



  Robust Statistics: Theory and Methods (Probability and Statistics)Classical statistical techniques fail to cope well with deviations from a standard distribution. Robust statistical methods take into account these deviations while estimating the parameters of parametric models, thus increasing the accuracy of the inference. Research into robust methods is flourishing, with new methods being developed and...   The Rise and Decline of the StateThe state, which since the middle of the seventeenth century has been the most important and most characteristic of all moderninstitutions, is in decline. From Western Europe to Africa, either voluntarily or involuntarily, many existing states are either combining into larger communities or falling apart. Regardless of whether they fall apart or... 

Handbook Of Industrial Automation"…an excellent handbook on automation for manufacturing or industrial engineering."  Ergonomics in Design
"…provides the essential concepts and methods required for solving technical and managerial problems…. "…a well presented and comprehensive reference text." ...   Head First StatisticsWouldn't it be great if there were a statistics book that made histograms, probability distributions, and chi square analysis more enjoyable than going to the dentist? Head First Statistics brings this typically dry subject to life, teaching you everything you want and need to know about statistics through engaging, interactive, and...   

Signals and Boundaries: Building Blocks for Complex Adaptive Systems
Complex adaptive systems (cas), including ecosystems, governments, biological cells, and markets, are characterized by intricate hierarchical arrangements of boundaries and signals. In ecosystems, for example, niches act as semipermeable boundaries, and smells and visual patterns serve as signals; governments have departmental hierarchies...   Master Math: Probability
Master Math: Probability is a comprehensive reference guide that explains and clarifies the principles of probability in a simple, easytofollow style and format. Beginning with the most basic fundamental topics and progressing through to the more advanced, the book helps clarify probability using stepbystep procedures and solutions, along...   Inverse Problem Theory and Methods for Model Parameter Estimation‘Tarantola's book is undoubtedly the most important work on probabilistic inverse theory. It presents a complete theory where a physical parameter is represented, not by a number, but by a probability distribution.’ Klaus Mosegaard, Niels Bohr Institute
The use of actual observations to infer the properties of a... 

Real Analysis with an Introduction to Wavelets and Applications
Real Analysis is based on the real numbers, and it is naturally
involved in practical mathematics. On the other hand, it has taken on
subject matter from set theory, harmonic analysis, integration theory,
probability theory, theory of partial differential equations, etc., and
has provided these areas with important ideas and...   Rare Event Simulation using Monte Carlo MethodsIn a probabilistic model, a rare event is an event with a very small probability of occurrence. The forecasting of rare events is a formidable task but is important in many areas. For instance a catastrophic failure in a transport system or in a nuclear power plant, the failure of an information processing system in a bank, or in the communication...   Think Stats
If you know how to program, you have the skills to turn data into knowledge using the tools of probability and statistics. This concise introduction shows you how to perform statistical analysis computationally, rather than mathematically, with programs written in Python.
You'll work with a case study throughout the... 


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