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Introduction to Regression Modeling (CD inside) +作者：Abraham +年份：2006 年1 版 +ISBN：0534420753 +書號：PS0319H +規格：精裝/單色 +頁數：447 +出版商：Brooks-Cole
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INTRODUCTION TO REGRESSION MODELING
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Introduction to Regression Modeling (CD inside) +作者：Abraham +年份：2006 年1 版 +ISBN：0534420753 +書號：PS0319H +規格：精裝/單色 +頁數：447 +出版商：Brooks-Cole
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書名：Fundamentals of Database Systems, 7E Global Edition 作者：ELMASRI & NAVATHE 出版社：PEARSON 出版日期：2017/00/00 ISBN：9781292097619 Table of Contents: Part 1: Introduction to Databases Chapter 1: Databases and Database Users Chapter 2: Database Systems Concepts and Architecture Part 2: Conceptual Data Modeling and Database Design Chapter 3: Data Modeling Using the Entity Relationship (ER) Model Chapter 4: The Enhanced Entity Relationship (EER) Model Part 3: The Relational Data Model and SQL Chapter 5: The Relational Data Model and Relational Database Constraints Chapter 6: Basic SQL Chapter 7: More SQL: Complex Queries, Triggers, Views, and Schema Modification Chapter 8: The Relational Algebra and Relational Calculus Chapter 9: Relational Database Design by ER- and EER-to-Relational Mapping Part 4: Database Programming Techniques Chapter 10: Introduction to SQL Programming Techniques Chapter 11: Web Database Programming Using PHP Part 5: Object, Object-Relational, and XML: Concepts, Models, Languages, and Standards Chapter 12: Object and Object-Relational Databases Chapter 13: XLM: Extensible Markup Language Part 6: Database Design Theory and Normalization Chapter 14: Basics of Functional Dependencies and Normalization for Relational Databases Chapter 15: Relational Database Design Algorithms and Further Dependencies Part 7: File Structures, Hashing, Indexing, and Physical Database Design Chapter 16: Disc Storage, Basic File Structures, Hashing, and Modern Storage Architectures Chapter 17: Indexing Structures for Files and Physical Database Design Part 8: Query Processing and Optimization Chapter 18: Strategies for Query Processing Chapter 19: Query Optimization Part 9: Transaction Processing, Concurrency Control, and Recovering Chapter 20: Introduction to Transaction Processing Concepts and Theory Chapter 21: Concurrency Control Techniques Chapter 22: Database Recovery Techniques Part 10: Distributed Databases, NOSQL Systems, Cloud Computing, and Big Data Chapter 23: Distributed Database Concepts Chapter 24: NOSQL Databases and Big Data Storage Systems Chapter 25: Big Data Technologies Based on MapReduce and Hadoop Part 11: Advanced Database Models, Systems, and Applications Chapter 26: Enhanced Data Models: Introduction to Active, Temporal, Spatial, Multimedia, and Deductive Databases Chapter 27: Introduction to Information Retrieval and Web Search Chapter 28: Data Mining Concepts Chapter 29: Overview of Data Warehousing and OLAP Part 12: Additional Database Topics: Security Chapter 30: Database Security Appendix A: Alternative Diagrammatic Notations for ER Models Appendix B: Parameters of Disks Appendix C: Overview of the QBE Language Appendix D: Overview of the Hierarchical Data Model Appendix E: Overview of the Network Data Model
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書名：A First Course in Probability 10/E 作者：ROSS 出版社：Pearson 出版日期：2019/11/00 ISBN：9781292269207 內容簡介 A First Course in Probability offers an elementary introduction to the theory of probability for students in mathematics, statistics, engineering, and the sciences. Through clear and intuitive explanations, it attempts to present not only the mathematics of probability theory, but also the many diverse possible applications of this subject through numerous examples. The 10th Edition includes many new and updated problems, exercises, and text material chosen both for inherent interest and for use in building student intuition about probability. 目錄 Ch 1 Combinatorial Analysis Ch 2 Axioms of Probability Ch 3 Conditional Probability and Independence Ch 4 Random Variables Ch 5 Continuous Random Variables Ch 6 Jointly Distributed Random Variables Ch 7 Properties of Expectation Ch 8 Limit Theorems Ch 9 Additional Topics in Probability Ch10 Simulation
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Introduction to Linear Regression Analysis 6/e +作者：Montgomery +年份：2021 年6 版 +ISBN：9781119578727 +書號：PS0496H +規格：精裝/單色 +頁數：704 +出版商：John Wiley 目錄 1. Introduction 2. Simple Linear Regression 3. Multiple Linear Regression 4. Model Adequacy Checking 5. Transformations and Weighting To Correct Model Inadequacies 6. Diagnostics For Leverage and Influence 7. Polynomial Regression Models 8. Indicator Variables 9. Multicollinearity 10. Variable Selection and Model Building 11. Validation of Regression Models 12. Introduction To Nonlinear Regression 13. Generalized Linear Models 14. Regression Analysis of Time Series Data 15. Other Topics in the Use of Regression Analysis Appendix A. Statistical Tables Appendix B. Data Sets For Exercises Appendix C. Supplemental Technical Material Appendix D. Introduction To SAS Appendix E. Introduction To R To Perform Linear Regression Analysis
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【簡介】 Experts Plebański and Krasiński provide a thorough introduction to the tools of general relativity and relativistic cosmology. Assuming familiarity with advanced calculus, classical mechanics, electrodynamics and special relativity, the text begins with a short course on differential geometry, taking a unique top-down approach. Starting with general manifolds on which only tensors are defined, the covariant derivative and affine connection are introduced before moving on to geodesics and curvature. Only then is the metric tensor and the (pseudo)-Riemannian geometry introduced, specialising the general results to this case. The main text describes relativity as a physical theory, with applications to astrophysics and cosmology. It takes the reader beyond traditional courses on relativity through in-depth descriptions of inhomogeneous cosmological models and the Kerr metric. Emphasis is given to complete and clear derivations of the results, enabling readers to access research articles published in relativity journals.
