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Miller & Freund's Probability and Statistics for Engineers Richard A. Johnson

By: Material type: TextTextPublication details: Chennai Pearson 2020Edition: 9Description: 546ISBN:
  • 9789353945237
DDC classification:
  • 519.202 JOH
Contents:
Introduction Organization and Description of Data Probability Probability Distributions Probability Densities Sampling Distributions Inferences Concerning a Mean Comparing Two Treatments Inferences Concerning Variances Inferences Concerning Proportions Regression Analysis Analysis of Variance Factorial Experimentation Nonparametric Tests The Statistical Content of Quality Improvement Programs Application to Reliability and Life Testing
Summary: This text is rich in exercises and examples, and explores both elementary probability and basic statistics, with an emphasis on engineering and science applications. Much of the data have been collected from the author's own consulting experience and from discussions with scientists and engineers about the use of statistics in their fields. In later chapters, the book emphasizes designed experiments, especially two-level factorial design.
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Holdings
Item type Current library Collection Call number Status Date due Barcode
Books Books IIITDM Kurnool COMPUTER SCIENCE ENGINEERING Non-fiction 519.202 JOH (Browse shelf(Opens below)) Available 0005544

Introduction
Organization and Description of Data
Probability
Probability Distributions
Probability Densities
Sampling Distributions
Inferences Concerning a Mean
Comparing Two Treatments
Inferences Concerning Variances
Inferences Concerning Proportions
Regression Analysis
Analysis of Variance
Factorial Experimentation
Nonparametric Tests
The Statistical Content of Quality Improvement Programs
Application to Reliability and Life Testing

This text is rich in exercises and examples, and explores both elementary probability and basic statistics, with an emphasis on engineering and science applications. Much of the data have been collected from the author's own consulting experience and from discussions with scientists and engineers about the use of statistics in their fields. In later chapters, the book emphasizes designed experiments, especially two-level factorial design.

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