Introduction to Probability and Statistics for Engineers and Scientists, 5/e (Paperback)
暫譯: 工程師與科學家的機率與統計導論，第5版（平裝本）

Sheldon Ross

Introduction to Probability and Statistics for Engineers and Scientists, 5/e (Paperback)

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商品描述

Introduction to Probability and Statistics for Engineers and Scientists, Fifth Edition is a proven text reference that provides a superior introduction to applied probability and statistics for engineering or science majors. The book lays emphasis in the manner in which probability yields insight into statistical problems, ultimately resulting in an intuitive understanding of the statistical procedures most often used by practicing engineers and scientists.

Real data from actual studies across life science, engineering, computing and business are incorporated in a wide variety of exercises and examples throughout the text. These examples and exercises are combined with updated problem sets and applications to connect probability theory to everyday statistical problems and situations. The book also contains end of chapter review material that highlights key ideas as well as the risks associated with practical application of the material. Furthermore, there are new additions to proofs in the estimation section as well as new coverage of Pareto and lognormal distributions, prediction intervals, use of dummy variables in multiple regression models, and testing equality of multiple population distributions.

This text is intended for upper level undergraduate and graduate students taking a course in probability and statistics for science or engineering, and for scientists, engineers, and other professionals seeking a reference of foundational content and application to these fields. 

Key Features

●Clear exposition by a renowned expert author
●Real data examples that use significant real data from actual studies across life science, engineering, computing and business
●End of Chapter review material that emphasizes key ideas as well as the risks associated with practical application of the material
●25% New Updated problem sets and applications, that demonstrate updated applications to engineering as well as biological, physical and computer science
●New additions to proofs in the estimation section
●New coverage of Pareto and lognormal distributions, prediction intervals, use of dummy variables in multiple regression models, and testing equality of multiple population distributions.

商品描述(中文翻譯)

《工程師與科學家的機率與統計導論，第五版》是一本經過驗證的參考書，為工程或科學專業的學生提供了優越的應用機率與統計的入門介紹。本書強調機率如何為統計問題提供洞見，最終使讀者對實踐中工程師和科學家最常用的統計程序有直觀的理解。

書中融入了來自生命科學、工程、計算和商業的實際研究數據，並在各種練習和範例中加以運用。這些範例和練習結合了更新的問題集和應用，將機率理論與日常統計問題和情境相連結。本書還包含章末回顧材料，突顯關鍵概念以及與實際應用相關的風險。此外，估計部分的證明也有新的補充，並新增了帕累托分佈和對數常態分佈、預測區間、多重回歸模型中虛擬變數的使用，以及多個母體分佈的相等性檢驗的內容。

本書適合高年級本科生和研究生修習科學或工程的機率與統計課程，以及尋求基礎內容和應用參考的科學家、工程師和其他專業人士。

主要特點

● 由知名專家作者清晰闡述
● 使用來自生命科學、工程、計算和商業的實際研究數據的真實數據範例
● 章末回顧材料強調關鍵概念以及與實際應用相關的風險
● 25% 新增更新的問題集和應用，展示更新的工程、生物、物理和計算科學的應用
● 估計部分的證明有新的補充
● 新增帕累托分佈和對數常態分佈、預測區間、多重回歸模型中虛擬變數的使用，以及多個母體分佈的相等性檢驗的內容。

作者簡介

Dr. Sheldon M. Ross is a professor in the Department of Industrial and Systems Engineering at the University of Southern California. He received his Ph.D. in statistics at Stanford University in 1968. He has published many technical articles and textbooks in the areas of statistics and applied probability. Among his texts are A First Course in Probability, Introduction to Probability Models, Stochastic Processes, and Introductory Statistics. Professor Ross is the founding and continuing editor of the journal Probability in the Engineering and Informational Sciences. He is a Fellow of the Institute of Mathematical Statistics, a Fellow of INFORMS, and a recipient of the Humboldt US Senior Scientist Award.

作者簡介(中文翻譯)

謝爾登·M·羅斯博士是南加州大學工業與系統工程系的教授。他於1968年在史丹佛大學獲得統計學博士學位。他在統計學和應用機率領域發表了許多技術文章和教科書。他的著作包括《機率入門》（A First Course in Probability）、《機率模型導論》（Introduction to Probability Models）、《隨機過程》（Stochastic Processes）和《初級統計學》（Introductory Statistics）。羅斯教授是期刊《工程與資訊科學中的機率》（Probability in the Engineering and Informational Sciences）的創始及持續編輯。他是數學統計學會的會士（Fellow of the Institute of Mathematical Statistics）、INFORMS的會士（Fellow of INFORMS），並獲得洪堡美國高級科學家獎（Humboldt US Senior Scientist Award）。

目錄大綱

Ch1 Introduction to Statistics
Ch2 Descriptive Statistics
Ch3 Elements of Probability
Ch4 Random Variables and Expectation
Ch5 Special Random Variables
Ch6 Distributions of Sampling Statistics
Ch7 Parameter Estimation
Ch8 Hypothesis Testing
Ch9 Regression
Ch10 Analysis of Variance
Ch11 Goodness of Fit Tests and Categorical Data Analysis
Ch12 Nonparametric Hypothesis Tests
Ch13 Quality Control
Ch14 LifeTesting
Ch15 Simulation, Bootstrap Statistical Methods, and Permutation Tests

目錄大綱(中文翻譯)

Ch1 Introduction to Statistics

Ch2 Descriptive Statistics

Ch3 Elements of Probability

Ch4 Random Variables and Expectation

Ch5 Special Random Variables

Ch6 Distributions of Sampling Statistics

Ch7 Parameter Estimation

Ch8 Hypothesis Testing

Ch9 Regression

Ch10 Analysis of Variance

Ch11 Goodness of Fit Tests and Categorical Data Analysis

Ch12 Nonparametric Hypothesis Tests

Ch13 Quality Control

Ch14 LifeTesting

Ch15 Simulation, Bootstrap Statistical Methods, and Permutation Tests

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