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EnvStats

Author : Steven P. Millard
Publisher : Springer Science & Business Media
ISBN 13 : 1461484561
Total Pages : 305 pages
Book Rating : 4.4/5 (614 download)

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Book Synopsis EnvStats by : Steven P. Millard

Download or read book EnvStats written by Steven P. Millard and published by Springer Science & Business Media. This book was released on 2013-10-16 with total page 305 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book describes EnvStats, a new comprehensive R package for environmental statistics and the successor to the S-PLUS module EnvironmentalStats for S-PLUS (first released in 1997). EnvStats and R provide an open-source set of powerful functions for performing graphical and statistical analyses of environmental data, bringing major environmental statistical methods found in the literature and regulatory guidance documents into one statistical package, along with an extensive hypertext help system that explains what these methods do, how to use these methods, and where to find them in the environmental statistics literature. EnvStats also includes numerous built-in data sets from regulatory guidance documents and the environmental statistics literature. This book shows how to use EnvStats and R to easily: * graphically display environmental data * plot probability distributions * estimate distribution parameters and construct confidence intervals on the original scale for commonly used distributions such as the lognormal and gamma, as well as do this nonparametrically * estimate and construct confidence intervals for distribution percentiles or do this nonparametrically (e.g., to compare to an environmental protection standard) * perform and plot the results of goodness-of-fit tests * compute optimal Box-Cox data transformations * compute prediction limits and simultaneous prediction limits (e.g., to assess compliance at multiple sites for multiple constituents) * perform nonparametric estimation and test for seasonal trend (even in the presence of correlated observations) * perform power and sample size computations and create companion plots for sampling designs based on confidence intervals, hypothesis tests, prediction intervals, and tolerance intervals * deal with non-detect (censored) data * perform Monte Carlo simulation and probabilistic risk assessment * reproduce specific examples in EPA guidance documents EnvStats combined with other R packages (e.g., for spatial analysis) provides the environmental scientist, statistician, researcher, and technician with tools to “get the job done!”

EnvironmentalStats for S-Plus

Author : Steven P. Millard
Publisher : Springer Science & Business Media
ISBN 13 : 1468404601
Total Pages : 386 pages
Book Rating : 4.4/5 (684 download)

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Book Synopsis EnvironmentalStats for S-Plus by : Steven P. Millard

Download or read book EnvironmentalStats for S-Plus written by Steven P. Millard and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 386 pages. Available in PDF, EPUB and Kindle. Book excerpt: ENVIRONMENTALSTATS for S-PLUS, a new add-on module to S-PLUS, is the first comprehensive software package for environmental scientists, engineers, and regulators. ENVIRONMENTALSTATS for S-PLUS provides a set of powerful yet simple-to-use functions for performing graphical and statistical analyses of environmental data, including parameter and quantile estimation, methods for dealing with non-detects, power and sample size calculations, prediction and tolerance intervals, and probabilistic risk assessment. ENVIRONMENTALSTATS for S-PLUS includes an extensive hyptertext help system that explains methods from the environmental literature and regulatory guidance documents, along with a glossary of commonly used statistical and environmental terms. This users manual provides the documentation for Versions 1.0 and 1.1 of the ENVIRONMENTALSTATS for S-PLUS module. Version 1.0 works under S-PLUS 3.3/3.4 and Version 1.1 works under S-PLUS 4.0.

An Introduction to Statistical Concepts

Author : Debbie L. Hahs-Vaughn
Publisher : Routledge
ISBN 13 : 1317228731
Total Pages : 1187 pages
Book Rating : 4.3/5 (172 download)

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Book Synopsis An Introduction to Statistical Concepts by : Debbie L. Hahs-Vaughn

Download or read book An Introduction to Statistical Concepts written by Debbie L. Hahs-Vaughn and published by Routledge. This book was released on 2020-02-03 with total page 1187 pages. Available in PDF, EPUB and Kindle. Book excerpt: The new edition of An Introduction to Statistical Concepts is designed to help students really understand statistical concepts, the situations in which they can be used, and how to apply them to data. Hahs-Vaughn and Lomax discuss the most popular, along with many of the lesser-known, procedures and models, whilst also exploring nonparametric procedures used when standard assumptions are violated. They provide in-depth coverage of testing assumptions and highlight several online tools for computing statistics (e.g., effect sizes and their confidence intervals and power). This comprehensive, flexible, and accessible text includes a new chapter on mediation and moderation; expanded coverage of effect sizes; and discussions of sensitivity, specificity, false positive, and false negative, along with using the receiver operator characteristic (ROC) curve. In addition to instructions and screen shots for using SPSS, new to this edition is annotated script for using R. This book, noted for its crystal-clear explanations, and its inclusion of only the most crucial equations, is an invaluable resource for students undertaking a course in statistics in any number of social science and behavioral disciplines—from education, business, communication, exercise science, psychology, sociology and more.

Statistical Analysis with R For Dummies

Author : Joseph Schmuller
Publisher : John Wiley & Sons
ISBN 13 : 1119337062
Total Pages : 467 pages
Book Rating : 4.1/5 (193 download)

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Book Synopsis Statistical Analysis with R For Dummies by : Joseph Schmuller

Download or read book Statistical Analysis with R For Dummies written by Joseph Schmuller and published by John Wiley & Sons. This book was released on 2017-03-20 with total page 467 pages. Available in PDF, EPUB and Kindle. Book excerpt: Understanding the world of R programming and analysis has never been easier Most guides to R, whether books or online, focus on R functions and procedures. But now, thanks to Statistical Analysis with R For Dummies, you have access to a trusted, easy-to-follow guide that focuses on the foundational statistical concepts that R addresses—as well as step-by-step guidance that shows you exactly how to implement them using R programming. People are becoming more aware of R every day as major institutions are adopting it as a standard. Part of its appeal is that it's a free tool that's taking the place of costly statistical software packages that sometimes take an inordinate amount of time to learn. Plus, R enables a user to carry out complex statistical analyses by simply entering a few commands, making sophisticated analyses available and understandable to a wide audience. Statistical Analysis with R For Dummies enables you to perform these analyses and to fully understand their implications and results. Gets you up to speed on the #1 analytics/data science software tool Demonstrates how to easily find, download, and use cutting-edge community-reviewed methods in statistics and predictive modeling Shows you how R offers intel from leading researchers in data science, free of charge Provides information on using R Studio to work with R Get ready to use R to crunch and analyze your data—the fast and easy way!

OECD Development Pathways Multi-dimensional Review of Lao PDR Financing Sustainable Development

Author : OECD
Publisher : OECD Publishing
ISBN 13 : 9264327789
Total Pages : 330 pages
Book Rating : 4.2/5 (643 download)

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Book Synopsis OECD Development Pathways Multi-dimensional Review of Lao PDR Financing Sustainable Development by : OECD

Download or read book OECD Development Pathways Multi-dimensional Review of Lao PDR Financing Sustainable Development written by OECD and published by OECD Publishing. This book was released on 2024-06-06 with total page 330 pages. Available in PDF, EPUB and Kindle. Book excerpt: Lao People’s Democratic Republic (Lao PDR) has made significant headway on its development path over the past three decades. The country’s sustained economic growth has been led by booming commodity exports and substantial inflows of external financing. Many Laotians have seen significant improvements in their well-being. Poverty has declined as household income has increased, and many important development goals in education and health have been achieved. In the face of macroeconomic challenges, a shift from commodity-driven growth to a more inclusive prosperity paradigm that emphasises the creation of broad-based opportunities, human capital development and green sustainability can unlock Lao PDR’s future development. This report presents priorities for overcoming the country’s current fiscal constraints and finding ways to fund this shift. Recommendations address strengthening Lao PDR’s sustainable finance and debt management, revenue generation and tax reform, investment promotion, and data capacity in order to tap into green finance mechanisms.

Foundations of Statistics for Data Scientists

Author : Alan Agresti
Publisher : CRC Press
ISBN 13 : 1000462919
Total Pages : 486 pages
Book Rating : 4.0/5 (4 download)

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Book Synopsis Foundations of Statistics for Data Scientists by : Alan Agresti

Download or read book Foundations of Statistics for Data Scientists written by Alan Agresti and published by CRC Press. This book was released on 2021-11-22 with total page 486 pages. Available in PDF, EPUB and Kindle. Book excerpt: Foundations of Statistics for Data Scientists: With R and Python is designed as a textbook for a one- or two-term introduction to mathematical statistics for students training to become data scientists. It is an in-depth presentation of the topics in statistical science with which any data scientist should be familiar, including probability distributions, descriptive and inferential statistical methods, and linear modeling. The book assumes knowledge of basic calculus, so the presentation can focus on "why it works" as well as "how to do it." Compared to traditional "mathematical statistics" textbooks, however, the book has less emphasis on probability theory and more emphasis on using software to implement statistical methods and to conduct simulations to illustrate key concepts. All statistical analyses in the book use R software, with an appendix showing the same analyses with Python. The book also introduces modern topics that do not normally appear in mathematical statistics texts but are highly relevant for data scientists, such as Bayesian inference, generalized linear models for non-normal responses (e.g., logistic regression and Poisson loglinear models), and regularized model fitting. The nearly 500 exercises are grouped into "Data Analysis and Applications" and "Methods and Concepts." Appendices introduce R and Python and contain solutions for odd-numbered exercises. The book's website has expanded R, Python, and Matlab appendices and all data sets from the examples and exercises.

M-statistics

Author : Eugene Demidenko
Publisher : John Wiley & Sons
ISBN 13 : 1119891795
Total Pages : 244 pages
Book Rating : 4.1/5 (198 download)

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Book Synopsis M-statistics by : Eugene Demidenko

Download or read book M-statistics written by Eugene Demidenko and published by John Wiley & Sons. This book was released on 2023-08-22 with total page 244 pages. Available in PDF, EPUB and Kindle. Book excerpt: M-STATISTICS A comprehensive resource providing new statistical methodologies and demonstrating how new approaches work for applications M-statistics introduces a new approach to statistical inference, redesigning the fundamentals of statistics, and improving on the classical methods we already use. This book targets exact optimal statistical inference for a small sample under one methodological umbrella. Two competing approaches are offered: maximum concentration (MC) and mode (MO) statistics combined under one methodological umbrella, which is why the symbolic equation M=MC+MO. M-statistics defines an estimator as the limit point of the MC or MO exact optimal confidence interval when the confidence level approaches zero, the MC and MO estimator, respectively. Neither mean nor variance plays a role in M-statistics theory. Novel statistical methodologies in the form of double-sided unbiased and short confidence intervals and tests apply to major statistical parameters: Exact statistical inference for small sample sizes is illustrated with effect size and coefficient of variation, the rate parameter of the Pareto distribution, two-sample statistical inference for normal variance, and the rate of exponential distributions. M-statistics is illustrated with discrete, binomial, and Poisson distributions. Novel estimators eliminate paradoxes with the classic unbiased estimators when the outcome is zero. Exact optimal statistical inference applies to correlation analysis including Pearson correlation, squared correlation coefficient, and coefficient of determination. New MC and MO estimators along with optimal statistical tests, accompanied by respective power functions, are developed. M-statistics is extended to the multidimensional parameter and illustrated with the simultaneous statistical inference for the mean and standard deviation, shape parameters of the beta distribution, the two-sample binomial distribution, and finally, nonlinear regression. Our new developments are accompanied by respective algorithms and R codes, available at GitHub, and as such readily available for applications. M-statistics is suitable for professionals and students alike. It is highly useful for theoretical statisticians and teachers, researchers, and data science analysts as an alternative to classical and approximate statistical inference.

Business Revolution in a Digital Era

Author : Alina Mihaela Dima
Publisher : Springer Nature
ISBN 13 : 3030599728
Total Pages : 416 pages
Book Rating : 4.0/5 (35 download)

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Book Synopsis Business Revolution in a Digital Era by : Alina Mihaela Dima

Download or read book Business Revolution in a Digital Era written by Alina Mihaela Dima and published by Springer Nature. This book was released on 2021-01-04 with total page 416 pages. Available in PDF, EPUB and Kindle. Book excerpt: This proceedings volume presents a selection of the best papers from the 14th International Conference on Business Excellence, Business Revolution in the Digital Era (ICBE 2020), held in Bucharest, Romania. The respective papers share the latest findings and perspectives on innovation in a turbulent business environment, and on improvements in economic, societal and technological structures and processes to help reach major sustainability goals.

R All-in-One For Dummies

Author : Joseph Schmuller
Publisher : John Wiley & Sons
ISBN 13 : 111998369X
Total Pages : 695 pages
Book Rating : 4.1/5 (199 download)

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Book Synopsis R All-in-One For Dummies by : Joseph Schmuller

Download or read book R All-in-One For Dummies written by Joseph Schmuller and published by John Wiley & Sons. This book was released on 2023-02-07 with total page 695 pages. Available in PDF, EPUB and Kindle. Book excerpt: A deep dive into the programming language of choice for statistics and data With R All-in-One For Dummies, you get five mini-books in one, offering a complete and thorough resource on the R programming language and a road map for making sense of the sea of data we’re all swimming in. Maybe you’re pursuing a career in data science, maybe you’re looking to infuse a little statistics know-how into your existing career, or maybe you’re just R-curious. This book has your back. Along with providing an overview of coding in R and how to work with the language, this book delves into the types of projects and applications R programmers tend to tackle the most. You’ll find coverage of statistical analysis, machine learning, and data management with R. Grasp the basics of the R programming language and write your first lines of code Understand how R programmers use code to analyze data and perform statistical analysis Use R to create data visualizations and machine learning programs Work through sample projects to hone your R coding skill This is an excellent all-in-one resource for beginning coders who'd like to move into the data space by knowing more about R.

Data Analytics for Process Engineers

Author : Daniela Galatro
Publisher : Springer Nature
ISBN 13 : 303146866X
Total Pages : 151 pages
Book Rating : 4.0/5 (314 download)

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Book Synopsis Data Analytics for Process Engineers by : Daniela Galatro

Download or read book Data Analytics for Process Engineers written by Daniela Galatro and published by Springer Nature. This book was released on 2024-01-20 with total page 151 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides an industry-oriented data analytics approach for process engineers, including data acquisition methods and sources, exploratory data analysis and sensitivity analysis, data-based modelling for prediction, data-based modelling for monitoring and control, and data-based optimization of processes. While many of the current data analytics books target business-related problems, the rationale for this book is a specific need to understand and select applicable data analytics approaches pragmatically to analyze process engineering–related problems; this tailored solution for engineers gets amalgamated with governing equations, and in several cases, with the physical understanding of the phenomenon being analyzed. We also consider this book strategically conceived to help map Education 4.0 with Industry 4.0 since it can support undergraduate and graduate students to gain valuable and applicable data analytics stills that can be further used in their workplace. Moreover, it can be used as a reference book for professionals, a quick reference to data analytics tools that can facilitate and/or optimize their process engineering tasks.

Environmental Concerns and Sustainable Development

Author : Vertika Shukla
Publisher : Springer
ISBN 13 : 9811358893
Total Pages : 351 pages
Book Rating : 4.8/5 (113 download)

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Book Synopsis Environmental Concerns and Sustainable Development by : Vertika Shukla

Download or read book Environmental Concerns and Sustainable Development written by Vertika Shukla and published by Springer. This book was released on 2019-07-03 with total page 351 pages. Available in PDF, EPUB and Kindle. Book excerpt: The prevailing global environmental crisis is primarily because of non-standardized parameters for environmental regulation. Unplanned expansion of economic activities, consideration for environmental conservation and several associated problems are emerging due to degradation in quality of ambient environment such as clean air, safe drinking water and quality of food, particularly in developing nations. Due to poor/casual execution of EIA protocol, newly developing countries are preferred destination for establishing pollution emitting industries, which results in degradation and depletion of natural resources. Lack of environmental policy intervention is another major attraction for establishing such industries in these nations. In order to ensure sustainable development, the highest priority issues include the monitoring and eradication of environmental problems which arise due to economic development. Initiation of any form of economic development primarily results in loss of forests and thus biodiversity, followed by deterioration in quality of air and contamination of natural resources. The worst impact of non-standardized economic development is the contamination of air, water and soil. Sustainable development ensures responsible interface with the environment to minimize the depletion or degradation of natural resources and ensure long term environmental quality. It involves integrated approaches in understanding the importance of environmental management systems and policy inventions leading to improved environmental performance. The present book is proposed to address the environmental concerns associated with economic development and approaches involved to attain sustainable economic development, which include monitoring of the quality of air, deforestation, quality of water resources, soil erosion and degradation of the natural environment.

R For College Mathematics and Statistics

Author : Thomas Pfaff
Publisher : CRC Press
ISBN 13 : 1000000141
Total Pages : 326 pages
Book Rating : 4.0/5 ( download)

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Book Synopsis R For College Mathematics and Statistics by : Thomas Pfaff

Download or read book R For College Mathematics and Statistics written by Thomas Pfaff and published by CRC Press. This book was released on 2019-04-01 with total page 326 pages. Available in PDF, EPUB and Kindle. Book excerpt: R for College Mathematics and Statistics encourages the use of R in mathematics and statistics courses. Instructors are no longer limited to ``nice'' functions in calculus classes. They can require reports and homework with graphs. They can do simulations and experiments. R can be useful for student projects, for creating graphics for teaching, as well as for scholarly work. This book presents ways R, which is freely available, can enhance the teaching of mathematics and statistics. R has the potential to help students learn mathematics due to the need for precision, understanding of symbols and functions, and the logical nature of code. Moreover, the text provides students the opportunity for experimenting with concepts in any mathematics course. Features: Does not require previous experience with R Promotes the use of R in typical mathematics and statistics course work Organized by mathematics topics Utilizes an example-based approach Chapters are largely independent of each other

Modern Statistics with R

Author : Måns Thulin
Publisher : CRC Press
ISBN 13 : 104009760X
Total Pages : 493 pages
Book Rating : 4.0/5 (4 download)

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Book Synopsis Modern Statistics with R by : Måns Thulin

Download or read book Modern Statistics with R written by Måns Thulin and published by CRC Press. This book was released on 2024-08-20 with total page 493 pages. Available in PDF, EPUB and Kindle. Book excerpt: The past decades have transformed the world of statistical data analysis, with new methods, new types of data, and new computational tools. Modern Statistics with R introduces you to key parts of this modern statistical toolkit. It teaches you: Data wrangling – importing, formatting, reshaping, merging, and filtering data in R. Exploratory data analysis – using visualisations and multivariate techniques to explore datasets. Statistical inference – modern methods for testing hypotheses and computing confidence intervals. Predictive modelling – regression models and machine learning methods for prediction, classification, and forecasting. Simulation – using simulation techniques for sample size computations and evaluations of statistical methods. Ethics in statistics – ethical issues and good statistical practice. R programming – writing code that is fast, readable, and (hopefully!) free from bugs. No prior programming experience is necessary. Clear explanations and examples are provided to accommodate readers at all levels of familiarity with statistical principles and coding practices. A basic understanding of probability theory can enhance comprehension of certain concepts discussed within this book. In addition to plenty of examples, the book includes more than 200 exercises, with fully worked solutions available at: www.modernstatisticswithr.com.

Statistical Methods in Water Resources

Author : D.R. Helsel
Publisher : Elsevier
ISBN 13 : 9780080875088
Total Pages : 546 pages
Book Rating : 4.8/5 (75 download)

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Book Synopsis Statistical Methods in Water Resources by : D.R. Helsel

Download or read book Statistical Methods in Water Resources written by D.R. Helsel and published by Elsevier. This book was released on 1993-03-03 with total page 546 pages. Available in PDF, EPUB and Kindle. Book excerpt: Data on water quality and other environmental issues are being collected at an ever-increasing rate. In the past, however, the techniques used by scientists to interpret this data have not progressed as quickly. This is a book of modern statistical methods for analysis of practical problems in water quality and water resources. The last fifteen years have seen major advances in the fields of exploratory data analysis (EDA) and robust statistical methods. The 'real-life' characteristics of environmental data tend to drive analysis towards the use of these methods. These advances are presented in a practical and relevant format. Alternate methods are compared, highlighting the strengths and weaknesses of each as applied to environmental data. Techniques for trend analysis and dealing with water below the detection limit are topics covered, which are of great interest to consultants in water-quality and hydrology, scientists in state, provincial and federal water resources, and geological survey agencies. The practising water resources scientist will find the worked examples using actual field data from case studies of environmental problems, of real value. Exercises at the end of each chapter enable the mechanics of the methodological process to be fully understood, with data sets included on diskette for easy use. The result is a book that is both up-to-date and immediately relevant to ongoing work in the environmental and water sciences.

Reusing OCL in the Definition of Imperative Languages

Author : Fabian Büttner
Publisher : Logos Verlag Berlin GmbH
ISBN 13 : 3832528113
Total Pages : 208 pages
Book Rating : 4.8/5 (325 download)

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Book Synopsis Reusing OCL in the Definition of Imperative Languages by : Fabian Büttner

Download or read book Reusing OCL in the Definition of Imperative Languages written by Fabian Büttner and published by Logos Verlag Berlin GmbH. This book was released on 2011 with total page 208 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Object Constraint Language (OCL) has proven to be a valuable ingredient for the specification of UML models. It allows to formulate logical propositions for models that typically cannot be expressed in the visual modeling paradigms of UML. A similar textual ingredient is required for the imperative specification of behavior in certain applications of UML, most prominently Executable UML models and model transformation. There is no such imperative language in the UML standard, but there are several candidates for such a language that are based on OCL for expressions. One of them is ImperativeOCL, which is part of the OMG Query, Views, Transformations (QVT) standard. However, the embedding of OCL into several of these languages is what we call a non-modular embedding. Such a non-modular embedding results in problems w. r. t. to language semantics and/or sets up obstacles for the reuse of existing OCL tools and instruments. In our work we therefore define requirements for a modular embedding of OCL into an imperative language. We introduce our language SOIL (Simple OCL-based Imperative Language) which embeds OCL in a modular way. We provide an informal description of SOIL as well as a formal definition of the language syntax and semantics, and prove its consistency and type safety. We describe applications of our approach in two fields: first, the extension of the UML-based Specification Environment (USE) by an imperative language and, second, the development of the model transformation tool XGenerator2 that has been successfully applied in several eGovernment projects. Our work makes three major contributions. First, we provide a critical review of the embedding of OCL into existing programming languages. Second, we provide a simple but already useful OCL-based imperative language with a sound and formal semantics that can be implemented out of the box using existing OCL engines. Third, our work contributes a general guideline for a safe embedding of OCL into other languages.

From Data to Decisions in Music Education Research

Author : Brian C. Wesolowski
Publisher : Taylor & Francis
ISBN 13 : 1000534677
Total Pages : 520 pages
Book Rating : 4.0/5 (5 download)

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Book Synopsis From Data to Decisions in Music Education Research by : Brian C. Wesolowski

Download or read book From Data to Decisions in Music Education Research written by Brian C. Wesolowski and published by Taylor & Francis. This book was released on 2022-02-22 with total page 520 pages. Available in PDF, EPUB and Kindle. Book excerpt: From Data to Decisions in Music Education Research provides a structured and hands-on approach to working with empirical data in the context of music education research. Using step-by-step tutorials with in-depth examples of music education data, this book draws upon concepts in data science and statistics to provide a comprehensive framework for working with a variety of data and solving data-driven problems. All of the skills presented here use the R programming language, a free, open-source statistical computing and graphics environment. Using R enables readers to refine their computational thinking abilities and data literacy skills while facilitating reproducibility, replication, and transparency of data analysis in the field. The book offers: A clear and comprehensive framework for thinking about data analysis processes in a music education context. An overview of common data structures and data types used in statistical programming and data analytics. Techniques for cleaning, preprocessing, manipulating, aggregating, and mining data in ways that facilitate organization and interpretation. Methods for summarizing and visualizing data to help identify structures, patterns, and trends within data sets. Detailed applications of descriptive, diagnostic, and predictive analytics processes. Step-by-step code for all concepts and analyses. Direct access to all data sets and R script files through the accompanying eResource. From Data to Decisions in Music Education Research offers a reference "cookbook" of code and programming recipes written with the graduate music education student in mind and breaks down data analysis processes and skills in an approachable fashion. It can be used across a wide range of graduate music education courses that rely on the application of empirical data analyses and will be useful to all music education scholars and professionals seeking to enhance their use of quantitative data.

Recent Studies on Risk Analysis and Statistical Modeling

Author : Teresa A. Oliveira
Publisher : Springer
ISBN 13 : 3319766058
Total Pages : 375 pages
Book Rating : 4.3/5 (197 download)

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Book Synopsis Recent Studies on Risk Analysis and Statistical Modeling by : Teresa A. Oliveira

Download or read book Recent Studies on Risk Analysis and Statistical Modeling written by Teresa A. Oliveira and published by Springer. This book was released on 2018-08-22 with total page 375 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides an overview of the latest developments in the field of risk analysis (RA). Statistical methodologies have long-since been employed as crucial decision support tools in RA. Thus, in the context of this new century, characterized by a variety of daily risks - from security to health risks - the importance of exploring theoretical and applied issues connecting RA and statistical modeling (SM) is self-evident. In addition to discussing the latest methodological advances in these areas, the book explores applications in a broad range of settings, such as medicine, biology, insurance, pharmacology and agriculture, while also fostering applications in newly emerging areas. This book is intended for graduate students as well as quantitative researchers in the area of RA.