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Computational Optimization, Methods and Algorithms (Studies in Computational Intelligence)
Computational Optimization, Methods and Algorithms (Studies in Computational Intelligence)

Computational optimization is an important paradigm with a wide range of applications. In virtually all branches of engineering and industry, we almost always try to optimize something - whether to minimize the cost and energy consumption, or to maximize profits, outputs, performance and efficiency. In many cases, this search for...

Statistical Analysis of Financial Data in R (Springer Texts in Statistics)
Statistical Analysis of Financial Data in R (Springer Texts in Statistics)

Although there are many books on mathematical finance, few deal with the statistical aspects of modern data analysis as applied to financial problems. This textbook fills this gap by addressing some of the most challenging issues facing financial engineers. It shows how sophisticated mathematics and modern statistical techniques can...

Hardening Azure Applications: Techniques and Principles for Building Large-Scale, Mission-Critical Applications
Hardening Azure Applications: Techniques and Principles for Building Large-Scale, Mission-Critical Applications

Build large-scale, mission-critical hardened applications on the Azure cloud platform. This 2nd edition provides information on the newer features in Azure, such as Linux extensions and supporting Azure Services such as HDInsight and SQL Server on Linux. Updated with new applications Hardening Azure Applications also discusses...

Introduction to Evolutionary Algorithms (Decision Engineering)
Introduction to Evolutionary Algorithms (Decision Engineering)
Evolutionary algorithms are becoming increasingly attractive across various disciplines, such as operations research, computer science, industrial engineering, electrical engineering, social science and economics. Introduction to Evolutionary Algorithms presents an insightful, comprehensive, and up-to-date treatment of evolutionary algorithms....
Mathematical Statistics with Resampling and R
Mathematical Statistics with Resampling and R
This book bridges the latest software applications with the benefits of modern resampling techniques

Resampling helps students understand the meaning of sampling distributions, sampling variability, P-values, hypothesis tests, and confidence intervals. This groundbreaking book shows how to apply modern resampling techniques...

Simulation-Based Algorithms for Markov Decision Processes (Communications and Control Engineering)
Simulation-Based Algorithms for Markov Decision Processes (Communications and Control Engineering)
Markov decision process (MDP) models are widely used for modeling sequential decision-making problems that arise in engineering, economics, computer science, and the social sciences.  Many real-world problems modeled by MDPs have huge state and/or action spaces, giving an opening to the curse of dimensionality and so making practical...
Programming with Data: A Guide to the S Language (Lecture Notes in Economics and)
Programming with Data: A Guide to the S Language (Lecture Notes in Economics and)
Here is a thorough and authoritative guide to the latest version of the S language and its programming environment. Programming With Data describes a new and greatly extended version of S, written by the chief designer of the language itself. It is a guide to the complete programming process, starting from simple, interactive use, and continuing...
Applied Bayesian Statistics: With R and OpenBUGS Examples (Springer Texts in Statistics)
Applied Bayesian Statistics: With R and OpenBUGS Examples (Springer Texts in Statistics)

This book is based on over a dozen years teaching a Bayesian Statistics course. The material presented here has been used by students of different levels and disciplines, including advanced undergraduates studying Mathematics and Statistics and students in graduate programs  in Statistics, Biostatistics, Engineering, Economics,...

Introduction to Statistics Through Resampling Methods and R
Introduction to Statistics Through Resampling Methods and R
A highly accessible alternative approach to basic statistics Praise for the First Edition:  "Certainly one of the most impressive little paperback 200-page introductory statistics books that I will ever see . . . it would make a good nightstand book for every statistician."?Technometrics 

Written in a
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The Discourse of Security: Language, Illiberalism and Governmentality (Postdisciplinary Studies in Discourse)
The Discourse of Security: Language, Illiberalism and Governmentality (Postdisciplinary Studies in Discourse)

This book explores how language constructs the meaning and praxis of security in the 21st century. Combining the latest critical theories in poststructuralist and political philosophy with discourse analysis techniques, it uses corpus tools to investigate four collections of documents harvested from national and...

Informal Ethnic Entrepreneurship: Future Research Paradigms for Creating Innovative Business Activity
Informal Ethnic Entrepreneurship: Future Research Paradigms for Creating Innovative Business Activity

This book presents a curated collection of research on ethnic entrepreneurship, focusing on the informal sector. The common theme of the expert contributions is that entrepreneurial motivation to start informal business is paramount to ethnic groups. In particular, the book explores the factors influencing ethnic groups to start...

Textbook of Medical Administration and Leadership
Textbook of Medical Administration and Leadership

This textbook covers all general areas of knowledge required for a trainee, generalist medical administrator, and doctor undergoing training to be a medical administrator specialist. Chapters cover all the key topics on medical administration and leadership. Some of the key topics included are: health systems and policy, health law,...

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