Positivity
This book presents nine survey articles addressing topics surrounding positivity, with an emphasis on functional analysis. ...
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Posn(R) and Eisenstein Series
Posn(R) and Eisenstein Series provides an introduction, requiring minimal prerequisites, to the analysis on symmetric spaces ...
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Postmodern Analysis
“Modern Analysis” as represented in the works of the Bourbaki group or in the textbooks by Jean Dieudonn´ e is characterized ...
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Poverty and Equity
This text addresses the understanding and alleviation of poverty, inequality, and inequity using a unique and broad mix of ...
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Practical Fruits of Econophysics
Some economic phenomena are predictable and controllable, and some are impos sible to foresee. Existing economic theories ...
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Practical Mathematical Optimization
This book presents basic optimization principles and gradient-based algorithms to a general audience, in a brief and easy-to-read ...
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Practical Reporting with Ruby and Rails
Business intelligence and real–time reporting mechanisms play a major role in any of today's forward–looking business ...
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Precision Landmark Location for Machine Vision and Photogrammetry : Finding and Achieving the Maximum Possible Accuracy
The applications of image-based measurement are many and various: image-guided surgery, mobile-robot navigation, component ...
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Preferences and Similarities
The fields of similarity and preference are still broadening due to the exploration of new fields of application. This is ...
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Premiers pas en statistique
This book introduces the fundamental concepts of statistical theory and describes the methods most often used in practice. ...
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Premiers pas en statistique
This book introduces the fundamental concepts of statistical theory and describes the methods most often used in practice. ...
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Prime Numbers
Prime numbers beckon to the beginner, as the basic notion of primality is accessible even to children. Yet, some of the simplest ...
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Principal Manifolds for Data Visualization and Dimension Reduction
In 1901, Karl Pearson invented Principal Component Analysis (PCA). Since then, PCA serves as a prototype for many other tools ...
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Principles of Managerial Statistics and Data Science / Roberto Rivera
Through a statistical perspective, this book introduces readers to the topic of data science, including Big Data, data analytics, ...
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Principles of Mathematics in Operations Research
Principles of Mathematics in Operations Research is a comprehensive survey of the mathematical concepts and principles of ...
اقرأ المزيدPrinciples of Statistics for Engineers and Scientists / William Navidi
Emphasizes statistical methods and how they can be applied to problems in science and engineering. The book contains many ...
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Privacy in Statistical Databases : UNESCO Chair in Data Privacy International Conference, PSD 2008, Istanbul, Turkey, September 24-26, 2008. Proceedings
Constitutes the refereed proceedings of the International Conference on Privacy in Statistical Databases, PSD 2008, held ...
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Probabilistic Conditional Independence Structures
Conditional independence is a topic that lies between statistics and artificial intelligence. Probabilistic Conditional Independence ...
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Probabilistic Methods in Geotechnical Engineering
Soils and rocks are among the most variable of all engineering materials, and as such are highly amenable to a probabilistic ...
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Probabilistic Modeling in Bioinformatics and Medical Informatics
Probabilistic Modelling in Bioinformatics and Medical Informatics has been written for researchers and students in statistics, ...
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