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The latest content from StatisticsViews.http://www.statisticsviews.comResponse Surface Methodology: Process and Product Optimization Using Designed Experiments, 4th Edition
http://www.statisticsviews.com/details/book/8898311/Response-Surface-Methodology-Process-and-Product-Optimization-Using-Designed-Exp.html
Praise for the Third Edition:
“This new third edition has been substantially rewritten and updated with new topics and material, new examples and exercises, and to more fully illustrate modern applications of RSM.”
- Zentralblatt Math
Featuring a substantial revision, the Fourth Edition of Response Surface Methodology: Process and Product Optimization Using Designed Experiments presents updated coverage on the underlying theory and applicationsof response surface methodology (RSM). Providing...]]>2016-02-25T00:00:00ZAnalysis of Poverty Data by Small Area Estimation
http://www.statisticsviews.com/details/book/8898011/Analysis-of-Poverty-Data-by-Small-Area-Estimation.html
A comprehensive guide to implementing SAE methods for poverty studies and poverty mapping
There is an increasingly urgent demand for poverty and living conditions data, in relation to local areas and/or subpopulations. Policy makers and stakeholders need indicators and maps of poverty and living conditions in order to formulate and implement policies, (re)distribute resources, and measure the effect of local policy actions.
Small Area Estimation (SAE) plays a crucial role in producing statistically sound...]]>2016-02-12T00:00:00ZThe Probabilistic Method, 4th Edition
http://www.statisticsviews.com/details/book/8898301/The-Probabilistic-Method-4th-Edition.html
Praise for the Third Edition
“Researchers of any kind of extremal combinatorics or theoretical computer science will welcome the new edition of this book.”
- MAA Reviews
Maintaining a standard of excellence that establishes The Probabilistic Method as the leading reference on probabilistic methods in combinatorics, the Fourth Edition continues to feature a clear writing style, illustrative examples, and illuminating exercises. The new edition includes numerous updates to reflect the most recent...]]>2016-02-12T00:00:00ZPrinciples of Mathematics: A Primer
http://www.statisticsviews.com/details/book/8898271/Principles-of-Mathematics-A-Primer.html
Presents a uniquely balanced approach that bridges introductory and advanced topics in modern mathematics
An accessible treatment of the fundamentals of modern mathematics, Principles of Mathematics: A Primer provides a unique approach to introductory andadvanced mathematical topics. The book features six main subjects, whichcan be studied independently or in conjunction with each other including: settheory; mathematical logic; proof theory; group theory; theory of functions; andlinear algebra.
The author...]]>2016-02-08T00:00:00ZModels for Life: An Introduction to Discrete Mathematical Modeling with Microsoft Office Excel
http://www.statisticsviews.com/details/book/8898241/Models-for-Life-An-Introduction-to-Discrete-Mathematical-Modeling-with-Microsoft.html
Features an authentic and engaging approach to mathematical modeling driven by real-world applications
With a focus on mathematical models based on real and current data, Models for Life: An Introduction to Discrete Mathematical Modeling with Microsoft Office Excel guides readers in the solution of relevant, practical problems by introducing both mathematical and Excel techniques.
The book begins with a step-by-step introduction to discrete dynamical systems, which are mathematical models that describe...]]>2016-02-08T00:00:00ZQuantifying Animal Trajectories Using Spatial Aggregation and Sequence Analysis: A Case Study of Differentiating Trajectories of Multiple Species
http://www.statisticsviews.com/details/journalArticle/8907961/Quantifying-Animal-Trajectories-Using-Spatial-Aggregation-and-Sequence-Analysis-.html
The increasing availability of telemetry data with high spatial and temporal resolution promises to greatly advance scientific
understandings of the movement patterns of individual organisms across space and time. The amount of data provided by such
methods, however, can be challenging to analyze and interpret. In this study, we present a new approach for analyzing animal
movements that aggregates telemetry locations into spatial clusters...]]>2016-02-06T03:22:28ZThe SpatialARMED Framework: Handling Complex Spatial Components in Spatial Association Rule Mining
http://www.statisticsviews.com/details/journalArticle/8907951/The-SpatialARMED-Framework-Handling-Complex-Spatial-Components-in-Spatial-Associ.html
Recent research has identified spatial association rule (SAR) mining as a promising technique for geographic pattern mining
and knowledge discovery. Nevertheless, important spatial components embedded in the studied phenomenon, in particular complex
spatial functional relations such as neighborhood effects and spatial spillover effects have largely been neglected. This
article unravels this specific problem to enhance the effective...]]>2016-02-06T02:38:51ZElementary Financial Derivatives: An interview with author Jana Sacks
http://www.statisticsviews.com/details/feature/8902601/Elementary-Financial-Derivatives-An-interview-with-author-Jana-Sacks.html
Towards the end of last year, Wiley was proud to publish Elementary Financial Derivatives: A Guide to Training and Valuation with Applications by Jana Sacks.
Written as an accessible and appealing introduction to financial derivatives, Elementary Financial Derivatives: A Guide to Trading and Valuation with Applications provides the necessary techniques for teaching and learning complex valuation techniques. Filling the current gap in financial engineering literature, the book emphasizes an...]]>2016-02-05T15:16:00ZEstimation of sparse directed acyclic graphs for multivariate counts data
http://www.statisticsviews.com/details/journalArticle/8903371/Estimation-of-sparse-directed-acyclic-graphs-for-multivariate-counts-data.html
Summary
The next‐generation sequencing data, called high‐throughput sequencing data, are recorded as count data, which are generally
far from normal distribution. Under the assumption that the count data follow the Poisson
log
‐normal distribution, this article provides an
L
1
...]]>2016-02-05T14:37:23ZTutorial: Parallel Computing of Simulation Models for Risk Analysis
http://www.statisticsviews.com/details/journalArticle/8903351/Tutorial-Parallel-Computing-of-Simulation-Models-for-Risk-Analysis.html
Simulation models are widely used in risk analysis to study the effects of uncertainties on outcomes of interest in complex
problems. Often, these models are computationally complex and time consuming to run. This latter point may be at odds with
time‐sensitive evaluations or may limit the number of parameters that are considered. In this article, we give an introductory
tutorial focused on parallelizing simulation code to better leverage...]]>2016-02-05T12:27:07Z