資料庫系統 理論與應用 (6版)
其他會員也一起購買
【中文翻譯書】
書名：資料庫系統：理論與應用 第六版
原文書名：Database System Concepts, 6/E
作者：Abraham Silberschatz, Henry f. Korth, s. Sudarshan
翻譯：曹世昌 林詠章
出版社：東華
出版日期：2012/01/01
ISBN：9789861578316
內容簡介
本書特色
由Silberschatz、Korth、Sudarshan所著的資料庫系統概念一書目前已經發行到第六版，其內容豐富完整，且提供大量的範例，所以一直是全球資料庫課程最暢銷的教學用書之一。
本書內容的編排由淺入深，循序漸進，從關聯式資料庫的概念介紹起，接著進入資料庫的設計，資料儲存與查詢，交易管理等資料庫設計與應用範疇，然後再談到系統架構，資料倉儲、資料探勘與資料擷取、專業和進階的資料庫議題和案例探討等進階資料庫課程 所需的教學素材，內容幾乎涵蓋所有資料庫範疇，非常適合從初階到進階的資料庫學習者來使用。
然而中文翻譯版主要是以初步學習資料庫或完全不懂資料庫的讀者為對象，因此收錄原文書中較基礎的章節，其中第一章為資料庫的概述，為了讓讀者能更深刻的瞭解資料庫的概念，本章用了一個大學組織裡教師、學生、課程 的關係為例，描述資料庫的開發及特性，並以此例子貫穿全書。第二章及第三章主要介紹關聯式資料庫，包含關聯式的結構及結構化查詢語言(SQL)的結構及應用。第四章及第五章是資料庫設計部分，主要介紹資料庫設計的過程 ，包含資料庫的設計階段、實體關聯模型的繪製及關聯式資料庫的設計與正規化等。第六章、第七章、第八章及第九章主要介紹資料的儲存與查詢，其中包含儲存設備及檔案儲存結構的介紹，索引及雜湊等資料搜尋技術，位址查詢評估演算法和查詢優化等。第十章及第十一章為交易管理的部分，它提供了一個概述的方法來確保系統的單元性(atomicity)，一致性(consistency)，隔離性 (isolation)和持久性(durability)，以及從系統故障中回復的ARIES演算法。
本書適合作為資訊相關科系(如資訊工程 、資訊科學、資訊管理等)、管理科學相關科系(如流通管理、工業工程 管理、企業管理等)或電子電機相關科系之基礎資料庫課程 用書。此外，此翻譯版內容的收錄是以初學資料庫的讀者為對象，儘量避免艱深難懂的描述，並輔以大量的圖例作為範例，故也非常適合對資料庫有興趣的讀者自修或參考。
目錄
第1章 簡介
第2章 關聯式模型介紹
第3章 SQL入門
第4章 資料庫設計和E-R的模型
第5章 關聯式資料庫設計
第6章 儲存和檔案結構
第7章 索引和雜湊
第8章 查詢處理
第9章 查詢最佳化
第10章 交易
第11章 恢復系統
立即查看
Lectures on Probability and Statistics for Graduate-Level Economics
類似書籍推薦給您
【簡介】
Sound knowledge of rigorous probability and statistics methods is essential to pursue graduate studies in economics. These sorts of tools are largely required to conduct research in modern fields of economics such as economic theory, empirical economics, experimental economics, or data science for economics.
These notes provide an intuitive roadmap to navigate graduate-level courses in mathematical probability and statistics for economists. Each chapter presents questions prevalent on each topic and lays out the state-of-the-art theoretical frameworks used to address such questions. The book offers a diverse array of solved examples to help gain intuitions on abstract concepts, as well as unsolved exercises to stimulate the readers’ training in such concepts. The book presents the theoretical side of probability and statistics in a rather concise way and stresses the importance of motivating examples and observations.
【目錄】
立即查看
Introduction to Probability and Statistics (15版)
類似書籍推薦給您
【簡介】
The skill of statistical thinking is increasing in importance in this predominantly data-driven world. With Mendenhall, Beaver and Beaver's INTRODUCTION TO PROBABILITY AND STATISTICS, 15th Edition, you will be able to describe real sets of data meaningfully, what the statistical tests mean in terms of their practical applications, how to evaluate the validity of the assumptions behind statistical tests, and know what to do when statistical assumptions have been violated.
【目錄】
立即查看
Regression Analysis By Example Using R (Wiley Series in Probability and Statistics) (6版)
類似書籍推薦給您
立即查看
Fundamentals of Probability and Statistics (3版)
類似書籍推薦給您
簡介
‧Clear and easy to read:
─ plain English language
─ enough mathematics details
─ helpful graphics plots
‧ Abundant in examples and exercises.
‧ Review problems facilitate the preparation of tests.
‧ Matlab implementation elucidates fundamental concepts.
目錄
CHAPTER 1 EXPERIMENTS, EVENTS, AND THEIR PROBABILITIES
CHAPTER 2 RANDOM VARIABLES AND THEIR DISTRIBUTIONS
CHAPTER 3 CONTINUOUS RANDOM VARIABLES
CHAPTER 4 MULTIPLE RANDOM VARIABLES
CHAPTER 5 SUM OF RANDOM VARIABLES
CHAPTER 6 THE SAMPLE MEAN AND LIMIT THEOREMS
CHAPTER 7 ESTIMATION
CHAPTER 8 HYPOTHESIS TESTING
CHAPTER 9 REGRESSION
Appendix A Numerical Tables
Appendix B Matlab Functions and Operations Used in This Book
References
Answers to Selected Odd-Numbered Exercises and Review Problems
Index
原價:
1200
售價:
1128
現省:
72元
立即查看
Probability and Statistics for Economists 2022 (1版)
類似書籍推薦給您
PROBABILITY AND STATISTICS FOR ECONOMISTS 2022 (H)
ISBN： 9780691235943
類別： 經濟學Economics
出版社： PRINCETON UNIVERSITY PRESS
作者： HANSEN
年份： 2022
裝訂別： 精裝
頁數： 416頁
Probability theory is the quantitative language used to handle uncertainty and is the foundation of modern statistics. Probability and Statistics for Economists provides graduate and PhD students with an essential introduction to mathematical probability and statistical theory, which are the basis of the methods used in econometrics. This incisive textbook teaches fundamental concepts, emphasizes modern, real-world applications, and gives students an intuitive understanding of the mathematics that every economist needs to know.
> Covers probability and statistics with mathematical rigor while emphasizing intuitive explanations that are accessible to economics students of all backgrounds
> Discusses random variables, parametric and multivariate distributions, sampling, the law of large numbers, central limit theory, maximum likelihood estimation, numerical optimization, hypothesis testing, and more
> Features hundreds of exercises that enable students to learn by doing
> Includes an in-depth appendix summarizing important mathematical results as well as a wealth of real-world examples
> Can serve as a core textbook for a first-semester PhD course in econometrics and as a companion book to Bruce E. Hansen’s Econometrics
> Also an invaluable reference for researchers and practitioners
立即查看
華通書坊
