With All Our Strength is the inside story of this women-led underground organization and their fight for the rights of Afghan women. Anne Brodsky, the first writer given in-depth access to visit and interview their members and operations in Afghanistan and Pakistan, shines light on the gruesome, often tragic, lives of Afghan women under some of the most brutal sexist oppression in the world.
Activists, ambassadors, and award-winning journalists offer their incisive analysis of the American occupation of Iraq in this timely collection of essays, featuring the arresting photography of Lynsey Addario. Topics include American economic interests in the war, the mainstream media coverage that made it politically feasible, escalating abuse of Muslim women by both American troops and an increasingly fundamentalist Middle East citizenry, the profiteering of multinationals like Halliburton and Bechtel, and more. A bevy of contributors includes Medea Benjamin, Kristina Borjesson, Amy Goodman, Amir Hussain, Naomi Klein, Mark LeVine, Yanar Mohammed, Viggo Mortensen, and Ambassador Joseph Wilson.
The explosive development of information science and technology puts in new problems involving statistical data analysis. These problems result from higher re quirements concerning the reliability of statistical decisions, the accuracy of math ematical models and the quality of control in complex systems. A new aspect of statistical analysis has emerged, closely connected with one of the basic questions of cynergetics: how to "compress" large volumes of experimental data in order to extract the most valuable information from data observed. De tection of large "homogeneous" segments of data enables one to identify "hidden" regularities in an object's behavior, to create mathematical models for each seg ment of homogeneity, to choose an appropriate control, etc. Statistical methods dealing with the detection of changes in the characteristics of random processes can be of great use in all these problems. These methods have accompanied the rapid growth in data beginning from the middle of our century. According to a tradition of more than thirty years, we call this sphere of statistical analysis the "theory of change-point detection. " During the last fifteen years, we have witnessed many exciting developments in the theory of change-point detection. New promising directions of research have emerged, and traditional trends have flourished anew. Despite this, most of the results are widely scattered in the literature and few monographs exist. A real need has arisen for up-to-date books which present an account of important current research trends, one of which is the theory of non parametric change--point detection.
This book covers the development of methods for detection and estimation of changes in complex systems. These systems are generally described by nonstationary stochastic models, which comprise both static and dynamic regimes, linear and nonlinear dynamics, and constant and time-variant structures of such systems. It covers both retrospective and sequential problems, particularly theoretical methods of optimal detection. Such methods are constructed and their characteristics are analyzed both theoretically and experimentally. Suitable for researchers working in change-point analysis and stochastic modelling, the book includes theoretical details combined with computer simulations and practical applications. Its rigorous approach will be appreciated by those looking to delve into the details of the methods, as well as those looking to apply them.
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