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The latest content from StatisticsViews.http://www.statisticsviews.comProbabilities: The Little Numbers That Rule Our Lives, 2nd Edition
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, 2nd Edition
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...]]>2014-11-28T00:00:00ZAdvances in Heavy Tailed Risk Modeling: A Handbook of Operational Risk
http://www.statisticsviews.com/details/book/6807231/Advances-in-Heavy-Tailed-Risk-Modeling-A-Handbook-of-Operational-Risk.html
A cutting-edge guide for the theories, applications, and statistical methodologies essential to 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 mathematical and statistical...]]>2014-11-28T00:00:00ZProbability and Stochastic Processes
http://www.statisticsviews.com/details/book/6807271/Probability-and-Stochastic-Processes.html
A comprehensive and accessible presentation of probability and stochastic processes with emphasis on key theoretical concepts and real-world applicationsWith a sophisticated approach, Probability and Stochastic Processes successfully balances theory and applications in a pedagogical and accessible format. The book’s primary focus is on key theoretical notions in probability to provide a foundation for understanding concepts and examples related to stochastic processes.Organized into two main...]]>2014-11-21T00:00:00ZAnalyzing and Modeling Spatial and Temporal Dynamics of Infectious Diseases
http://www.statisticsviews.com/details/book/6807241/Analyzing-and-Modeling-Spatial-and-Temporal-Dynamics-of-Infectious-Diseases.html
Features modern research and methodology on the spread of infectious diseases and showcases a broad range of multi-disciplinary and state-of-the-art techniques on geo-simulation, geo-visualization, remote sensing, metapopulation modeling, cloud computing, and pattern analysisGiven the ongoing risk of infectious diseases worldwide, it is crucial to develop appropriate analysis methods, models, and tools to assess and predict the spread of disease and evaluate the risk. Analyzing and Modeling Spatial and...]]>2014-11-21T00:00:00ZStatistical Machine Learning Methods to Auto-Map Landforms from Image Data
http://www.statisticsviews.com/details/feature/6877571/Statistical-Machine-Learning-Methods-to-Auto-Map-Landforms-from-Image-Data.html
It’s self-evident that, to understand the natural environmental processes of a particular locale, you must know and take account of the landforms that comprise it. That’s why landform mapping plays such a fundamental, sometimes understated role in environmental science. In recent decades, scientists of all types have taken a keen interest in climate change and in predicting its potential consequences. Governments are eager to quantify reliable predictions for future risks to coastal areas. But this type of...]]>2014-10-24T16:35:00ZPSI Pharmaceutical Statistics Journal Club: Safety and HTA Analyses
http://www.statisticsviews.com/details/news/6877241/PSI-Pharmaceutical-Statistics-Journal-Club-Safety-and-HTA-Analyses.html
The next meeting of the PSI Pharmaceutical Statistics Journal Club will take place on 25 November 2014, 2:00-3:30pm UK time.]]>2014-10-24T12:47:00ZBayesian Inference in the Social Sciences
http://www.statisticsviews.com/details/book/6586211/Bayesian-Inference-in-the-Social-Sciences.html
Presents new models, methods, and techniques and considers important real-world applications in political science, sociology, economics, marketing, and finance
Emphasizing interdisciplinary coverage, Bayesian Inference in the Social Sciences builds upon the recent growth in Bayesian methodology and examines an array of topics in model formulation, estimation, and applications. The book presents recent and trending developments in a diverse, yet closely integrated, set of research topics within the social...]]>2014-10-24T00:00:00ZOICT to host event on Exploratory Data Analysis
http://www.statisticsviews.com/details/news/6875811/OICT-to-host-event-on-Exploratory-Data-Analysis.html
The United Nations Office of Information and Communications Technology (OICT) has announced an event to be held on 10 November 2014 on Exploratory Data Analysis (EDA) in honour of John Wilder Tukey who pioneered this technique. This area of statistical research is used in almost all statistical reports. EDA has been extended to theory and applications in Computer Science (AI and Machine Learning), Data Journalism, and Data Science.]]>2014-10-23T14:23:00Z