Statistics for Engineers and Scientists 5/e
作者：William Navidi
原價：NT$ 1,250
內容介紹
本書特色
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作者介紹
Description
Statistics Engineers and Scientists, Fifth Edition, focuses on practical applications of statistics using real-world data sets to motivate students, and to show direct connections to industry and research. With more than 300 examples. Statistics for Engineers and Scientists makes extensive use of examples tor comprehension of fundamental concepts and to develop intuition.
分類位置：
商管 > 統計 > 工程統計
New to this Edition
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New exercises with real data from recently published sources.
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Material on resistance to outliers has been added to Chapter 1.
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Chapter 7 now contains material on interpreting the slope of the least-squares line.
Key Features
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Flexible coverage of probability — Allows instructors wide latitude in choosing the depth and extent of the coverage of this topic.
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Extensive coverage of propagation of error — Provided in a separate chapter. the coverage is thorough and the format is flexible so coverage can be tailored to the needs of the course.
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A solid introduction to simulation methods and the bootstrap — Presented in the final sections of Chapters 4, 5, and 6.
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Extensive of linear model diagnostic procedures — Chapter 7 includes extensive covet age of residual plots, transformations of variables, and principles of variable selection in multivariate models.
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Real-World Data Sets — Contemporary real-world data sets ate used to motivate students and show direct connections to industry and research.
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Computer Output — Exercises and examples involve interpreting, as well as generating, computer output .
Table of Contents
Chapter 1: Sampling and Descriptive Statistics
Chapter 2: Probability
Chapter 3: Propagation of Error
Chapter 4: Commonly Used Distributions
Chapter 5: Confidence Intervals
Chapter 6: Hypothesis Testing
Chapter 7: Correlation and Simple Linear Regression
Chapter 8: Multiple Regression
Chapter 9: Factorial Experiments
Chapter 10: Statistical Quality Control
A Tables
B Partial Derivatives
C Bibliography
William Navidi
William Navidi received a B.A. in mathematics from New College, an M.A in mathematics from Michigan State University, and a Ph.D. in statistics from the University of California at Berkeley. Dr. Navidi is a professor of applied mathematics and statistics at the Colorado School of Mines in Golden, Colorado. He began his teaching career at the County College of Morris in Dover, New Jersey. He has taught mathematics and statistics at all levels, from developmental through the graduate level. Dr. Navidi has written two engineering statistics textbooks for McGraw-Hill and has authored more than 50 research papers, both in statistical theory and in a wide variety of applications, including computer networks, epidemiology, molecular biology, chemical engineering, and geophysics.
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