Joseph Ofungwu. -- Hoboken, N.J. : John Wiley & Sons, 2014.

xix, 624 p.; 26 cm. -- (Statistics in practice)

ISBN 978-1-118-63453-0.

Incluye referencias bibliográficas e índice.

Contenido: Preface -- Acknowledgments -- Introduction -- Basic statistical measures and concepts -- Introduction to software packages used in this book -- Laboratory detection limits, nondetecs, and data analysis -- Data simple, data population, and data distribution -- Graphics for data analysis and presentation -- Basic statistical measures: descriptive or summary statistics -- Statistical procedures for mostly univariate data -- Statistical intervals: confidence, tolerance, and prediction intervals -- Tests of hypothesis and decision making -- Applications of hypothesis tests: comparing populations, analysis of variance -- Trends, autocorrelation, and temporal dependence -- Statistical procedures for mostly multivariate data -- Correlation, covariance, geostatistics -- Simple linear regression -- Data transformation versus generalized linear model -- Robust regression -- Multiple linear regression -- Categorical data analysis -- Model building: stepwise regression and best subsets regression -- Nonlinear regression -- Statistics in environmental sampling design and risk assessment -- Data quality objectives and environmental sampling design -- Determination of background and applications in risk assessment -- Statistics conventional and probabilistic risk assessment -- Appendix A: Software scripts -- Appendix B: Datasets.