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The latest content from StatisticsViews.http://www.statisticsviews.comMatrix Algebra Useful for Statistics, 2nd Edition
http://www.statisticsviews.com/details/book/10549927/Matrix-Algebra-Useful-for-Statistics-2nd-Edition.html
A thoroughly updated guide to matrix algebra and it uses in statistical analysis and features SAS®, MATLAB®, and R throughout
This Second Edition addresses matrix algebra that is useful in the statistical analysis of data as well as within statistics as a whole. The material is presented in an explanatory style rather than a formal theorem-proof format and is self-contained. Featuring numerous applied illustrations, numerical examples, and exercises, the book has been updated to include the use of...]]>2017-07-03T00:00:00ZStochastic Differential Equations: An Introduction with...
http://www.statisticsviews.com/details/book/10549967/Stochastic-Differential-Equations-An-Introduction-with-Applications-in-Populatio.html
A beginner’s guide to stochastic growth modeling
The chief advantage of stochastic growth models over deterministic models is that they combine both deterministic and stochastic elements of dynamic behaviors, such as weather, natural disasters, market fluctuations, and epidemics. This makes stochastic modeling a powerful tool in the hands of practitioners in fields for which population growth is a critical determinant of outcomes.
However, the background requirements for studying SDEs can be daunting...]]>2017-06-09T00:00:00ZIntroduction to Quantitative Data Analysis in the Behavioral...
http://www.statisticsviews.com/details/book/10549968/Introduction-to-Quantitative-Data-Analysis-in-the-Behavioral-and-Social-Sciences.html
Guides readers through the quantitative data analysis process including contextualizing data within a research situation, connecting data to the appropriate statistical tests, and drawing valid conclusions
Introduction to Quantitative Data Analysis in the Behavioral and Social Sciences presents a clear and accessible introduction to the basics of quantitative data analysis and focuses on how to use statistical tests as a key tool for analyzing research data. The book presents the entire data analysis...]]>2017-06-09T00:00:00ZTime Series Analysis: Nonstationary and Noninvertible...
http://www.statisticsviews.com/details/book/10549966/Time-Series-Analysis-Nonstationary-and-Noninvertible-Distribution-Theory-2nd-Edi.html
Reflects the developments and new directions in the field since the publication of the first successful edition and contains a complete set of problems and solutions
This revised and expanded edition reflects the developments and new directions in the field since the publication of the first edition. In particular, sections on nonstationary panel data analysis and a discussion on the distinction between deterministic and stochastic trends have been added. Three new chapters on long-memory discrete-time and...]]>2017-06-09T00:00:00ZAn Introductory Course in Summability Theory
http://www.statisticsviews.com/details/book/10549948/An-Introductory-Course-in-Summability-Theory.html
An introductory course in summability theory for students, researchers, physicists, and engineers
In creating this book, the authors’ intent was to provide graduate students, researchers, physicists, and engineers with a reasonable introduction to summability theory. Over the course of nine chapters, the authors cover all of the fundamental concepts and equations informing summability theory and its applications, as well as some of its lesser known aspects. Following a brief introduction to the...]]>2017-06-07T14:34:00ZStatistical Intervals: A Guide for Practitioners and...
http://www.statisticsviews.com/details/book/10549963/Statistical-Intervals-A-Guide-for-Practitioners-and-Researchers-2nd-Edition.html
Describes statistical intervals to quantify sampling uncertainty,focusing on key application needs and recently developed methodology in an easy-to-apply format
Statistical intervals provide invaluable tools for quantifying sampling uncertainty. The widely hailed first edition, published in 1991, described the use and construction of the most important statistical intervals. Particular emphasis was given to intervals—such as prediction intervals, tolerance intervals and confidence intervals on...]]>2017-06-06T00:00:00ZApplied Mathematics for the Analysis of Biomedical Data:...
http://www.statisticsviews.com/details/book/10549969/Applied-Mathematics-for-the-Analysis-of-Biomedical-Data-Models-Methods-and-MATLA.html
Features a practical approach to the analysis of biomedical data via mathematical methods and provides a MATLAB® toolbox for the collection, visualization, and evaluation of experimental and real-life data
Applied Mathematics for the Analysis of Biomedical Data: Models, Methods, and MATLAB® presents a practical approach to the task that biological scientists face when analyzing data. The primary focus is on the application of mathematical models and scientific computing methods to provide...]]>2017-05-26T00:00:00ZBanking Systems Simulation: Theory, Practice, and...
http://www.statisticsviews.com/details/book/10549965/Banking-Systems-Simulation-Theory-Practice-and-Application-of-Modeling-Shocks-Lo.html
Presents information sources and methodologies for modeling and simulating banking system stability
Combining both academic and institutional knowledge and experience, Banking Systems Simulation: Theory, Practice, and Application of Modeling Shocks, Losses, and Contagion presents banking system risk modeling clearly within a theoretical framework. Written from the global financial perspective, the book explores single bank risk, common bank exposures, and contagion, and how these apply on a systemic level....]]>2017-05-19T00:00:00ZIntroduction to Bayesian Estimation and Copula Models of...
http://www.statisticsviews.com/details/book/10549972/Introduction-to-Bayesian-Estimation-and-Copula-Models-of-Dependence.html
Presents an introduction to Bayesian statistics, presents an emphasis on Bayesian methods (prior and posterior), Bayes estimation, prediction, MCMC,Bayesian regression, and Bayesian analysis of statistical modelsof dependence, and features a focus on copulas for risk management
Introduction to Bayesian Estimation and Copula Models of Dependence emphasizes the applications of Bayesian analysis to copula modeling and equips readers with the tools needed to implement the procedures of Bayesian estimation in...]]>2017-05-12T00:00:00ZImplementation of Large-Scale Education Assessments
http://www.statisticsviews.com/details/book/10549955/Implementation-of-Large-Scale-Education-Assessments.html
Presents a comprehensive treatment of issues related to the inception, design, implementation and reporting of large-scale education assessments.
In recent years many countries have decided to become involved in international educational assessments to allow them to ascertain the strengths and weaknesses of their student populations. Assessments such as the OECD's Programme for International Student Assessment (PISA), the IEA's Trends in Mathematics and Science Study (TIMSS) and Progress in International...]]>2017-04-21T00:00:00Z