Chapter 1 Introduction Chapter 2 Estimation Chapter 3 Inference Chapter 4 Errors in Predictors Chapter 5 Generalized Least Squares Chapter 6 Testing for Lack of Fit Chapter 7 Diagnostics Chapter 8 Transformation Chapter 9 Scale Changes, Principal Components and Collinearity Chapter 10 Variable Selection Chapter 11 Statistical Strategy and Model Uncertainty Chapter 12 Chicago Insurance Redlining - a complete example Chapter 13 Robust and Resistant Regression Chapter 14 Missing Data Chapter 15 Analysis of Covariance Chapter 16 ANOVA

Chapter 5 A. The Movement of Substances Across Cell Membranes Learning Objectives: 1. Principles of membrane transport 2. Passive transport and active transport 3. Two main classes of membrane transport proteins: Carriers and Channels; 4. The ion transport systems; 5. Endocytosis and Phagocytosis: cellular uptake of macromolecules and particles

• Motivation and taxonomy of crawlers • Basic crawlers and implementation issues • Universal crawlers • Preferential (focused and topical) crawlers • Evaluation of preferential crawlers • Crawler ethics and conflicts • New developments: social, collaborative, federated crawlers

◼ Basic concepts and a road map ◼ Efficient and scalable frequent itemset mining methods ◼ Mining various kinds of association rules ◼ From association mining to correlation analysis ◼ Constraint-based association mining ◼ Summary

❖ Foundation：Process Description and Control ❖ Implement： Mutual Exclusion and Synchronization ❖ Avoidance： Deadlock（死锁） and Hungry（饥饿） ❖ Solution： Several Classical(经典) Problems ❖ About： Process Communications ❖ Policy： Process scheduling

Ch. 24 Johansen's mle for Cointegration We have so far considered only single-equation estimation and testing for cointe- gration. While the estimation of single equation is convenient and often consis- tent, for some purpose only estimation of a system provides sufficient information This is true, for example, when we consider the estimation of multiple cointe- grating vectors, and inference about the number of such vectors. This chapter examines methods of finding the cointegrating rank and derive the asymptotic

Countless divisions of a single-celled zygote produce an organism of astonishing cellular complexity and organiza- tion. Any individual cell is bound to die, because cells are subject to wear and tear as well as to accidents. 25 million cells are undergoing division each second in an adult human and blood cells renewed at the rate of about 100 million per minute. If an organism is to continue to live

8.1 Population and Distribution Model 8.2 Maximum Likelihood Estimation 8.3 Asymptotic Properties of MLE 8.4 Method of Moments and Generalized Method of Moments 8.5 Asymptotic Properties of GMM 8.6 Mean Squared Error Criterion 8.7 Best Unbiased Estimators 8.8 Cramer-Rao Lower Bound 8.9 Conclusion

7.1 Limits and Orders of Magnitude: A Review 7.2 Motivation for Convergence Concepts 7.3 Convergence in Quadratic Mean and 𝑳𝑳𝒑𝒑-Convergence 7.4 Convergence in Probability 7.5 Almost Sure Convergence 7.6 Convergence in Distribution 7.7 Central Limit Theorems 7.8 Conclusion

Capital Structure The Modigliani and Miller capital structure and payout policy theorems were the result of the practical questions\How should a firm choose its capital structure\. The theory that we covered last time clarified the nature of the modigliani and miller result