High-Dimensional Imaging Data Analysis: From Classical Pca to Tensor Robust Pca with Ai/ML, Vol. 1 (Hardcover)

Modern Panel Data Econometrics : A Practical Approach Using STATA (Hardcover)

1. Introduction 2. Linear Regression Model-Basic 3. Linear Regression Model-Extension 4.????? Endogenous Regressor 5. Long Panel Data 6. Panel VAR 7. Qualitative Dependent Variable Model (QDM) 8. Stochastic Frontier Analysis (SFA) 9. Matching Estimator 10. Difference in Difference 11.? Regression Discontinuity Design 12. Other Panel Model 13. Auxiliaries 14. Application of Gen AI

Log-Linear Models and Logistic Regression (Paperback, 3, Third 2025)

Bayesian Regression and Causal Inference: With Examples in R (Hardcover)

Probability Workbook for Dummies (Paperback)

Introduction 1

Part 1: The Certainty of Uncertainty: Probability Basics 5

Chapter 1: Seeing Probability in Everyday Life 7

Chapter 2: Teaming up with Probability Terms and Rules 15

Chapter 3: Picturing Probabilities: Venn Diagrams, Trees, and Bayes’ Theorem 29

Part 2: Counting on Probability and Betting to Win. 43

Chapter 4: Setting the Contingency Table with Probabilities. 45

Chapter 5: Unraveling Counting Rules 59

Chapter 6: Against All Odds: Probability in Gaming. 75

Part 3: From A to Binomial: Basic Probability Distributions 89

Chapter 7: Dealing with Discrete Probability Distributions. 91

Chapter 8: Juggling Success and Failure with the Binomial Distribution. 101

Chapter 9: Normalizing the Normal Distribution. 111

Chapter 10: Approximating a Binomial with a Normal Distribution 125

Chapter 11: Sampling Distributions and the Central Limit Theorem. 135

Chapter 12: Probability’s Role in Confidence Intervals and Hypothesis Tests. 147

Part 4: Taking It up a Notch: Advanced Probability Models. 157

Chapter 13: Working with the Poisson (a Nonpoisonous) Distribution. 159

Chapter 14: Covering All Angles of the Geometric Distribution. 171

Chapter 15: Making a Positive Out of the Negative Binomial Distribution. 183

Chapter 16: Not Getting Hyper about the Hypergeometric Distribution. 193

Part 5: For the Hotshots: Continuous Probability Models. 205

Chapter 17: Staying in Line with the Continuous Uniform Distribution 207

Chapter 18: Exposing the Exponential Distribution (and Its Relationship to Poisson) 221

Part 6: The Part of Tens 233

Chapter 19: Top Ten Probability Mistakes. 235

Chapter 20: Ten Probability Distributions to Compare. 243

Appendix A: Tables for Reference 255

Index 265