Search Results: environmentalstats-for-s-plusÃ-Â-user-s-manual-for-version-2-0

EnvironmentalStats for S-Plus®

User’s Manual for Version 2.0

Author: Steven P. Millard

Publisher: Springer Science & Business Media

ISBN: 1461300436

Category: Science

Page: 264

View: 3157

This is the User's Manual to the software package EnvironmentalStats for S-PLUS, which is an add-on module for S-PLUS providing the first comprehensive software package for environmental scientists, engineers, and regulators. The new edition provides the documentation for Version 2.0 (which runs under S-PLUS 6.0), and includes extensive examples using real data sets.

Programming with Data

A Guide to the S Language

Author: John M. Chambers

Publisher: Springer Science & Business Media

ISBN: 9780387985039

Category: Computers

Page: 469

View: 6262

Here is a thorough and authoritative guide to the latest version of the S language and to its programming environment the premier software platform for computing with data. Programming with Data describes a new and greatly extended version of S and is written by the chief designer of the language. The book is a guide to the complete programming process, starting from simple interactive use and continuing through ambitious software projects. S is designed for computing with data-for any project in which organizing, visualizing, summarizing, or modeling data are central concerns. Its focus is on the needs of the programmer/user, and its goal is "to turn ideas into software, quickly and faithfully." S is a functional object-based language with a huge library of functions for all aspects of computing with data. Its long and enthusiastic use in statistics and applied fields has also led to many valuable libraries of user-written functions. The new version of S provides powerful class/method structure, new techniques to deal with large objects, extended interfaces to other languages and files, object-based documentation compatible with HTML, and powerful new interactive programming techniques. This version of S underlies the S-PLUS system, versions 5*0 and higher.

American Book Publishing Record

Author: N.A

Publisher: N.A


Category: Books

Page: N.A

View: 2292

Books in Print

Author: N.A

Publisher: N.A


Category: American literature

Page: N.A

View: 7522

Books in print is the major source of information on books currently published and in print in the United States. The database provides the record of forthcoming books, books in-print, and books out-of-print.


An R Package for Environmental Statistics

Author: Steven P. Millard

Publisher: Springer Science & Business Media

ISBN: 1461484561

Category: Computers

Page: 291

View: 5778

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!”

American Book Publishing Record

BPR cumulative

Author: Bowker Staff

Publisher: R. R. Bowker

ISBN: 9780835240857

Category: Reference

Page: 17426

View: 7967

Cumulative Book Index

Author: N.A

Publisher: N.A


Category: American literature

Page: N.A

View: 6364


Linear Models in Statistics

Author: N. H. Bingham,John M. Fry

Publisher: Springer Science & Business Media

ISBN: 9781848829695

Category: Mathematics

Page: 284

View: 3498

Regression is the branch of Statistics in which a dependent variable of interest is modelled as a linear combination of one or more predictor variables, together with a random error. The subject is inherently two- or higher- dimensional, thus an understanding of Statistics in one dimension is essential. Regression: Linear Models in Statistics fills the gap between introductory statistical theory and more specialist sources of information. In doing so, it provides the reader with a number of worked examples, and exercises with full solutions. The book begins with simple linear regression (one predictor variable), and analysis of variance (ANOVA), and then further explores the area through inclusion of topics such as multiple linear regression (several predictor variables) and analysis of covariance (ANCOVA). The book concludes with special topics such as non-parametric regression and mixed models, time series, spatial processes and design of experiments. Aimed at 2nd and 3rd year undergraduates studying Statistics, Regression: Linear Models in Statistics requires a basic knowledge of (one-dimensional) Statistics, as well as Probability and standard Linear Algebra. Possible companions include John Haigh’s Probability Models, and T. S. Blyth & E.F. Robertsons’ Basic Linear Algebra and Further Linear Algebra.

Nondetects and Data Analysis

Statistics for Censored Environmental Data

Author: Dennis R. Helsel,USGS

Publisher: Wiley-Interscience


Category: Mathematics

Page: 250

View: 8855

STATISTICS IN PRACTICE Statistical methods for interpreting and analyzing censored environmental data Nondetects And Data Analysis: Statistics for Censored Environmental Data provides solutions for environmental scientists and professionals who need to interpret and analyze data that fall below the laboratory detection limit. Adapting survival analysis methods that have been successfully used in medical and industrial research, the author demonstrates, for the first time, their practical applications for studies of trace chemicals in air, water, soils, and biota. Readers quickly become proficient in these methods through the use of real-world examples that are solved using MINITAB® Release 14, a popular statistical software package, as well as other commonly used software packages. Everything needed to master these innovative statistical methods is provided, including: Accompanying Web site featuring answers to book exercises and datasets, as well as MINITAB® macros to perform methods, which are not available in the commercial version Methods for data with multiple detection limits Solutions for research studies in which all data are below detection limits Techniques for constructing confidence, prediction, and tolerance intervals for data with nond-tects Methods for data with multiple detection limits Chapters are organized by objective, such as computing intervals, comparing groups, and correlations, which enables readers to more easily apply the text to their particular research and goals. Extensive references to the literature for more in-depth research are provided; however, the text itself avoids complex math and calculus making it accessible to anyone in the environmental sciences. Environmental scientists and professionals will find the hands-on guidance and practical examples invaluable.

Acid Rain - Deposition to Recovery

Author: Peter Brimblecombe,Hiroshi Hara,Daniel Houle,Martin Novak

Publisher: Springer Science & Business Media

ISBN: 9781402058851

Category: Science

Page: 419

View: 5412

This book looks at the sources and composition of the atmosphere and rainfall, with particular attention on acidifying components and those that affect ecosystems. It further widens the subject to look at trace metals. It includes papers on the impact of deposition on soils and forests and the recovery of the natural environment. Work on critical loads makes a contribution to understanding the degree to which deposition must be reduced to limit its impact.

S-Plus for the Analysis of Biological Data

Author: Rhondda E. Jones,Robin Gilliver,Simon Robson,Will Edwards

Publisher: N.A

ISBN: 9780987514714

Category: Biometry

Page: N.A

View: 4445

A manual to teach people to use the statistical software package S-Plus and to support the process of learning statistical concepts and methods. It is a useful workbook to accompany The Analysis of Biological Data by Whitlock and Schluter, published by Roberts and Co, Colorado.

Statistics for Environmental Science and Management, Second Edition

Author: Bryan F.J. Manly

Publisher: CRC Press

ISBN: 1439878129

Category: Mathematics

Page: 310

View: 9448

Revised, expanded, and updated, this second edition of Statistics for Environmental Science and Management is that rare animal, a resource that works well as a text for graduate courses and a reference for appropriate statistical approaches to specific environmental problems. It is uncommon to find so many important environmental topics covered in one book. Its strength is author Bryan Manly’s ability to take a non-mathematical approach while keeping essential mathematical concepts intact. He clearly explains statistics without dwelling on heavy mathematical development. The book begins by describing the important role statistics play in environmental science. It focuses on how to collect data, highlighting the importance of sampling and experimental design in conducting rigorous science. It presents a variety of key topics specifically related to environmental science such as monitoring, impact assessment, risk assessment, correlated and censored data analysis, to name just a few. Revised, updated or expanded material on: Data Quality Objectives Generalized Linear Models Spatial Data Analysis Censored Data Monte Carlo Risk Assessment There are numerous books on environmental statistics; however, while some focus on multivariate methods and others on the basic components of probability distributions and how they can be used for modeling phenomenon, most do not include the material on sampling and experimental design that this one does. It is the variety of coverage, not sacrificing too much depth for breadth, that sets this book apart.

Getting Started with Citrix® Provisioning Services 7.0

Author: Puthiyavan Udayakumar

Publisher: Packt Publishing Ltd

ISBN: 1782176713

Category: Computers

Page: 134

View: 5053

This practical guide helps you to administer Citrix Provisioning Services. Each chapter is structured in way to help you easily understand the various features, with accompanying practical examples that help beginners to quickly understand the product. This book is a useful guide for an admin/engineer who is new to the Citrix virtualization solution and provisioning service, and who is looking to get a good grounding in Citrix PVS. It’s assumed that you will have some understanding of the basics of virtualization already, but that's all you need to know!

Modern Applied Biostatistical Methods

Using S-Plus

Author: Steve Selvin

Publisher: Oxford University Press

ISBN: 0199747733

Category: Medical

Page: 480

View: 3754

Statistical analysis typically involves applying theoretically generated techniques to the description and interpretation of collected data. In this text, theory, application and interpretation are combined to present the entire biostatistical process for a series of elementary and intermediate analytic methods. The theoretical basis for each method is discussed with a minimum of mathematics and is applied to a research data example using a computer system called S-PLUS. This system produces concrete numerical results and increases one's understanding of the fundamental concepts and methodology of statistical analysis. Combining statistical logic, data and computer tools, the author explores such topics as random number generation, general linear models, estimation, analysis of tabular data, analysis of variance and survival analysis. The end result is a clear and complete explanation of the way statistical methods can help one gain an understanding of collected data. Modern Applied Biostatistical Methods is unlike other statistical texts, which usually deal either with theory or with applications. It integrates the two elements into a single presentation of theoretical background, data, interpretation, graphics, and implementation. This all-around approach will be particularly helpful to students in various biostatistics and advanced epidemiology courses, and will interest all researchers involved in biomedical data analysis. This text is not a computer manual, even though it makes extensive use of computer language to describe and illustrate applied statistical techniques. This makes the details of the statistical process readily accessible, providing insight into how and why a statistical method identifies the properties of sampled data. The first chapter gives a simple overview of the S-PLUS language. The subsequent chapters use this valuable statistical tool to present a variety of analytic approaches.

Statistical Tools for Nonlinear Regression

A Practical Guide With S-PLUS and R Examples

Author: Sylvie Huet,Anne Bouvier,Marie-Anne Poursat,Emmanuel Jolivet

Publisher: Springer Science & Business Media

ISBN: 0387215743

Category: Mathematics

Page: 234

View: 1513

Statistical Tools for Nonlinear Regression presents methods for analyzing data. It has been expanded to include binomial, multinomial and Poisson non-linear models. The examples are analyzed with the free software nls2 updated to deal with the new models included in the second edition. The nls2 package is implemented in S-PLUS and R. Several additional tools are included in the package for calculating confidence regions for functions of parameters or calibration intervals, using classical methodology or bootstrap.

Indigenous Data Sovereignty

Toward an agenda

Author: Tahu Kukutai,John Taylor

Publisher: ANU Press

ISBN: 1760460311

Category: Social Science

Page: 318

View: 5792

As the global ‘data revolution’ accelerates, how can the data rights and interests of indigenous peoples be secured? Premised on the United Nations Declaration on the Rights of Indigenous Peoples, this book argues that indigenous peoples have inherent and inalienable rights relating to the collection, ownership and application of data about them, and about their lifeways and territories. As the first book to focus on indigenous data sovereignty, it asks: what does data sovereignty mean for indigenous peoples, and how is it being used in their pursuit of self-determination? The varied group of mostly indigenous contributors theorise and conceptualise this fast-emerging field and present case studies that illustrate the challenges and opportunities involved. These range from indigenous communities grappling with issues of identity, governance and development, to national governments and NGOs seeking to formulate a response to indigenous demands for data ownership. While the book is focused on the CANZUS states of Canada, Australia, Aotearoa/New Zealand and the United States, much of the content and discussion will be of interest and practical value to a broader global audience. ‘A debate-shaping book … it speaks to a fast-emerging field; it has a lot of important things to say; and the timing is right.’ — Stephen Cornell, Professor of Sociology and Faculty Chair of the Native Nations Institute, University of Arizona ‘The effort … in this book to theorise and conceptualise data sovereignty and its links to the realisation of the rights of indigenous peoples is pioneering and laudable.’ — Victoria Tauli-Corpuz, UN Special Rapporteur on the Rights of Indigenous Peoples, Baguio City, Philippines

Mechanical Vibrations: Theory and Applications, SI Edition

Author: S. Graham Kelly

Publisher: Cengage Learning

ISBN: 1439062145

Category: Technology & Engineering

Page: 896

View: 5176

MECHANICAL VIBRATIONS: THEORY AND APPLICATIONS takes an applications-based approach at teaching students to apply previously learned engineering principles while laying a foundation for engineering design. This text provides a brief review of the principles of dynamics so that terminology and notation are consistent and applies these principles to derive mathematical models of dynamic mechanical systems. The methods of application of these principles are consistent with popular Dynamics texts. Numerous pedagogical features have been included in the text in order to aid the student with comprehension and retention. These include the development of three benchmark problems which are revisited in each chapter, creating a coherent chain linking all chapters in the book. Also included are learning outcomes, summaries of key concepts including important equations and formulae, fully solved examples with an emphasis on real world examples, as well as an extensive exercise set including objective-type questions. Important Notice: Media content referenced within the product description or the product text may not be available in the ebook version.

Statistical Tools for Environmental Quality Measurement

Author: Douglas E. Splitstone,Michael E. Ginevan

Publisher: CRC Press

ISBN: 9780203496893

Category: Mathematics

Page: 256

View: 3163

When interpreting environmental data, scientists and engineers first must select the correct statistical tool to use for their analysis. By doing this they will be able to make sound decisions in their efforts to solve environmental problems. They need a detailed reference that points out the subtle differences between statistical procedures, making clear what procedure to use when trying to find the answer to a specific problem. Statistical Tools for Environmental Quality Measurement provides a detailed review of statistical tools used in analyzing and addressing environmental issues. This book examines commonly-used techniques found in USEPA guidelines and discusses their potential impact on decision-making. The authors are not constrained by statistical formalism; they advise when to go outside of standard statistical models when making difficult decisions. The content is presented in a practical style that prioritizes methods that work, based upon the authors' extensive experience. The text points out that simplicity facilitates effective communication of an analysis and decision to a "consumer" of statistics. The book emphasizes the exact question that each procedure addresses, so that environmental scientists and engineers can clearly identify precisely the question they want to ask, and correctly interpret the results. Features


Environmental Analysis and Monitoring

Author: Michael J. Brisson,Amy A. Ekechukwu

Publisher: Royal Society of Chemistry

ISBN: 1847559034

Category: Science

Page: 200

View: 9597

This comprehensive book describes all aspects of the current sampling and analysis techniques for trace-level beryllium in the workplace.

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