Envstats

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EnvStats

Steven P. Millard
EnvStats Book PDF

Author : Steven P. Millard
Publisher : Springer Science & Business Media
Page : 305 pages
File Size : 50,8 Mb
Release : 2013-10-16
Category : Computers
ISBN : 9781461484561

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EnvStats by Steven P. Millard Pdf

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

Steven P. Millard
EnvironmentalStats for S Plus Book PDF

Author : Steven P. Millard
Publisher : Springer Science & Business Media
Page : 386 pages
File Size : 44,6 Mb
Release : 2012-12-06
Category : Mathematics
ISBN : 9781468404609

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EnvironmentalStats for S-Plus by Steven P. Millard Pdf

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

Debbie L. Hahs-Vaughn,Richard Lomax
An Introduction to Statistical Concepts Book PDF

Author : Debbie L. Hahs-Vaughn,Richard Lomax
Publisher : Routledge
Page : 1187 pages
File Size : 54,8 Mb
Release : 2020-02-03
Category : Psychology
ISBN : 9781317228738

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An Introduction to Statistical Concepts by Debbie L. Hahs-Vaughn,Richard Lomax Pdf

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 Methods in Water Resources

D.R. Helsel,R.M. Hirsch
Statistical Methods in Water Resources Book PDF

Author : D.R. Helsel,R.M. Hirsch
Publisher : Elsevier
Page : 546 pages
File Size : 47,6 Mb
Release : 1993-03-03
Category : Mathematics
ISBN : 0080875084

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Statistical Methods in Water Resources by D.R. Helsel,R.M. Hirsch Pdf

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.

Statistical Analysis with R For Dummies

Joseph Schmuller
Statistical Analysis with R For Dummies Book PDF

Author : Joseph Schmuller
Publisher : John Wiley & Sons
Page : 467 pages
File Size : 48,8 Mb
Release : 2017-03-20
Category : Computers
ISBN : 9781119337065

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Statistical Analysis with R For Dummies by Joseph Schmuller Pdf

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

OECD
OECD Development Pathways Multi dimensional Review of Lao PDR Financing Sustainable Development Book PDF

Author : OECD
Publisher : OECD Publishing
Page : 330 pages
File Size : 50,9 Mb
Release : 2024-06-06
Category : Electronic
ISBN : 9789264327788

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

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

Alan Agresti,Maria Kateri
Foundations of Statistics for Data Scientists Book PDF

Author : Alan Agresti,Maria Kateri
Publisher : CRC Press
Page : 486 pages
File Size : 41,7 Mb
Release : 2021-11-22
Category : Business & Economics
ISBN : 9781000462913

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Foundations of Statistics for Data Scientists by Alan Agresti,Maria Kateri Pdf

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

Eugene Demidenko
M statistics Book PDF

Author : Eugene Demidenko
Publisher : John Wiley & Sons
Page : 244 pages
File Size : 51,9 Mb
Release : 2023-08-22
Category : Computers
ISBN : 9781119891796

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M-statistics by Eugene Demidenko Pdf

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

Alina Mihaela Dima,Fabrizio D'Ascenzo
Business Revolution in a Digital Era Book PDF

Author : Alina Mihaela Dima,Fabrizio D'Ascenzo
Publisher : Springer Nature
Page : 416 pages
File Size : 41,9 Mb
Release : 2021-01-04
Category : Business & Economics
ISBN : 9783030599720

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Business Revolution in a Digital Era by Alina Mihaela Dima,Fabrizio D'Ascenzo Pdf

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

Joseph Schmuller
R All in One For Dummies Book PDF

Author : Joseph Schmuller
Publisher : John Wiley & Sons
Page : 695 pages
File Size : 51,7 Mb
Release : 2023-02-07
Category : Computers
ISBN : 9781119983699

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R All-in-One For Dummies by Joseph Schmuller Pdf

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

Daniela Galatro,Stephen Dawe
Data Analytics for Process Engineers Book PDF

Author : Daniela Galatro,Stephen Dawe
Publisher : Springer Nature
Page : 151 pages
File Size : 41,5 Mb
Release : 2024-01-20
Category : Science
ISBN : 9783031468667

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Data Analytics for Process Engineers by Daniela Galatro,Stephen Dawe Pdf

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

Vertika Shukla,Narendra Kumar
Environmental Concerns and Sustainable Development Book PDF

Author : Vertika Shukla,Narendra Kumar
Publisher : Springer
Page : 351 pages
File Size : 48,6 Mb
Release : 2019-07-03
Category : Science
ISBN : 9789811358890

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Environmental Concerns and Sustainable Development by Vertika Shukla,Narendra Kumar Pdf

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.

Statistics for Censored Environmental Data Using Minitab and R

Dennis R. Helsel
Statistics for Censored Environmental Data Using Minitab and R Book PDF

Author : Dennis R. Helsel
Publisher : John Wiley & Sons
Page : 344 pages
File Size : 48,6 Mb
Release : 2012-02-01
Category : Mathematics
ISBN : 9780470479889

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Statistics for Censored Environmental Data Using Minitab and R by Dennis R. Helsel Pdf

Praise for the First Edition " . . . an excellent addition to an upper-level undergraduate course on environmental statistics, and . . . a 'must-have' desk reference for environmental practitioners dealing with censored datasets." —Vadose Zone Journal Statistics for Censored Environmental Data Using Minitab® and R, Second Edition introduces and explains methods for analyzing and interpreting censored data in the environmental sciences. Adapting survival analysis techniques from other fields, the book translates well-established methods from other disciplines into new solutions for environmental studies. This new edition applies methods of survival analysis, including methods for interval-censored data to the interpretation of low-level contaminants in environmental sciences and occupational health. Now incorporating the freely available R software as well as Minitab® into the discussed analyses, the book features newly developed and updated material including: A new chapter on multivariate methods for censored data Use of interval-censored methods for treating true nondetects as lower than and separate from values between the detection and quantitation limits ("remarked data") A section on summing data with nondetects A newly written introduction that discusses invasive data, showing why substitution methods fail Expanded coverage of graphical methods for censored data The author writes in a style that focuses on applications rather than derivations, with chapters organized by key objectives such as computing intervals, comparing groups, and correlation. Examples accompany each procedure, utilizing real-world data that can be analyzed using the Minitab® and R software macros available on the book's related website, and extensive references direct readers to authoritative literature from the environmental sciences. Statistics for Censored Environmental Data Using Minitab® and R, Second Edition is an excellent book for courses on environmental statistics at the upper-undergraduate and graduate levels. The book also serves as a valuable reference for??environmental professionals, biologists, and ecologists who focus on the water sciences, air quality, and soil science.

R For College Mathematics and Statistics

Thomas Pfaff
R For College Mathematics and Statistics Book PDF

Author : Thomas Pfaff
Publisher : CRC Press
Page : 326 pages
File Size : 42,8 Mb
Release : 2019-04-01
Category : Business & Economics
ISBN : 9781000000146

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R For College Mathematics and Statistics by Thomas Pfaff Pdf

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

Måns Thulin
Modern Statistics with R Book PDF

Author : Måns Thulin
Publisher : CRC Press
Page : 493 pages
File Size : 42,5 Mb
Release : 2024-08-20
Category : Mathematics
ISBN : 9781040097601

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Modern Statistics with R by Måns Thulin Pdf

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.