Statistics for Business and Economics 10/e (10版)
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Statistics for Business and Economics 10/e
+作者：Newbold
+年份：2023 年10 版
+ISBN：9781292436845
+書號：PS0505PC
+規格：平裝/套色
+頁數：800
+出版商：Pearson(Asia)
本書特色
Statistics for Business and Economics enables students to conduct serious analysis of applied problems rather than running simple canned applications. This text is also at a mathematically higher level than most business statistics texts and provides students with the knowledge they need to become stronger analysts for future managerial positions.
The eighth edition of this book has been revised and updated to provide students with improved problem contexts for learning how statistical methods can improve their analysis and understanding of business and economics.
Available with MyStatLab. MyStatLab courses use the rock solid Pearson MathXL technology for online tutorial and homework exercises that regenerate algorithmically for unlimited practice and mastery. MyStatLab courses also include essay questions that can be assigned for online tests and quizzes and other resources designed specifically to help students succeed in Statistics. Use this proven technology to help you and your students succeed. Visit mystatlab.com for more information.
目錄
Chapter 1: Describing Data: Graphical
Chapter 2: Describing Data: Numerical
Chapter 3: Probability
Chapter 4: Discrete Random Variables and Probability Distributions
Chapter 5: Continuous Random Variables and Probability Distributions
Chapter 6: Sampling and Sampling Distributions
Chapter 7: Estimation: Single Population
Chapter 8: Estimation: Additional Topics
Chapter 9: Hypothesis Testing: Single Population
Chapter 10: Hypothesis Testing: Additional Topics
Chapter 11: Simple Regression
Chapter 12: Multiple Regression
Chapter 13: Additional Topics in Regression Analysis
Chapter 14: Analysis of Categorical Data
Chapter 15: Analysis of Variance
Chapter 16: Time-Series Analysis and Forecasting
Chapter 17: Additional Topics in Sampling
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現省:
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Introduction to Linear Algebra 6/e (6版)
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Introduction to Linear Algebra 6/e
作者：Gilbert Strang
ISBN：9786269708109
年份：2023
出版商：New Moon Education
頁數/規格：440頁/平裝單色
Description
Linear algebra now rivals or surpasses calculus in importance for people working in quantitative fields of all kinds: engineers, scientists, economists and business people. Gilbert Strang has taught linear algebra at MIT for more than 50 years and the course he developed has become a model for teaching around the world. His video lectures on MIT OpenCourseWare have been viewed over ten million times and his twelve textbooks are popular with readers worldwide.
This sixth edition of Professor Strang's most popular book, Introduction to Linear Algebra, introduces the ideas of independent columns and the rank and column space of a matrix early on for a more active start. Then the book moves directly to the classical topics of linear equations, fundamental subspaces, least squares, eigenvalues and singular values – in each case expressing the key idea as a matrix factorization. The final chapters of this edition treat optimization and learning from data: the most active application of linear algebra today. Everything is explained thoroughly in Professor Strang's characteristic clear style. It is sure to delight and inspire the delight and inspire the next generation of learners.
Table of Contents
1 Vectors and Matrices
2 Solving Linear Equations Ax = b
3 The Four Fundamental Subspaces
4 Orthogonality
5 Determinants
6 Eigenvalues and Eigenvectors
7 The Singular Value Decomposition (SVD)
8 Linear Transformations
9 Linear Algebra in Optimization
10 Learning from Data
原價:
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現省:
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書名：進修、教學：電機機械精釋 子敬
作者：子敬
出版社：超級科技
出版日期：2015/05/01
ISBN：9789579831208
內容簡介
本書兼具教學及進修的功能，內容著重觀念的建立、理論的探討及問題的解析。
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高頻交換式電源供應器原理與設計
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第一章 交換式電源供應器
第二章 電源輸入部份
第三章 電源轉換器的種類
第四章 轉換器功率電晶體的設計
第五章 高頻率的功率變壓器
第六章 電源輸出部份：整流器、電感器與電容器
第七章 轉換器穩壓器的控制電路
第八章 轉換式電源轉換器周邊附加電路與元件
第九章 轉換式電源供給器穩定度分析與設計
第十章 電磁與射頻干擾(EMI-RFI)的考慮
第十一章 電源供給器電氣安全標準
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This significantly revised edition presents a broad introduction to Control Systems and balances new, modern methods with the more classical. It is an excellent text for use as a first course in Control Systems by undergraduate students in all branches of engineering and applied mathematics. The book contains: A comprehensive coverage of automatic control, integrating digital and computer control techniques and their implementations, the practical issues and problems in Control System design; the three-term PID controller, the most widely used controller in industry today; numerous in-chapter worked examples and end-of-chapter exercises. This second edition also includes an introductory guide to some more recent developments, namely fuzzy logic control and neural networks.
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Statistics and Data Analysis for Financial Engineering with R examples 2015<SV>
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Probability and Statistica for Engineering and Science (9版)
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Probability and Statistics for Engineering and the Science (Original)作 / 譯 者 ：Jay L. DevoreI S B N - 13 ：9781305251809I S B N - 10 ：1305251806類 別：機率／機率與統計
版 次：9 版年 份：2016規 格：715 頁出 版 商：Cengage Learning
Make statistics practical for engineering students in any specialty with PROBABILITY AND STATISTICS FOR ENGINEERING AND THE SCIENCES, 9th Edition. Always a market leader, this calculus-based text offers a comprehensive introduction to probability and statistics while demonstrating how professionals put concepts, models, and methodologies to work in today’s scientific careers. Jay Devore, an award-winning professor and internationally recognized author and statistician, stresses lively examples and engineering activities to drive home the numbers without overly rigorous mathematical development and derivations. A variety of examples, practice problems, sample tests, and simulations based on real data and issues helps students intuitively understand the material. Proven and accurate, PROBABILITY AND STATISTICS FOR ENGINEERING AND THE SCIENCES, 9th Edition also includes graphics and screen shots from SAS®, MINITAB®, and Java™ Applets to give students a solid perspective of statistics in action.
目錄
Ch 1 Overview and Descriptive Statistics
Ch 2 Probability
Ch 3 Discrete Random Variables and Probability Distributions
Ch 4 Continuous Random Variables and Probability Distributions
Ch 5 Joint Probability Distributions and Random Samples
Ch 6 Point Estimation
Ch 7 Statistical Intervals Based on a Single Sample
Ch 8 Tests of Hypotheses Based on a Single Sample
Ch 9 Inferences Based on Two Samples
Ch10 The Analysis of Variance
Ch11 Multifactor Analysis of Variance
Ch12 Simple Linear Regression and Correlation
Ch13 Nonlinear and Multiple Regression
Ch14 Goodness-of-Fit Tests and Categorical Date Analysis
Ch15 Distribution-Free Procedures
Ch16 Quality Control Methods
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Lectures on Probability and Statistics for Graduate-Level Economics
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【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.
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Discover how important statistical methods are for today's managers and economists as you learn how to apply these tools to real business problems with Keller's best-selling STATISTICS FOR MANAGEMENT AND ECONOMICS. This edition emphasizes applications over calculations. A unique three-step "ICI" approach to problem solving teaches you how to "identify" the correct statistical technique by focusing on the problem objective and data type; "compute" the statistics by hand or using Excel®; and, finally, "interpret" the results within the context of the problem. Data-driven examples and cases demonstrate how marketing managers, financial analysts, accountants and economists rely on statistical applications. In addition, thousands of exercises and datasets use real data from individuals, sports teams or the stock market to let you practice what you've learned.
【目錄】
1 What is Statistics?
2 Graphical Descriptive Techniques
3 Numerical Descriptive Techniques
4 Probability
5 Random Variables and Discrete Probability Distributions
6 Continuous Probability Distributions
7 Sampling Distributions
8 Introduction to Estimation
9 Introduction to Hypothesis Testing
10 Inference About a Population
11 Inference about Comparing Two Populations
12 Analysis of Variance
13 Chi-Squared Tests
14 Simple Linear Regression and Correlation
Appendix A Data File Sample Statistics
Appendix B Tables
Appendix C A Guide to Statistical Techniques
Appendix D Index of Excel Output and Instructions
Appendix E Management and Economic Applications
Appendix F Answers to Selected Even-Numbered Exercises
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