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Over the last few years dance movement therapy has gained increased recognition among the health professions as an effective medium for improving mental health. The inclusion of the expressive body in treatment for mental health has been supported by research and practice in both psychotherapy and affective neuroscience. However, the inclusion of the expressive body in the mental health of dancers has received little attention up to now. More usually in dance, the body is viewed as a tool for the expression of the dance of another, manipulated and controlled for external scrutiny. This book argues that it is important to make space for the dancer''s body as container and expresser of personal emotion not only for the dancer''s mental health, but also for the development of performance presence and creativity. It will therefore be particularly useful for dance educators and students, choreographers and dancers as well as for health professionals concerned with the mental wellbeing of dancers.
Quantile regression, as introduced in Koenker and Bassett (1978), is gradually emerging as a comprehensive approach to the econometric analysis. Quantile regression estimation has not only the robustness advantages of semiparametric models which involve the distribution-free assumption but also the information extraction over whole conditional distribution. The goals of this monograph are aimed at clarifying the theoretical parts and facilitating the practical implementation of quantile regression methods. Typically, the emphasis is put on implementing quantile regression in time series models. This is because that the performance of the tests constructed for quantile regression estimators in time series has not been well explored. A comprehensive study on estimating the covariance matrix of quantile regression estimators are presented in this monograph. We also implements the quantile regression method to analyze the VaR of Nikkei 225 stock index. In short, estimation, asymptotic normality, statistical inferences and applications on quantile regression methods constitute the framework of this monograph.
Public Sector Environmental Accountability is a very new concept related to how societies and in particular governments are trying to ensure sustainable development. The main question of this research is: what are doing Australia, Mexico and United States governments about environmental accountability? The work identifies historical and theoretical development of environmental accountability concept. And provides results from a bibliographic, academic magazines, newspapers and websites research about legal framework, institutions, and procedures developed by each country to deal with accountability of environmental issues. With a very strong theoretical research text shows where it comes from? What it is? And what are the elements of a national environmental accountability system? As a comparative analysis the convergences and differences of each national system are exposed supporting data with graphs and figures. And in conclusions part, some challenges, strategies and recommendations are remarked to improve national environmental accountability systems, specially in order to deal with public sector organizations.
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