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Statistical methods for groundwater monitoring [[electronic resource] /] / Robert D. Gibbons, Dulal Bhaumik, Subhash Aryal
| Statistical methods for groundwater monitoring [[electronic resource] /] / Robert D. Gibbons, Dulal Bhaumik, Subhash Aryal |
| Autore | Gibbons Robert D. <1955-> |
| Edizione | [2nd ed.] |
| Pubbl/distr/stampa | Hoboken, NJ, : Wiley, c2009 |
| Descrizione fisica | 1 online resource (402 p.) |
| Disciplina |
628.161
628.50287 |
| Altri autori (Persone) |
BhaumikDulal
AryalSubhash |
| Collana | Statistics in Practice |
| Soggetto topico |
Groundwater - Pollution - Measurement - Statistical methods
Water - Pollution - Measurement - Statistical methods |
| Soggetto genere / forma | Electronic books. |
| ISBN |
1-282-31683-4
9786612316838 0-470-54993-9 0-470-54992-0 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
STATISTICAL METHODS FOR GROUNDWATER MONITORING; CONTENTS; Preface; Acknowledgments; Acronyms; 1 NORMAL PREDICTION INTERVALS; 1.1 Overview; 1.2 Prediction Intervals for the Next Single Measurement from a Normal Distribution; 1.3 Prediction Limits for the Next k Measurements from a Normal Distribution; 1.4 Normal Prediction Limits with Resampling; 1.5 Simultaneous Normal Prediction Limits for the Next κ Samples; 1.6 Simultaneous Normal Prediction Limits for the Next τ of m Measurements at Each of κ Monitoring Wells
1.7 Normal Prediction Limits for the Mean(s) of m > 1 Future Measurements at Each of k Monitoring Wells1.8 Summary; 2 NONPARAMETRIC PREDICTION INTERVALS; 2.1 Overview; 2.2 Pass 1 of m Samples; 2.3 Pass m - 1 of m Samples; 2.4 Pass First or All m - 1 Resamples; 2.5 Nonparametric Prediction Limits for the Median of m Future Measurements at Each of k Locations; 2.6 Summary; 3 PREDICTION INTERVALS FOR OTHER DISTRIBUTIONS; 3.1 Overview; 3.2 Lognormal Distribution; 3.2.1 UPL for a Single Future Observation; 3.2.2 Prediction Limits for m = 1 Future Measurement at Each of k Locations 3.3 Lognormal Prediction Limits for the Median of m Future Measurements3.4 Lognormal Prediction Limits for the Mean of m Future Measurements; 3.5 Poisson Distribution; 3.5.1 Poisson Prediction Limits; 3.5.2 Discussion; 3.6 Summary; 4 GAMMA PREDICTION INTERVALS AND SOME RELATED TOPICS; 4.1 Overview; 4.2 Gamma Distribution; 4.2.1 Prediction Limits for a Single Measurement from a Gamma Distribution; 4.2.2 Simultaneous Gamma Prediction Limits for the Next r of m Measurements at Each of k Monitoring Wells; 4.3 Comparison of the Gamma Mean to a Regulatory Standard; 4.4 Summary 5 TOLERANCE INTERVALS5.1 Overview; 5.2 Normal Tolerance Limits; 5.3 Poisson Tolerance Limits; 5.4 Gamma Tolerance Limits; 5.5 Nonparametric Tolerance Limits; 5.6 Summary; 6 METHOD DETECTION LIMITS; 6.1 Overview; 6.2 Single Concentration Designs; 6.2.1 Kaiser-Currie Method; 6.2.2 USEPA-Glaser et al. Method; 6.3 Calibration Designs; 6.3.1 Confidence Intervals for Calibration Lines; 6.3.2 Tolerance Intervals for Calibration Lines; 6.3.3 Prediction Intervals for Calibration Lines; 6.3.4 Hubaux and Vos Method; 6.3.5 The Procedure Due to Clayton and Co-Workers 6.3.6 A Procedure Based on Tolerance Intervals6.3.7 MDLs for Calibration Data with Nonconstant Variance; 6.3.8 Experimental Design of Detection Limit Studies; 6.3.9 Obtaining the Calibration Data; 6.4 Summary; 7 PRACTICAL QUANTITATION LIMITS; 7.1 Overview; 7.2 Operational Definition; 7.3 A Statistical Estimate of the PQL; 7.4 Derivation of the PQL; 7.5 A Simpler Alternative; 7.6 Uncertainty in Υ*α; 7.7 The Effect of the Transformation; 7.8 Selecting N; 7.9 Summary; 8 INTERLABORATORY CALIBRATION; 8.1 Overview 8.2 General Random-Effects Regression Model for the Case of Heteroscedastic Measurement Errors |
| Record Nr. | UNINA-9910139992703321 |
Gibbons Robert D. <1955->
|
||
| Hoboken, NJ, : Wiley, c2009 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Statistical methods for groundwater monitoring [[electronic resource] /] / Robert D. Gibbons, Dulal Bhaumik, Subhash Aryal
| Statistical methods for groundwater monitoring [[electronic resource] /] / Robert D. Gibbons, Dulal Bhaumik, Subhash Aryal |
| Autore | Gibbons Robert D. <1955-> |
| Edizione | [2nd ed.] |
| Pubbl/distr/stampa | Hoboken, NJ, : Wiley, c2009 |
| Descrizione fisica | 1 online resource (402 p.) |
| Disciplina |
628.161
628.50287 |
| Altri autori (Persone) |
BhaumikDulal
AryalSubhash |
| Collana | Statistics in Practice |
| Soggetto topico |
Groundwater - Pollution - Measurement - Statistical methods
Water - Pollution - Measurement - Statistical methods |
| ISBN |
1-282-31683-4
9786612316838 0-470-54993-9 0-470-54992-0 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
STATISTICAL METHODS FOR GROUNDWATER MONITORING; CONTENTS; Preface; Acknowledgments; Acronyms; 1 NORMAL PREDICTION INTERVALS; 1.1 Overview; 1.2 Prediction Intervals for the Next Single Measurement from a Normal Distribution; 1.3 Prediction Limits for the Next k Measurements from a Normal Distribution; 1.4 Normal Prediction Limits with Resampling; 1.5 Simultaneous Normal Prediction Limits for the Next κ Samples; 1.6 Simultaneous Normal Prediction Limits for the Next τ of m Measurements at Each of κ Monitoring Wells
1.7 Normal Prediction Limits for the Mean(s) of m > 1 Future Measurements at Each of k Monitoring Wells1.8 Summary; 2 NONPARAMETRIC PREDICTION INTERVALS; 2.1 Overview; 2.2 Pass 1 of m Samples; 2.3 Pass m - 1 of m Samples; 2.4 Pass First or All m - 1 Resamples; 2.5 Nonparametric Prediction Limits for the Median of m Future Measurements at Each of k Locations; 2.6 Summary; 3 PREDICTION INTERVALS FOR OTHER DISTRIBUTIONS; 3.1 Overview; 3.2 Lognormal Distribution; 3.2.1 UPL for a Single Future Observation; 3.2.2 Prediction Limits for m = 1 Future Measurement at Each of k Locations 3.3 Lognormal Prediction Limits for the Median of m Future Measurements3.4 Lognormal Prediction Limits for the Mean of m Future Measurements; 3.5 Poisson Distribution; 3.5.1 Poisson Prediction Limits; 3.5.2 Discussion; 3.6 Summary; 4 GAMMA PREDICTION INTERVALS AND SOME RELATED TOPICS; 4.1 Overview; 4.2 Gamma Distribution; 4.2.1 Prediction Limits for a Single Measurement from a Gamma Distribution; 4.2.2 Simultaneous Gamma Prediction Limits for the Next r of m Measurements at Each of k Monitoring Wells; 4.3 Comparison of the Gamma Mean to a Regulatory Standard; 4.4 Summary 5 TOLERANCE INTERVALS5.1 Overview; 5.2 Normal Tolerance Limits; 5.3 Poisson Tolerance Limits; 5.4 Gamma Tolerance Limits; 5.5 Nonparametric Tolerance Limits; 5.6 Summary; 6 METHOD DETECTION LIMITS; 6.1 Overview; 6.2 Single Concentration Designs; 6.2.1 Kaiser-Currie Method; 6.2.2 USEPA-Glaser et al. Method; 6.3 Calibration Designs; 6.3.1 Confidence Intervals for Calibration Lines; 6.3.2 Tolerance Intervals for Calibration Lines; 6.3.3 Prediction Intervals for Calibration Lines; 6.3.4 Hubaux and Vos Method; 6.3.5 The Procedure Due to Clayton and Co-Workers 6.3.6 A Procedure Based on Tolerance Intervals6.3.7 MDLs for Calibration Data with Nonconstant Variance; 6.3.8 Experimental Design of Detection Limit Studies; 6.3.9 Obtaining the Calibration Data; 6.4 Summary; 7 PRACTICAL QUANTITATION LIMITS; 7.1 Overview; 7.2 Operational Definition; 7.3 A Statistical Estimate of the PQL; 7.4 Derivation of the PQL; 7.5 A Simpler Alternative; 7.6 Uncertainty in Υ*α; 7.7 The Effect of the Transformation; 7.8 Selecting N; 7.9 Summary; 8 INTERLABORATORY CALIBRATION; 8.1 Overview 8.2 General Random-Effects Regression Model for the Case of Heteroscedastic Measurement Errors |
| Record Nr. | UNINA-9910830804103321 |
|
Gibbons Robert D. <1955->
|
||
| Hoboken, NJ, : Wiley, c2009 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Statistical methods for groundwater monitoring [[electronic resource] /] / Robert D. Gibbons, Dulal Bhaumik, Subhash Aryal
| Statistical methods for groundwater monitoring [[electronic resource] /] / Robert D. Gibbons, Dulal Bhaumik, Subhash Aryal |
| Autore | Gibbons Robert D. <1955-> |
| Edizione | [2nd ed.] |
| Pubbl/distr/stampa | Hoboken, NJ, : Wiley, c2009 |
| Descrizione fisica | 1 online resource (402 p.) |
| Disciplina |
628.161
628.50287 |
| Altri autori (Persone) |
BhaumikDulal
AryalSubhash |
| Collana | Statistics in Practice |
| Soggetto topico |
Groundwater - Pollution - Measurement - Statistical methods
Water - Pollution - Measurement - Statistical methods |
| ISBN |
1-282-31683-4
9786612316838 0-470-54993-9 0-470-54992-0 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
STATISTICAL METHODS FOR GROUNDWATER MONITORING; CONTENTS; Preface; Acknowledgments; Acronyms; 1 NORMAL PREDICTION INTERVALS; 1.1 Overview; 1.2 Prediction Intervals for the Next Single Measurement from a Normal Distribution; 1.3 Prediction Limits for the Next k Measurements from a Normal Distribution; 1.4 Normal Prediction Limits with Resampling; 1.5 Simultaneous Normal Prediction Limits for the Next κ Samples; 1.6 Simultaneous Normal Prediction Limits for the Next τ of m Measurements at Each of κ Monitoring Wells
1.7 Normal Prediction Limits for the Mean(s) of m > 1 Future Measurements at Each of k Monitoring Wells1.8 Summary; 2 NONPARAMETRIC PREDICTION INTERVALS; 2.1 Overview; 2.2 Pass 1 of m Samples; 2.3 Pass m - 1 of m Samples; 2.4 Pass First or All m - 1 Resamples; 2.5 Nonparametric Prediction Limits for the Median of m Future Measurements at Each of k Locations; 2.6 Summary; 3 PREDICTION INTERVALS FOR OTHER DISTRIBUTIONS; 3.1 Overview; 3.2 Lognormal Distribution; 3.2.1 UPL for a Single Future Observation; 3.2.2 Prediction Limits for m = 1 Future Measurement at Each of k Locations 3.3 Lognormal Prediction Limits for the Median of m Future Measurements3.4 Lognormal Prediction Limits for the Mean of m Future Measurements; 3.5 Poisson Distribution; 3.5.1 Poisson Prediction Limits; 3.5.2 Discussion; 3.6 Summary; 4 GAMMA PREDICTION INTERVALS AND SOME RELATED TOPICS; 4.1 Overview; 4.2 Gamma Distribution; 4.2.1 Prediction Limits for a Single Measurement from a Gamma Distribution; 4.2.2 Simultaneous Gamma Prediction Limits for the Next r of m Measurements at Each of k Monitoring Wells; 4.3 Comparison of the Gamma Mean to a Regulatory Standard; 4.4 Summary 5 TOLERANCE INTERVALS5.1 Overview; 5.2 Normal Tolerance Limits; 5.3 Poisson Tolerance Limits; 5.4 Gamma Tolerance Limits; 5.5 Nonparametric Tolerance Limits; 5.6 Summary; 6 METHOD DETECTION LIMITS; 6.1 Overview; 6.2 Single Concentration Designs; 6.2.1 Kaiser-Currie Method; 6.2.2 USEPA-Glaser et al. Method; 6.3 Calibration Designs; 6.3.1 Confidence Intervals for Calibration Lines; 6.3.2 Tolerance Intervals for Calibration Lines; 6.3.3 Prediction Intervals for Calibration Lines; 6.3.4 Hubaux and Vos Method; 6.3.5 The Procedure Due to Clayton and Co-Workers 6.3.6 A Procedure Based on Tolerance Intervals6.3.7 MDLs for Calibration Data with Nonconstant Variance; 6.3.8 Experimental Design of Detection Limit Studies; 6.3.9 Obtaining the Calibration Data; 6.4 Summary; 7 PRACTICAL QUANTITATION LIMITS; 7.1 Overview; 7.2 Operational Definition; 7.3 A Statistical Estimate of the PQL; 7.4 Derivation of the PQL; 7.5 A Simpler Alternative; 7.6 Uncertainty in Υ*α; 7.7 The Effect of the Transformation; 7.8 Selecting N; 7.9 Summary; 8 INTERLABORATORY CALIBRATION; 8.1 Overview 8.2 General Random-Effects Regression Model for the Case of Heteroscedastic Measurement Errors |
| Record Nr. | UNINA-9910841302703321 |
|
Gibbons Robert D. <1955->
|
||
| Hoboken, NJ, : Wiley, c2009 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||