Books - StatisticsViews
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The latest content from StatisticsViews.http://www.statisticsviews.comApplied Mixed Models in Medicine, 3rd Edition
http://www.statisticsviews.com/details/book/7206381/Applied-Mixed-Models-in-Medicine-3rd-Edition.html
A fully updated edition of this key text on mixed models, focusing on applications in medical research
The application of mixed models is an increasingly popular way of analysing medical data, particularly in the pharmaceutical industry. A mixed model allows the incorporation of both fixed and random variables within a statistical analysis, enabling efficient inferences and more information to be gained from the data. There have been many recent advances in mixed modelling, particularly regarding...]]>2015-01-23T00:00:00ZFundamental Aspects of Operational Risk and Insurance...
http://www.statisticsviews.com/details/book/7206401/Fundamental-Aspects-of-Operational-Risk-and-Insurance-Analytics-and-Advances-in-.html
Two cutting-edge guides for the theories, applications, and statistical methodologies essential to operational risk and heavy tailed risk modeling
Focusing on the quantitative aspects of heavy tailed loss processes in operational risk and relevant insurance analytics, Advances in Heavy Tailed Risk Modeling: A Handbook of Operational Risk presents comprehensive coverage of the latest research on the theories and applications in risk measurement and modeling techniques. Featuring a unique balance of...]]>2015-01-16T00:00:00ZData Mining Algorithms: Explained Using R
http://www.statisticsviews.com/details/book/7206391/Data-Mining-Algorithms-Explained-Using-R.html
Data Mining Algorithms is a practical, technically-oriented guide to data mining algorithms that covers the most important algorithms for building classification, regression, and clustering models, as well as techniques used for attribute selection and transformation, model quality evaluation, and creating model ensembles. The author presents many of the important topics and methodologies widely used in data mining, whilst demonstrating the internal operation and usage of data mining algorithms using...]]>2015-01-16T00:00:00ZBreakthroughs in Decision Science and Risk Analysis
http://www.statisticsviews.com/details/book/7089681/Breakthroughs-in-Decision-Science-and-Risk-Analysis.html
Discover recent powerful advances in the theory, methods, and applications of decision and risk analysis
Focusing on recent advances and innovations in the field of decision analysis (DA), Breakthroughs in Decision Science and Risk Analysis presents theories and methods for making, improving, and learning from significant practical decisions. The book explains these new methods and important applications in an easily accessible and stimulating style for readers from multiple backgrounds, including...]]>2014-12-31T00:00:00ZFundamentals of Actuarial Mathematics, 3rd Edition
http://www.statisticsviews.com/details/book/7089691/Fundamentals-of-Actuarial-Mathematics-3rd-Edition.html
Provides a comprehensive coverage of both the deterministic and stochastic models of life contingencies, risk theory, credibility theory, multi-state models, and an introduction to modern mathematical ﬁnance.
New edition restructures the material to ﬁt into modern computational methods and provides several spreadsheet examples throughout.
Covers the syllabus for the Institute of Actuaries subject CT5, Contingencies
Includes new chapters covering stochastic investments returns,...]]>2014-12-26T00:00:00ZAn Introduction to Essential Algebraic Structures
http://www.statisticsviews.com/details/book/7089701/An-Introduction-to-Essential-Algebraic-Structures.html
A reader-friendly introduction to modern algebra with important examples from various areas of mathematicsFeaturing a clear and concise approach, An Introduction to Essential Algebraic Structures presents an integrated approach to basic concepts of modern algebra and highlights topics that play a central role in various branches of mathematics. The authors discuss key topics of abstract and modern algebra including sets, number systems, groups, rings, and fields. The book begins with an exposition of the...]]>2014-12-19T00:00:00ZStatistical Data Analytics: Foundations for Data Mining,...
http://www.statisticsviews.com/details/book/7089741/Statistical-Data-Analytics-Foundations-for-Data-Mining-Informatics-and-Knowledge.html
A comprehensive introduction to statistical methods for data mining and knowledge discovery.Applications of data mining and ‘big data’ increasingly take center stage in our modern, knowledge-driven society, supported by advances in computing power, automated data acquisition, social media development and interactive, linkable internet software. This book presents a coherent, technical introduction to modern statistical learning and analytics, starting from the core foundations of...]]>2014-12-15T00:00:00ZProbabilities: The Little Numbers That Rule Our Lives, 2nd...
http://www.statisticsviews.com/details/book/6807261/Probabilities-The-Little-Numbers-That-Rule-Our-Lives-2nd-Edition.html
Praise for the First Edition
“If there is anything you want to know, or remind yourself, about probabilities, then look no further than this comprehensive, yet wittily written and enjoyable, compendium of how to apply probability calculations in real-world situations.” — Keith Devlin, Stanford University, National Public Radio’s “Math Guy” and author of The Math Gene and The Math Instinct
From probable improbabilities to regular irregularities, Probabilities: The Little...]]>2014-12-01T00:00:00ZProbability: An Introduction with Statistical Applications,...
http://www.statisticsviews.com/details/book/6807281/Probability-An-Introduction-with-Statistical-Applications-2nd-Edition.html
Praise for the First Edition
"This is a well-written and impressively presented introduction to probability and statistics. The text throughout is highly readable, and the author makes liberal use of graphs and diagrams to clarify the theory." - The Statistician
Thoroughly updated, Probability: An Introduction with Statistical Applications, Second Edition is a comprehensive exploration of statistical data analysis as an application of probability. The new edition provides an accessible introduction...]]>2014-11-28T00:00:00ZExplorations of Mathematical Models in Biology with Maple
http://www.statisticsviews.com/details/book/6807251/Explorations-of-Mathematical-Models-in-Biology-with-Maple.html
Explore and analyze the solutions of mathematical models from diverse disciplinesAs biology increasingly depends on data, algorithms, and models, it has become necessary to use a computing language, such as the user-friendly MapleTM, to focus more on building and analyzing models as opposed to configuring tedious calculations. Explorations of Mathematical Models in Biology with Maple provides an introduction to model creation using Maple, followed by the translation, analysis, interpretation, and...]]>2014-11-28T00:00:00Z