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Ch.4 Market power and dominant firms Chapter 5. Non-linear pricing and price discrimination Ch. 6 Market power and product quality • Search goods • Experience goods and quality • Signaling high quality • Summary
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上海交通大学:《English for Academic Purposes》课程教学资源(EAP)Handouts_L9 Procedural & summary Ss' handout
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1 Computer Number Representation 2 Machine Precision 3 Types of Errors 4 Subtractive Cancelation and Misc Operations 5 Effective Algorithm 6 Reducing Steps of Computation 7 Error Assessment 8 Best Approximation 9 Review & Summary
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上海交通大学:《材料组织结构表征》课程教学资源(课件讲义)X射线衍射-Summary
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上海交通大学:《材料与文明》课程教学资源(参考资料)Understanding Mater_Appendix - Summary of Quantum Number Characteristics
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This is an admirably concise and clear guide to fundamental concepts in physiology relevant to clinical practice. It covers all the body systems in an accessible style of presentation. Bulleted checklists and boxed information provide an easy overview and summary of the essentials. By concentrating on the core knowledge of physiology, it will serve as a useful revision aid for all doctors striving to achieve postgraduate qualification, and for anyone needing to refresh their knowledge base in the key elements of clinical physiology. The author’s own experience as an examiner at all levels has been distilled here for the benefit of postgraduate trainees and medical and nursing students. Dr Ashis Banerjee is Consultant in Emergency Medicine and serves as Examiner for those undertaking their MB, BS, MRCS and MFAEM examinations
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15.1 INTRODUCTION 15.2 COMMON DATA-ANALYSIS METHODOLOGY 15.3 EXPLORING RELATIONSHIPS 1 15.4 WORKING WITH SAMPLE DATA 15.5 THE INITIAL DATA ANALYSIS AND MINITAB 15.6 SUMMARY
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◼ Outlier and Outlier Analysis ◼ Outlier Detection Methods ◼ Statistical Approaches ◼ Proximity-Base Approaches ◼ Clustering-Base Approaches ◼ Classification Approaches ◼ Summary
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◼ Classification: Basic Concepts ◼ Decision Tree Induction ◼ Bayes Classification Methods ◼ Rule-Based Classification ◼ Model Evaluation and Selection ◼ Summary
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◼ Basic Concepts ◼ Frequent Itemset Mining Methods ◼ Which Patterns Are Interesting?—Pattern Evaluation Methods ◼ Summary
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