QUANTUM PHYSICS (2版)

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書名：Quantum Physics of Atoms, Molecules, Solids, Nuclei, and Particles 2/E 作者：EISBERG 出版社：WILEY 出版日期：1985/02/14 ISBN：9780471873730

近代物理導讀與精解 (10版)

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書名：研究所、大學：近代物理導讀與精解 作者：赫龍 出版社：超級科技 出版日期：2014/07/01 ISBN：9785550261682 內容簡介 研究所考試、大學用書,代物理的蓬勃發展，包括愛因斯坦的相對論等，許多理論相繼出籠，全球科技也隨之突飛猛進，尤其是電子科技、光電科技和奈米科技等領域。若想進一步鑽研這些領域，對近代物理的了解更是不可或缺。

THERMAL PHYSICS(台灣版) (2版)

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【原文書】 書名：Thermal Physics 2/E 作者：Charles Kittel ISBN：0716710889 Synopsis CONGRATULATIONS TO HERBERT KROEMER, 2000 NOBEL LAUREATE FOR PHYSICS For upper-division courses in thermodynamics or statistical mechanics, Kittel and Kroemer offers a modern approach to thermal physics that is based on the idea that all physical systems can be described in terms of their discrete quantum states, rather than drawing on 19th-century classical mechanics concepts. "synopsis" may belong to another edition of this title.

Introductory Econometrics: A Modern Approach (MindTap Course List) (7版)

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書名：Introductory Econometrics: A Modern Approach (Asia Edition) 7/E 作者：Wooldridge 出版社：CENGAGE 出版日期：2020/00/00 ISBN：9789814866088 內容簡介 Give students an understanding of how econometrics can answer questions in business, policy evaluation and forecasting. Students see the importance of what they're learning as this practical, yet professional, approach demonstrates how today's empirical researchers apply econometric methods to answer questions across a variety of disciplines. The author organizes information around the type of data being analyzed and uses a systematic approach that introduces assumptions only when needed to obtain a certain result, making it easier for students to follow. Updated applications and examples demonstrate impact on today's policy and support or disprove contemporary economic theories. More than 100 data sets are available in different formats. 目錄 Ch 1 The Nature of Econometrics and Economic Data PART I: REGRESSION ANALYSIS WITH CROSS-SECTIONAL DATA Ch 2 The Simple Regression Model Ch 3 Multiple Regression Analysis: Estimation Ch 4 Multiple Regression Analysis: Inference Ch 5 Multiple Regression Analysis: OLS Asymptotics Ch 6 Multiple Regression Analysis: Further Issues Ch 7 Multiple Regression Analysis with Qualitative Information Ch 8 Heteroskedasticity Ch 9 More on Specification and Data Problems PART II: REGRESSION ANALYSIS WITH TIME SERIES DATA Ch10 Basic Regression Analysis with Time Series Data Ch11 Further Issues in Using OLS with Time Series Data Ch12 Serial Correlation and Heteroskedasticity in Time Series Regressions PART III: ADVANCED TOPICS. Ch13 Pooling Cross Sections Across Time: Simple Panel Data Methods Ch14 Advanced Panel Data Methods Ch15 Instrumental Variables Estimation and Two Stage Least Squares Ch16 Simultaneous Equations Models Ch17 Limited Dependent Variable Models and Sample Selection Corrections Ch18 Advanced Time Series Topics Ch19 Carrying Out an Empirical Project APPENDIX A: Basic Mathematical Tools APPENDIX B: Fundamentals of Probability APPENDIX C: Fundamentals of Mathematical Statistics. APPENDIX D: Summary of Matrix Algebra APPENDIX E: The Linear Regression Model in Matrix Form Answers to Exploring Further Chapter Exercises Statistical Tables Glossary