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2013•Medical Entomology and ZoologyOpen access

Applied Statistics: Regression and Analysis of Variance

Bayo H. Lawal, Felix Famoye

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Abstract

1: Introduction 2: Simple Linear Regression 3: Inferences on Parameter Estimates 4: Mutiple Linear Regression 5: Regression Diagnostics and Remedial Methods 6: Multiple and Partial Correlations 7: Model Selection Strategies 8: Use of Dummy Variables in Regression Analysis 9: Polynomial Regression 10: Logistic Regression 11: Count Data Regression Models 12: Regression with Censored of Truncated Data 13: Nonlinear Regression 14: One-Way Analysis of Variance 15: Two-Factor Analysis of Variance 16: Analysis of Covariance 17: Randomized Complete Block Design 18: Non Orthogonal Classification

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What this paper is about

1: Introduction 2: Simple Linear Regression 3: Inferences on Parameter Estimates 4: Mutiple Linear Regression 5: Regression Diagnostics and Remedial Methods 6: Multiple and Partial Correlations 7: Model Selection Strategies 8: Use of Dummy Variables in Regression Analysis 9: Polynomial Regression 10: Logistic Regression 11: Count Data Regression Models 12: Regression with Censored of Truncated Data 13: Nonlinear Regression 14: One-Way Analysis of Variance 15: Two-Factor Analysis of Variance 16: Analysis of Covariance 17: Randomized Complete Block Design 18: Non Orthogonal Classification

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Available abstract

1: Introduction 2: Simple Linear Regression 3: Inferences on Parameter Estimates 4: Mutiple Linear Regression 5: Regression Diagnostics and Remedial Methods 6: Multiple and Partial Correlations 7: Model Selection Strategies 8: Use of Dummy Variables in Regression Analysis 9: Polynomial Regression 10: Logistic Regression 11: Count Data Regression Models 12: Regression with Censored of Truncated Data 13: Nonlinear Regression 14: One-Way Analysis of Variance 15: Two-Factor Analysis of Variance 16: Analysis of Covariance 17: Randomized Complete Block Design 18: Non Orthogonal Classification

Key concepts: Statistics, Polynomial regression, Proper linear model, Regression diagnostic, Regression analysis, Logistic regression, Factor regression model, Mathematics

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