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001450319 001__ 1450319
001450319 003__ OCoLC
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001450319 020__ $$a9783031050107$$q(electronic bk.)
001450319 020__ $$a303105010X$$q(electronic bk.)
001450319 020__ $$z3031050096
001450319 020__ $$z9783031050091
001450319 0247_ $$a10.1007/978-3-031-05010-7$$2doi
001450319 035__ $$aSP(OCoLC)1347428586
001450319 040__ $$aYDX$$beng$$cYDX$$dGW5XE$$dEBLCP$$dOCLCF$$dUKAHL$$dOCLCQ
001450319 049__ $$aISEA
001450319 050_4 $$aTA340
001450319 08204 $$a620.0072/7$$223/eng/20221021
001450319 1001_ $$aMagrab, Edward B.
001450319 24510 $$aEngineering statistics :$$ban introduction /$$cEdward B. Magrab.
001450319 260__ $$aCham, Switzerland :$$bSpringer,$$c2022.
001450319 300__ $$a1 online resource
001450319 504__ $$aIncludes bibliographical references and index.
001450319 5050_ $$aIntro -- Preface -- Contents -- Chapter 1: Descriptive Statistics and Discrete Probability Distributions -- 1.1 Introduction -- 1.2 Definitions -- 1.3 Statistical Measures and the Display of Data -- 1.3.1 Histograms -- 1.3.2 Sample Median and Quartiles -- 1.3.3 Sample Mean and the Expected Value -- 1.3.4 Sample Variance -- 1.3.5 Probability Mass Function -- 1.3.6 Independent Random Variables -- 1.3.7 Unbiased Variance -- 1.4 Binomial and Poisson Distributions -- 1.4.1 Binomial Distribution -- 1.4.2 Poisson Distribution -- 1.5 Definitions Regarding Measurements -- 1.6 Exercises
001450319 5058_ $$aChapter 2: Continuous Probability Distributions, Confidence Intervals, and Hypothesis Testing -- 2.1 Introduction -- 2.2 Continuous Probability Distributions -- 2.2.1 Introduction -- 2.2.2 Definitions Using Continuous Probability Distributions -- 2.3 Normal Distribution -- 2.3.1 Normal Distribution -- 2.3.2 Combining Independent Normally Distributed Random Variables -- 2.3.3 Probability Plots for the Normal Distribution -- 2.3.4 Central Limit Theorem -- 2.3.5 Lognormal Distribution -- 2.4 Chi Square Distribution -- 2.5 Student t Distribution -- 2.6 Differences in the Means -- 2.6.1 Paired Samples
001450319 5058_ $$a2.7 f Distribution -- 2.8 Weibull Distribution -- 2.9 Hypothesis Testing -- 2.9.1 Introduction -- 2.9.2 p-Value -- 2.9.3 Examples of Hypothesis Testing -- 2.9.4 Type I and Type II Errors -- 2.10 Exercises -- Reference -- Chapter 3: Regression Analysis and the Analysis of Variance -- 3.1 Introduction -- 3.2 Simple Linear Regression and the Analysis of Variance -- 3.2.1 Simple Linear Regression -- 3.2.2 Analysis of Variance (ANOVA) -- 3.2.3 Analysis of Residuals -- 3.3 Multiple Linear Regression -- 3.4 Exercises -- Chapter 4: Experimental Design -- 4.1 Introduction
001450319 5058_ $$a4.2 One-Factor Analysis of Variance -- 4.3 Randomized Complete Block Design -- 4.4 Two Factor Experiment -- 4.5 2k-Factorial Experiments -- 4.6 Exercises -- Appendix A: Moment Generating Function -- A.1 Moment Generating Function -- A.2 Moment Generating Function of the Chi Square Distribution -- A.3 Independence of Mean and Variance for Normally Distributed Independent Random Variables -- Bibliography -- Internet -- Index
001450319 506__ $$aAccess limited to authorized users.
001450319 520__ $$aThis book presents a concise and focused introduction to engineering statistics, emphasizing topics and concepts that a practicing engineer is mostly likely to use: the display of data, confidence intervals, hypothesis testing, fitting straight lines to data, and designing experiments to find the impact of process changes on a system or its output. It introduces the language of statistics, derives equations with sufficient detail so that there is no mystery as to how they came about, makes extensive use of tables to collect and summarize important formulas and concepts, and utilizes enhanced graphics that are packed with visual information to illustrate the meaning of the equations and their usage. The book can be used as an introduction to the subject, to refresh ones knowledge of engineering statistics, to complement course materials, as a study guide, and to provide a resource in laboratories where data acquisition and analysis are performed. Created specifically for the book are 16 interactive graphics (IGs) that can be used to replicate all numerical calculations appearing in the book and many of its figures, numerically evaluate all formulas appearing in tables, solve all exercises, and determine probabilities and critical values for commonly used probability distributions. After downloading a free program, the IGs are ready to use and are self-explanatory in the context of the material.
001450319 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed October 21, 2022).
001450319 650_0 $$aEngineering$$xStatistical methods.
001450319 655_0 $$aElectronic books.
001450319 77608 $$iPrint version: $$z3031050096$$z9783031050091$$w(OCoLC)1309863816
001450319 852__ $$bebk
001450319 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-031-05010-7$$zOnline Access$$91397441.1
001450319 909CO $$ooai:library.usi.edu:1450319$$pGLOBAL_SET
001450319 980__ $$aBIB
001450319 980__ $$aEBOOK
001450319 982__ $$aEbook
001450319 983__ $$aOnline
001450319 994__ $$a92$$bISE