This book describes EnvStats, a new comprehensive R package for environmental statistics and the successor to the S-PLUS module EnvironmentalStats for S-PLUS. It allows for powerful graphical and statistical analyses of environmental data.
"Sinopsis" puede pertenecer a otra edición de este libro.
Steven P. Millard, Ph.D., is an independent statistical consultant and also Senior Biostatistician at the VA Puget Sound Health Care System in Seattle, Washington, and has worked in the field of environmental and health care statistics for over 25 years. He has worked at the US Geological Survey, CH2M Hill, the University of California at Santa Barbara, Saint Martin’s College, Insightful Corporation, and the Cystic Fibrosis Therapeutics Development Network Coordinating Center. In 1990 he developed the training program in S-PLUS while at Statistical Sciences (the creator of S-PLUS), and later developed the S-PLUS module EnvironmentalStats for S-PLUS. He has taught numerous courses in statistics and software to professionals in the United States and Europe, including at the US EPA, Merck, and the National Security Agency. He is the co-author of textbooks on environmental statistics and statistics for drug development. Dr. Millard holds a B.A. in Mathematics from Pomona College, and an M.S. and Ph.D. in Biostatistics from the University of Washington.
<p>This book describes EnvStats, a new comprehensive R package for environmental statistics. EnvStats and R provide an open-source set of powerful functions for performing graphical and statistical analyses of environmental data, along with an extensive hypertext help system that explains what these methods do, how to use them, and where to find them in the environmental statistics literature. EnvStats also includes numerous built-in data sets from regulatory guidance documents, state and federal databases, and the literature.</p><p>This book shows how to use EnvStats and R to easily:</p><p>* Graphically display environmental data and probability distributions</p><p>* Deal with non-detect (censored) data</p><p>* Perform and plot results of goodness-of-fit tests</p><p>* Compare chemical concentrations to a protection standard using confidence intervals for percentiles or parameters</p><p>* Assess compliance at multiple sites for multiple constituents using simultaneous prediction limits</p><p>* Test for trend accounting for seasons and serial correlation</p><p>* Perform power and sample size computations with companion plots for sampling designs based on hypothesis tests, confidence intervals, prediction intervals, or tolerance intervals</p><p>* Perform probabilistic risk assessment using Monte Carlo simulation</p><p>* Reproduce specific examples in EPA guidance documents EnvStats combined with other R packages provide the environmental scientist, statistician, researcher, and technician with tools to “get the job done!”</p><p>Steven P. Millard, Ph.D., is an independent statistical consultant and Senior Biostatistician at the VA Puget Sound Health Care System in Seattle, Washington, and has worked in the field of environmental and health care statistics for over 25 years. He has worked at the US Geological Survey, CH2M Hill, the University of California at Santa Barbara, Saint Martin’s College, Insightful Corporation, and the Cystic Fibrosis Therapeutics Development Network Coordinating Center. In 1990 he developed the training program in S-PLUS while at Statistical Sciences (the creator of S-PLUS), and later developed the S-PLUS module EnvironmentalStats for S-PLUS. He has taught numerous courses in statistics and software to professionals in the United States and Europe, including at the US EPA, Merck, and the National Security Agency. He is the co-author of textbooks on environmental statistics and statistics for drug development. Dr. Millard holds a B.A. in Mathematics from Pomona College, and an M.S. and Ph.D. in Biostatistics from the University of Washington.</p>
"Sobre este título" puede pertenecer a otra edición de este libro.
Librería: Ria Christie Collections, Uxbridge, Reino Unido
Condición: New. In. Nº de ref. del artículo: ria9781461484554_new
Cantidad disponible: Más de 20 disponibles
Librería: Chiron Media, Wallingford, Reino Unido
PF. Condición: New. Nº de ref. del artículo: 6666-IUK-9781461484554
Cantidad disponible: 10 disponibles
Librería: Brook Bookstore On Demand, Napoli, NA, Italia
Condición: new. Questo è un articolo print on demand. Nº de ref. del artículo: f119b3f1db6f7ab4ab3927c0ffc1bf1a
Cantidad disponible: Más de 20 disponibles
Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Alemania
Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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 documentsEnvStats 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!' 308 pp. Englisch. Nº de ref. del artículo: 9781461484554
Cantidad disponible: 2 disponibles
Librería: THE SAINT BOOKSTORE, Southport, Reino Unido
Paperback / softback. Condición: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days. Nº de ref. del artículo: C9781461484554
Cantidad disponible: Más de 20 disponibles
Librería: Books Puddle, New York, NY, Estados Unidos de America
Condición: New. pp. 308. Nº de ref. del artículo: 2697107841
Cantidad disponible: 4 disponibles
Librería: moluna, Greven, Alemania
Kartoniert / Broschiert. Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. EnvStats is a comprehensive R software library for environmental scientists, engineers, and regulators, based on the open-source statistics and graphics package RThis book shows how to use EnvStats to easily produce powerful graphical an. Nº de ref. del artículo: 4199684
Cantidad disponible: Más de 20 disponibles
Librería: Majestic Books, Hounslow, Reino Unido
Condición: New. Print on Demand pp. 308 69 Illus. (59 Col.). Nº de ref. del artículo: 96338014
Cantidad disponible: 4 disponibles
Librería: Biblios, Frankfurt am main, HESSE, Alemania
Condición: New. PRINT ON DEMAND pp. 308. Nº de ref. del artículo: 1897107851
Cantidad disponible: 4 disponibles
Librería: Revaluation Books, Exeter, Reino Unido
Paperback. Condición: Brand New. 2nd edition. 280 pages. 9.00x6.00x0.75 inches. In Stock. Nº de ref. del artículo: x-1461484553
Cantidad disponible: 2 disponibles