Statistical Methods for Engineers

ISBN-10: 0534237061

ISBN-13: 9780534237066

Edition: 1998

List price: $136.95
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Description:

Writing from years of experience. Geoff Vining provides real engineering data that results in a truly modern approach. A running engineering case study offers conceptual continuity throughout the book. An excellent introduction discusses the engineering method and its intimate link to statistical decision making.
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Book details

List price: $136.95
Copyright year: 1998
Publisher: Brooks/Cole
Publication date: 7/22/1997
Binding: Hardcover
Pages: 496
Size: 7.75" wide x 9.75" long x 0.75" tall
Weight: 2.046
Language: English

Overture: Engineering Method and Data Collectionp. 1
Need for Statistical Methods in Engineeringp. 1
Engineering Method and Statistical Thinkingp. 3
Modelsp. 7
Obtaining Datap. 9
Samplingp. 15
Engineering Experimentsp. 19
Enumerative Versus Analytic Studiesp. 24
Purpose of Engineering Statisticsp. 25
Case Study: Manufacture of Writing Instrumentsp. 26
Data Displaysp. 27
Importance of Data Displaysp. 27
Stem-and-Leaf Displaysp. 29
Boxplotsp. 42
Using Computer Softwarep. 51
Case Studyp. 61
Need for Probability and Distributionsp. 64
Ideas for Projectsp. 65
Modeling Random Behaviorp. 67
Probabilityp. 67
Random Variables and Distributionsp. 76
Discrete Random Variablesp. 78
Continuous Random Variablesp. 96
The Normal Distributionp. 106
Random Behavior of Meansp. 112
Random Behavior of Means when the Variance Is Unknownp. 123
The Random Behavior of Sample Variancesp. 131
Normal Approximation to the Binomialp. 132
Case Studyp. 136
Estimation and Testingp. 140
Estimationp. 140
Hypothesis Testingp. 152
Inference for a Single Meanp. 169
Inference for Proportionsp. 180
Inference for Two Independent Samplesp. 186
The Paired t-Testp. 194
Inference for a Single Variancep. 202
p-Valuesp. 206
Transformations and Nonparametric Analysesp. 208
Case Studyp. 209
Ideas for Projectsp. 212
Control Chartsp. 214
Overviewp. 214
X-and R-Chartsp. 229
X-and s[superscript 2]-Chartsp. 243
X-Chartp. 251
The np-Chartp. 256
The c-Chartp. 262
Average Run Lengthsp. 266
Standard Control Charts with Runs Rulesp. 269
CUSUM Chartsp. 272
Case Studyp. 276
Ideas for Projectsp. 280
Linear Regression Analysisp. 283
Relationships Among Datap. 283
Simple Linear Regressionp. 285
Multiple Linear Regressionp. 307
Residual Analysisp. 320
Collinearity Diagnosticsp. 344
Ideas for Projectsp. 351
Designing Response Surface Experimentsp. 353
Overview of Designed Experimentsp. 354
The 2[superscript 2] Factorial Designp. 359
The 2[superscript k] Factorial Designp. 370
Half Fractions of the 2[superscript k] Factorialp. 387
Central Composite Designsp. 405
Multiple Responsesp. 419
Experimental Designs for Quality Improvementp. 428
Ideas for Projectsp. 448
Codap. 451
The Themes of This Coursep. 451
Integrating the Themesp. 453
Statistics and Engineeringp. 455
Tablesp. 456
Answers to Selected Exercisesp. 469
Indexp. 475
Table of Contents provided by Blackwell. All Rights Reserved.
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