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Simple Linear Regression | |
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Linear Regression with One Predictor Variable | |
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Inferences in Regression and Correlation Analysis | |
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Diagnostics and Remedial Measures | |
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Simultaneous Inferences and Other Topics in Regression Analysis | |
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Matrix Approach to Simple Linear Regression Analysis | |
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Multiple Linear Regression | |
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Multiple Regression I | |
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Multiple Regression II | |
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Regression Models for Quantitative and Qualitative Predictors | |
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Building the Regression Model I: Model Selection and Validation | |
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Building the Regression Model II: Diagnostics | |
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Building the Regression Model III: Remedial Measures | |
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Autocorrelation in Time Series Data | |
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NonLinear Regression | |
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Introduction to Nonlinear Regression and Neural Networks | |
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Logistic Regression, Poisson Regression, and Generalized Linear Models | |
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Design and Analysis of Single-Factor Studies | |
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Introduction to the Design of Experimental and Observational Studies | |
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Single-Factor Studies | |
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Analysis of Factor Level Means | |
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ANOVA Diagnostics and Remedial Measures | |
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Multi-Factor Studies | |
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Two-Factor Studies with Equal Sample Sizes | |
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Two-Factor Studies-One Case per Treatment | |
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Randomized Complete Block Designs | |
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Analysis of Covariance | |
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Two-Factor Studies with Unequal Sample Sizes | |
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Multifactor Studies | |
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Random and Mixed Effects Models | |
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Specialized Study Designs | |
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Nested Designs, Subsampling, and Partially Nested Designs | |
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Repeated Measures and Related Designs | |
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Balanced Incomplete Block, Latin Square, and Related Designs | |
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Exploratory Experiments: Two-Level Factorial and Fractional Factorial Designs | |
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Response Surface Methodology | |
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Some Basic Results in Probability and Statistics | |
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Tables | |
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Data Sets | |
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Rules for Developing ANOVA Models and Tables for Balanced Designs | |
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Selected Bibliography | |