Wentworth
Institute of Technology
Environmental Statistics and Data Analysis /
This easy-to-understand introduction emphasizes the areas of probability theory and statistics that are important in environmental monitoring, data analysis, research, environmental field surveys, and environmental decision making. It communicates basic statistical theory with very little abstract m...
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| Format: | Electronic eBook |
| Language: | English |
| Published: |
Boca Raton, FL :
Routledge,
[2018]
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| Edition: | First edition. |
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| Online Access: |
Full text (WIT users only) |
Table of Contents:
- Random ProcessesStochastic Processes in the EnvironmentStructure of the BookTheory of ProbabilityProbability ConceptsProbability LawsConditional Probability and Bayes' TheoremSummaryProblemsProbability ModelsDiscrete Probability ModelsContinuous Random VariablesMoments, Expected Value, and Central TendencyVariance, Kurtosis, and SkewnessAnalysis of Observed DataSummaryProblemsBernoulli ProcessesConditions for Bernoulli ProcessDevelopment of ModelBinomial DistributionApplications to Environmental ProblemsComputation of B(n,p)ProblemsPoisson ProcessesConditions for Poisson ProcessDevelopment of ModelPoisson DistributionExamplesApplications to Environmental ProblemsComputation of P(l,t) ProblemsDiffusion and Dispersion of PollutantsWedge MachineParticle Frame MachinePlume ModelSummary and ConclusionsProblemsNormal ProcessesConditions for Normal ProcessDevelopment of ModelConfidence IntervalsApplications to Environmental ProblemsComputation of N(m,s) ProblemsDilution of PollutantsDeterministic DilutionStochastic DilutionApplications to Environmental ProblemsSummary and ConclusionsProblemsLognormal ProcessesConditions for Lognormal ProcessDevelopment of ModelLognormal Probability ModelEstimating Parameters of the Lognormal DistributionThree-Parameter Lognormal ModelStatistical Theory of RollbackApplications to Environmental ProblemsSummary and ConclusionsProblemsIndex.