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001381438 020__ $$a9781003094227$$q(electronic book)
001381438 020__ $$a1003094228$$q(electronic book)
001381438 020__ $$a9781000469615$$q(electronic book)
001381438 020__ $$a1000469611$$q(electronic book)
001381438 020__ $$z9781000469622$$q(electronic book)
001381438 020__ $$z100046962X$$q(electronic book)
001381438 020__ $$z0367555964
001381438 020__ $$z9780367555962
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001381438 050_4 $$aTA340$$b.M54 2022
001381438 08204 $$a519.5$$223
001381438 1001_ $$aMiddleton, James A.,$$eauthor.
001381438 24510 $$aExperimental statistics and data analysis for mechanical and aerospace engineers /$$cJames A. Middleton.
001381438 250__ $$aFirst edition.
001381438 264_1 $$aBoca Raton, FL :$$bCRC Press, Taylor & Francis Group,$$c2022.
001381438 264_4 $$c©2022
001381438 300__ $$a1 online resource :$$billustrations (black and white).
001381438 336__ $$atext$$btxt$$2rdacontent
001381438 337__ $$acomputer$$bc$$2rdamedia
001381438 338__ $$aonline resource$$bcr$$2rdacarrier
001381438 4901_ $$aAdvances in applied mathematics
001381438 500__ $$a"A Chapman & Hall book."
001381438 504__ $$aIncludes bibliographical references.
001381438 5050_ $$aCover -- Half Title -- Series Page -- Title Page -- Copyright Page -- Dedication -- Contents -- Preface -- List of Figures -- List of Tables -- Symbols -- I -- 1. Introduction -- 1.1. Approach of This Book -- 1.1.1. Data Modeling -- 1.1.2. Building an Empirical Mindset -- 1.2. The Role of Data -- 1.3. References -- 1.4. Chapter 1 Study Problems -- 2. Dealing with Variation -- 2.1. Measurement -- 2.1.1. Natural Variation -- 2.1.1.1. Shape of Data -- 2.2. Distribution -- 2.2.1. Histogram -- 2.2.1.1. How to Draw a Histogram -- 2.2.1.2. Comparing Histograms
001381438 5058_ $$a2.3. Accuracy and Precision of Measurements -- 2.3.1. Accuracy-Systematic Error -- 2.3.1.1. Sources of Systematic Error -- 2.3.2. Precision-Random Error -- 2.4. Continuous Versus Discrete Data -- 2.4.1. Discrete Random Variables -- 2.4.2. Continuous Random Variables -- 2.5. Law of Large Numbers -- 2.6. Central Limit Theorem -- 2.7. Representativeness -- 2.7.1. "Simple" Random Sampling -- 2.8. References -- 2.9. Chapter 2 Study Problems -- 3. Types of Data -- 3.1. Scales of Measure -- 3.1.1. Nominal Data -- 3.1.2. Ordinal Data -- 3.1.3. Interval Data -- 3.1.4. Ratio Data
001381438 5058_ $$a3.2. Population Parameters and Sample Statistics -- 3.2.1. Parameters -- 3.2.1.1. Population Parameters -- 3.2.1.2. What Are the Important Sample Statistics That Model Population Parameters? -- 3.2.1.3. Nominal Data: -- 3.2.1.4. Symmetry of the Binomial Distribution -- 3.2.1.5. Ordinal Data: -- 3.2.1.6. Interval -- 3.3. The Sample Mean and Standard Deviation as Robust Estimators -- 3.4. References -- 3.5. Study Problems for Chapter 3 -- 4. Introduction to Probability -- 4.1. Simple Probability -- 4.2. Conditional Probability -- 4.3. Moments of a Distribution -- 4.3.1. The Mean as a Moment
001381438 5058_ $$a4.3.2. The Variance as a Moment -- 4.3.3. Summary: Bringing Probability, Moments, and Sample Statistics -- 4.4. Probability Density Function and Cumulative Distribution -- 4.5. Summary of Probability -- 4.6. Study Problems for Chapter 4 -- 5. The Sampling Distribution of the Mean -- 5.1. The General Logic of the Sampling Distribution -- 5.2. Sampling Distribution of the Mean -- 5.3. The Standard Normal Distribution -- 5.3.1. Probability Density of the Standard Normal Distribution -- 5.3.2. Now Let's Do Some Real Stats with the Normal Distribution! -- 5.3.3. The Z-test -- 5.4. Summary
001381438 5058_ $$a5.5. References -- 5.6. Study Problems for Chapter 5 -- II. Testing Hypotheses -- 6. The Ten Building Blocks of Experimental Design -- 6.0.1. Notation -- 6.1. Basic Experimental Designs -- 6.1.1. One-shot Case Study -- 6.1.2. One-sample, Pre-post Design -- 6.1.3. Static Sample Comparison -- 6.1.4. Random Sample Design -- 6.1.5. Pre-post Randomized Sample -- 6.1.6. Factorial Designs -- 6.1.7. Randomized Block Factorial Designs -- 6.1.8. One-shot Repeated Measures -- 6.1.9. Randomized Factors Repeated Measures -- 6.1.10. Ex-post-facto -- 6.1.11. Time Series -- 6.2. Summary -- 6.3. References.
001381438 506__ $$aAccess limited to authorized users
001381438 533__ $$aElectronic reproduction.$$bAnn Arbor, MI$$nAvailable via World Wide Web.
001381438 588__ $$aDescription based on online resource; title from digital title page (viewed on December 22, 2021).
001381438 650_0 $$aEngineering$$xStatistical methods.
001381438 650_0 $$aEngineering$$xData processing.
001381438 655_0 $$aElectronic books
001381438 7102_ $$aProQuest (Firm)
001381438 77608 $$iPrint version:$$aMIDDLETON, JAMES A.$$tEXPERIMENTAL STATISTICS AND DATA ANALYSIS FOR MECHANICAL AND AEROSPACE ENGINEERS.$$d[Place of publication not identified] : CHAPMAN & HALL CRC, 2021$$z0367555964
001381438 830_0 $$aAdvances in applied mathematics.
001381438 852__ $$bebk
001381438 85640 $$3GOBI DDA$$uhttps://univsouthin.idm.oclc.org/login?url=https://ebookcentral.proquest.com/lib/usiricelib-ebooks/detail.action?docID=6792197$$zOnline Access
001381438 909CO $$ooai:library.usi.edu:1381438$$pGLOBAL_SET
001381438 980__ $$aBIB
001381438 980__ $$aEBOOK
001381438 982__ $$aEbook
001381438 983__ $$aOnline