Statistics for censored environmental data using Minitab and R / / Dennis R. Helsel

• Autore: Helsel Dennis R
• Pubblicazione: Hoboken, N.J., : Wiley, c2012
• Edizione: 2nd ed.
• Descrizione fisica: 1 online resource (347 p.)
• Disciplina: 363.730285/53
• Soggetto topico: Environmental sciences - Statistical methods; Pollution - Measurement - Statistical methods; R (Computer program language)
• Note generali: Description based upon print version of record.
• Nota di bibliografia: Includes bibliographical references and index.
• Nota di contenuto: STATISTICS FOR CENSORED ENVIRONMENTAL DATA USING MINITAB AND R; CONTENTS; Preface; Acknowledgments; Introduction to the First Edition: An Accident Waiting To Happen; Introduction to the Second Edition: Invasive Data; 1 Things People Do with Censored Data that Are Just Wrong; Why Not Substitute-Missing the Signals that Are Present in the Data; Why Not Substitute?-Finding Signals that Are Not There; So Why Not Substitute?; Other Common Misuses of Censored Data; 2 Three Approaches for Censored Data; Approach 1: Nonparametric Methods after Censoring at the Highest Reporting Limit ; Approach 2: Maximum Likelihood EstimationApproach 3: Nonparametric Survival Analysis Methods; Application of Survival Analysis Methods to Environmental Data; Parallels to Uncensored Methods; 3 Reporting Limits; Limits When the Standard Deviation is Considered Constant; Insider Censoring-Biasing Interpretations; Reporting the Machine Readings of all Measurements; Limits When the Standard Deviation Changes with Concentration; For Further Study; 4 Reporting, Storing, and Using Censored Data; Reporting and Storing Censored Data; Using Interval-Censored Data; Exercises; 5 Plotting Censored Data ; BoxplotsHistograms; Empirical Distribution Function; Survival Function Plots; Probability Plot; X-Y Scatterplots; Exercises; 6 Computing Summary Statistics and Totals; Nonparametric Methods after Censoring at the Highest Reporting Limit; Maximum Likelihood Estimation; The Nonparametric Kaplan-Meier and Turnbull Methods; ROS: A "Robust" Imputation Method; Methods in Excel; Handling Data with High Reporting Limits; A Review of Comparison Studies; Summing Data with Censored Observations; Exercises; 7 Computing Interval Estimates; Parametric Intervals; Nonparametric Intervals ; Intervals for Censored Data by SubstitutionIntervals for Censored Data by Maximum Likelihood; Intervals for the Lognormal Distribution; Intervals Using "Robust" Parametric Methods; Nonparametric Intervals for Censored Data; Bootstrapped Intervals; For Further Study; Exercises; 8 What Can be Done When All Data Are Below the Reporting Limit?; Point Estimates; Probability of Exceeding the Reporting Limit; Exceedance Probability for a Standard Higher than the Reporting Limit; Hypothesis Tests Between Groups; Summary; Exercises; 9 Comparing Two Groups; Why Not Use Substitution? ; Simple Nonparametric Methods After Censoring at the Highest Reporting LimitMaximum Likelihood Estimation; Nonparametric Methods; Value of the Information in Censored Observations; Interval-Censored Score Tests: Testing Data that Include (DL to RL) Values; Paired Observations; Summary of Two-Sample Tests for Censored Data; Exercises; 10 Comparing Three or More Groups; Substitution Does Not Work-Invasive Data; Nonparametric Methods after Censoring at the Highest Reporting Limit; Maximum Likelihood Estimation; Nonparametric Method-The Generalized Wilcoxon Test; Summary; Exercises; 11 Correlation ; Types of Correlation Coefficients
• Sommario/riassunto: 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 Statistical Methods 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 solu
• Titolo autorizzato: Statistics for censored environmental data using Minitab and R
• ISBN: 9786613622044; 9781280592218; 1280592214; 9781118162767; 1118162765; 9781118162729; 1118162722; 9781118162781; 1118162781
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: 9910141196803321
• Lo trovi qui: Univ. Federico II
• Serie: Statistics in practice.