher trade freedom can promote industrial transfer; While in long term, equilibrium point of industrial transfer changes with change of different initial endowment of capital and labor of two regions.
VAR analysis of foreign direct investment and environmental regulation: China's case  [PDF]
Wen-Bin Peng,Kun Tian,Yin-Hua Tian,Guo-Cheng Xiang
Business and Economic Horizons , 2011,
Abstract: This paper employs impulse response function of VAR model and the estimation variance decomposition method to investigate the two-way dynamic relationship between environmental regulation and FDI during 1985 to 2009. The result of generalized impulse response shows the impact effects of environmental regulation exerting to FDI become less and less in long-term, which verifies “hypothesis of pollution heaven”. The inverse U-shape curve of “environmental regulation - FDI” depends on the choice of regulation indicators. Furthermore, the positive impulse response shows the inflows of FDI would cause the deterioration of ecology and the intervene of governments, which gives pressure to the transformation of environmental regulation standard.
Concurrent learning-based approximate optimal regulation  [PDF]
Rushikesh Kamalapurkar,Patrick Walters,Warren Dixon
Mathematics , 2013,
Abstract: In deterministic systems, reinforcement learning-based online approximate optimal control methods typically require a restrictive persistence of excitation (PE) condition for convergence. This paper presents a concurrent learning-based solution to the online approximate optimal regulation problem that eliminates the need for PE. The development is based on the observation that given a model of the system, the Bellman error, which quantifies the deviation of the system Hamiltonian from the optimal Hamiltonian, can be evaluated at any point in the state space. Further, a concurrent learning-based parameter identifier is developed to compensate for parametric uncertainty in the plant dynamics. Uniformly ultimately bounded (UUB) convergence of the system states to the origin, and UUB convergence of the developed policy to the optimal policy are established using a Lyapunov-based analysis, and simulations are performed to demonstrate the performance of the developed controller.
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