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Environmental Statistics with S-PLUS (Chapman & Hall/CRC Applied Environmental Statistics)
 
 

Environmental Statistics with S-PLUS (Chapman & Hall/CRC Applied Environmental Statistics) [Hardcover]

Steven P. Millard (Author), Nagaraj K. Neerchal (Author), Philip Dixon (Author)
1.0 out of 5 stars  See all reviews (1 customer review)

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Environmental Statistics with R, Second Edition (Chapman & Hall/CRC Applied Environmental Statistics) Environmental Statistics with R, Second Edition (Chapman & Hall/CRC Applied Environmental Statistics)
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Book Description

0849371686 978-0849371684 September 21, 2000 1
A clear, comprehensive treatment of the subject, Environmental Statistics with S-PLUS surveys the vast array of statistical methods used to collect and analyze environmental data. The book explains what these methods are, how to use them, and where to find references to them. In addition, it provides insight into what to think about before you collect environmental data, how to collect the data, and how to make sense of it after collection.

A unique and powerful feature of the book is its integration with the commercially available software package S-Plus and the add-on modules EnvironmentalStats for S-PLUS, S+SpatialStats, and S-PLUS for ArcView. The book presents data sets to explain statistical methods, and then shows how to implement these methods by providing the commands for and the results from the software.

This survey of statistical methods, definitions, and concepts helps you collect and effectively analyze data for environmental pollution problems. Using the S-PLUS software in conjunction with this text will no doubt increase understanding of the methods.

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Product Details

  • Hardcover: 848 pages
  • Publisher: CRC Press; 1 edition (September 21, 2000)
  • Language: English
  • ISBN-10: 0849371686
  • ISBN-13: 978-0849371684
  • Product Dimensions: 9.5 x 6.4 x 1.9 inches
  • Shipping Weight: 3.2 pounds (View shipping rates and policies)
  • Average Customer Review: 1.0 out of 5 stars  See all reviews (1 customer review)
  • Amazon Best Sellers Rank: #2,312,544 in Books (See Top 100 in Books)

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6 of 8 people found the following review helpful:
1.0 out of 5 stars This is a terrible textbook!, March 7, 2003
By A Customer
This review is from: Environmental Statistics with S-PLUS (Chapman & Hall/CRC Applied Environmental Statistics) (Hardcover)
It's hard to know where to start...
1) The explanations of statistical concepts are not well organized. If you've never had statistics before, prepare to be confused. If you have had it before, prepare to be bored. There is no middle ground with this book.
2) Since this is really a book on how to use S-PLUS, there must be a lot of material about how S-PLUS works, right? WRONG! When the book begins to explain how to use S-PLUS, it is given in a plug-and-chug format. There is really no explanation of how the commands work, just a list of steps to give you the results or plots that are shown in the book. This book does not teach, it merely lists.
3) There are also a lot of inconsistencies in the book. There are "elementary" homework problems that are not possible to do because of the way S-PLUS is set up. Even one of the authors of the book (who happens to be my professor) doesn't know how to do them.

Overall, this book is definitely NOT worth the money.

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Inside This Book (learn more)
First Sentence:
The environmental movement of the 1960s and 1970s resulted in the creation of several laws aimed at protecting the environment, and in the creation of Federal, state, and local government agencies charged with enforcing these laws. Read the first page
Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
data frame epa, future sampling occasions, following menu choices, declaring contamination, empirical percentile method, parametric button, empirical cdf plot, box select greater, directional empirical semivariograms, nonparametric prediction intervals, adjusted percentile method, nondetect values, performance goal diagram, select ozone, type these commands, aldicarb concentration, upper tolerance interval, incremental lifetime cancer risk, upper prediction limit, sure lognormal, empirical covariogram, minimal detectable difference, silver data, simultaneous prediction limits, censoring level
Key Phrases - Capitalized Phrases (CAPs): (learn more)
Script Window, Object Explorer, Monte Carlo, Subset Rows, Latin Hypercube, Modified California, Compare Samples, Value of Random Variable Figure, New York, Insert Graph, Sample Type, Under the Axes Type, Under the Plot Type, Under the Confidence Interval, Grouping Variable, Under the Prediction Interval, Censor Ind, Future Obs, Lower Bound, Lognormal Density, Results of Shapiro-Wilk, Test Method, One Sample, Pivot Stat, Quantiles of Normal
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Front Cover | Table of Contents | First Pages | Index | Back Cover | Surprise Me!
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