Log Pearson Type III Outlier Detection: Bulletin 17b
Pearson Type III Outlier Detection
Statistical Frequency Analysis
Frequency Analysis and Synthesis
Population Models
Adjusting Flood Record for Urbanization
Graphical Detection Of Nonhomogeneity
Graphical Analyses
Compilation of Causal Information
Supporting Computational Analyses
Statistical Detection of Nonhomogeneity
Runs Test
Kendall Test for Trend
Pearson Test for Serial Independence
Spearman Test for Trend
Spearman-Conley Test
Cox-Stuart Test for Trend
Noether's Binomial Test for Cyclical Trend
Durbin-Watson Test for Autocorrelation
Equality of Two Correlation Coefficients
Detection of Change in Moments
Graphical Analysis
The Sign Test
Two-Sample t-Test
Mann-Whitney Test
The t-Test for Two Related Samples
The Walsh Test
Wilcoxan Matched-Pairs, Signed-Ranks Test
One-Sample Chi-Square Test
Two-Sample F-Test
Siegel-Tukey Test for Scale
Detection of Change in Distribution
Chi-Square Goodness-of-Fit Test
Kolmogorov-Smirnov One-Sample Test
The Wald-Wolfowitz Runs Test
Kolmogorov-Smirnov Two-Sample Test
Modeling Change
Conceptualization
Model Formulation
Model Calibration
Model Verification
Assessing Model Reliability
Hydrologic Simulation
Computer Generation of Random Numbers
Simulation of Discrete Random Variables
Generation of Continuously Distributed Random Variates
Applications of Simulation
Sensitivity Analysis
Mathematical Foundations of Sensitivity Analysis
Time Variation of Sensitivity
Sensitivity in Model Formulation
Sensitivity and Data Error Analysis
Sensitivity of Model Coefficients
Watershed Change
Frequency Analysis Under Nonstationary Land Use Conditions
Data Requirements
Developing a Land-Use Time Series
Modeling Issues
Comparison of Flood Frequency Analyses
Summary
Statistical Tables
Data Matrices
References
Index
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