Nondetects and Data Analysis: Statistics for Censored Environmental Data无法检测与数据分析：环境数据审查统计学
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作者： Dennis R. Helsel， USGS著
出 版 社： 吉林长白山
出版时间： 2004-11-1字数：版次： 1页数： 250印刷时间： 2004/11/01开本： 16开印次： 1纸张： 胶版纸I S B N ： 9780471671732包装： 精装编辑推荐
作者简介：
DNNIS R.HELSEL.PHD,is a 2003 recipient of the american statistical association section on statistics and the environment's distinguished achievementaward.his textbook,satistical methods in water resources,coauthored by robert hirsch,is a standard reference in the water resources community ,dr.helsel currently does research on behalf of the united states geolo Survey in denver,colorado.
内容简介
“clearly and efficiently covers a large amount of material in a relatively small number of pages。 This is the book I will share with consulting clients who have data with below detection limit values。” （Journal of the American Statistical Association， March 2006）
“an excellent addition to an upper level undergraduate course on environmental statistics， and it is a ’must-have’ desk reference for environmental practitioners dealing with censored datasets。” （Vadose Zone Journal， February 2006）
Everything you need to master innovative statistical methods for interpreting and analyzing censored environmental data
Adapting survival analysis methods that have been successfully used in medical and industrial research， the author demonstrates their practical applications for studies of trace chemicals in air， water， soils， and biota。 You’ll quickly become proficient in these methods through the use of real-world examples that are solved using MINITAB® Release 14 and other commonly used software packages。
目录
Preface
Acknowledgments
IntroductiOn：
An Accident Waiting to Happen
1．In Focus
2．The Three Approaches
Approach 1：Substitution
Approach 2：Maximum likelihood estimation
Approach 3：Nonparametric methods
Application of survival analysis methods to environmental data
Power transformations with survival analysis
Parallels to uncensored methods
3．Reporting Limits
Limits when the standard deviation iS considered constant
The detection limit
The quantitation limit
False negatives
Data between the limits
Informative censoring——biasing interpretations
Limits when the standard deviation changes with concentration
For further study
4. Storing Data in Databases
Method 1．Negative numbers
Method 2．Indicator variable
Method 3．Interval endpoints
5. Plotting Data with Nondetects
Boxplots
Histograms
Probability plot
Empirical distribution function
Survival function plots
X-Y scatterplots
6. Computing Summary Statistics
Substitution（fabrication）methods
Maximum likelihood estimation
Nonparametric method：Kaplan—Meier
ROS：A“robust”method
A review of comparison studies
7．Computing Interval Estimates
ParametriC intervals
Nonparametric intervals
Intervals for censored data by substitution
Intervals for censored data by maximum likelihood
Intervals using‘robust’parametric methods
Nonparametric intervals for censored data
Bootstrapped intervals
8．What Can Be Done When A11 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
9．Comparing Two Groups
Substitution methods
Maximum likelihood estimation
Nonparametric methods
Value of the information in nondetects
Transformations with score tests
Paired 0bservations
Comparing data to a standard using paired tests
Summary of two—sample tests for censored data
10．Comparing Three 0r More Groups
Substitution methods
Maximum likelihood estimation
Nonparametric methods
Summary
11．Correlation
Types of correlation coefficients
Substitution methods
Maximum likelihood estimation
Nonparametric methods
Summary．A comparison among methods
For further study
12. Regression and trends
App Datasets
