Applied Statistics for Engineers and Physical Scientists (2nd Edition)

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9780023558306: Applied Statistics for Engineers and Physical Scientists (2nd Edition)

Written by two of the leading figures in statistics, this highly regarded volume thoroughly addresses the full range of required topics.

  • provides early discussed fundamental concepts such as variability, graphical representation of data, and randomization and blocking in design of experiments.
  • provides a thorough introduction to descriptive statistics, including the importance of understanding variability, representation of data, exploratory data analysis, and time-sequence plots.
  • explores principles of probability, probability distributions, and sampling distribution theory.
  • discusses regression, design of experiments and their analysis, including factorial and fractional factorial designs.

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From the Publisher:

Written by two of the leading figures in statistics, this highly regarded volume thoroughly addresses the full range of required topics.

From the Back Cover:

This hugely anticipated revision has held true to its core strengths, while bringing the book fully up to date with modern engineering statistics. Written by two leading statisticians,Statistics for Engineers and Physical Scientists,3/e,provides the necessary bridge between basic statistical theory and interesting applications. Readers solve the same problems that engineers and scientists face, and have the opportunity to analyze real data sets. Larger-scale projects are a unique feature of this book, which let readers analyze and interpret real data, while also encouraging them to conduct their own studies and compare approaches and results. This book assumes a calculus background. Collection and Analysis of Information; Probability Models and Discrete Distributions; Continuous Probability Models; Statistical Inference: Sampling Distribution, Confidence Intervals, and Tests of Hypotheses; Statistical Process Control; Experiments with One Factor; Experiments with Two or More Factors; Regression Analysis. For all readers interested in applied statistics.

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Hogg, Robert V., Ledolter, Johannes
Published by Prentice Hall (1991)
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