LEADER 05644nam 22006854a 450 001 9910828704303321 005 20200520144314.0 010 $a1-280-27693-2 010 $a9786610276936 010 $a0-470-35778-9 010 $a0-471-73319-9 010 $a0-471-73320-2 035 $a(CKB)1000000000239317 035 $a(EBL)231456 035 $a(OCoLC)608927668 035 $a(SSID)ssj0000266255 035 $a(PQKBManifestationID)11205385 035 $a(PQKBTitleCode)TC0000266255 035 $a(PQKBWorkID)10300598 035 $a(PQKB)11366462 035 $a(MiAaPQ)EBC231456 035 $a(Au-PeEL)EBL231456 035 $a(CaPaEBR)ebr10114160 035 $a(CaONFJC)MIL27693 035 $a(EXLCZ)991000000000239317 100 $a20041027d2005 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aUsing statistical methods for water quality management $eissues, problems, and solutions /$fGraham B. McBride 205 $a1st ed. 210 $aHoboken, N.J. $cWiley-Interscience$dc2005 215 $a1 online resource (343 p.) 225 1 $aWiley series in statistics in practice 300 $aDescription based upon print version of record. 311 $a0-471-47016-3 320 $aIncludes bibliographical references (p. 271-294) and indexes. 327 $aUsing Statistical Methods for Water Quality Management; Contents; List of Figures; List of Figures; List of Tables; List of Tables; Preface; Part I Issues; 1 Introduction; 1.1 Conventions; 1.2 The essentials; 1.3 Meeting management's information needs; 1.4 Water quality observations as random variables; 1.5 Samples and populations; 1.6 Special characteristics of water quality data; Accurate observations are both precise and unbiased; 1.7 Data analysis protocols; 2 Basic concepts of probability and statistics; 2.1 Probability rules; 2.2 Representing data; 2.2.1 Types of data 327 $a2.2.2 Frequency, bar graph, and histogramMost probable number (MPN) data for shelljish-growing waters; 2.2.3 Describing the distribution of probability; Bar graph of MPN data; 2.2.4 Discrete versus continuous data; Cumulative distribution function of MPN data; 2.2.5 Summary statistics; Summary of terms for sample data; Summary of terms for populations; 2.3 Exploratory and graphical methods; Symmetry and skewness; Lowess fit through data for the Ngakaroa Stream; 2.4 Important distributions; Boxplot for somatic coliphage in recreational waters; 2.5 Continuous distributions 327 $a2.5.1 Normal distributionProbability density function (pdf) for the unit normal distribution; Cumulative distribution function (CDF) for the unit normal distribution; 2.5.2 Lognormal distribution; 2.5.3 Gamma distribution; Normal and lognormal probability density functions; 2.5.4 Beta distribution; A variety of shapes for the pdf of the two-parameter gamma distribution; 2.6 Discrete distributions; 2.6.1 Binomial distribution; A variety of shapes for the pdf of the two-parameter beta distribution; Probability mass functions for three common discrete distributions; 2.6.2 Poisson distribution 327 $a2.6.3 Negative binomial distribution2.6.4 Hypergeometric distribution; 2.6.5 Multinomial distribution; 2.7 Sampling distributions; 2.7.1 Student's t-distribution; 2.7.2 Chi-square distribution; Student t-distributions and the unit normal distribution; 2.7.3 F-distribution; 2.8 Statistical tables; Probability density functions for the x2- and F-distributions; Five possibilities for reporting areas under the t-distribution; 2.9 Correlation and measures thereof; Possible linear correlations; 2.10 Statistical models and model parameters; 2.11 Serial correlation, seasonality, trend, and scale 327 $a2.11.1 Effect of serial correlationField Raynes effluent suspended solids data and serial correlation structure; 2.12 Regression; 2.12.1 Applications to water quality; 2.12.2 Nonparametric regression; 2.13 Estimating model parameters; 2.13.1 Point versus interval estimation; 2.13.2 Interval estimates; 2.13.3 Bias; 2.13.4 Percentiles; Problems; Appendix: Conditional probabilities-The Monty Hall dilemma; 3 Intervals; 3.1 Confidence intervals; 3.1.1 For means; Geometric mean confidence limits as a function of sample size; 3.1.2 For prediction; ""Error bars''; 3.1.3 For percentiles 327 $aPrediction intervals and confidence intervals for linear regression 330 $aSTATISTICS IN PRACTICEA practical exploration of alternative approaches to analyzing water-related environmental issuesWritten by an experienced environmentalist and recognized expert in the field, this text is designed to help water resource managers and scientists to formulate, implement, and interpret more effective methods of water quality management.After presenting the basic foundation for using statistical methods in water resource management, including the use of appropriate hypothesis test procedures and some rapid calculation procedures, the author offers a range of pract 410 0$aStatistics in practice. 606 $aWater quality$xMeasurement$xStatistical methods 606 $aWater quality management$xStatistical methods 615 0$aWater quality$xMeasurement$xStatistical methods. 615 0$aWater quality management$xStatistical methods. 676 $a628.1/61 700 $aMcBride$b Graham B.$f1948-$01624555 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910828704303321 996 $aUsing statistical methods for water quality management$93959595 997 $aUNINA