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Statistics for Technology
A01=Chris Chatfield
Accelerated Life Testing
Author_Chris Chatfield
Average Outgoing Quality Limit
Average Run Length
Balanced Incomplete Block Design
Binomial Distribution
Category=PBT
Category=PS
Cent Confidence Interval
Christopher Chatfield
Complete Factorial Experiment
Conditional Failure Rate
confidence
Control Chart
cumulative
Cumulative Distribution Function
Cumulative Frequency Diagram
Cusum Chart
data analysis techniques
Defective Item
deviation
Double Sampling Scheme
eq_bestseller
eq_isMigrated=1
eq_isMigrated=2
eq_nobargain
eq_non-fiction
eq_science
estimates
experimental design
Failure Times
hypothesis testing
intervals
introductory statistics for engineers
likelihood
maximum
probability distributions
quality assurance methods
random
Random Variable
Randomized Block Experiment
regression modeling
Rocket Engine
Simple Comparative Experiment
Single Sampling Scheme
standard
Turbo Jet
Turbo Jet Engine
Typical Test Sequence
variable
Vice Versa
Weibull Model
Product details
- ISBN 9781138469877
- Weight: 453g
- Dimensions: 152 x 229mm
- Publication Date: 28 Sep 2017
- Publisher: Taylor & Francis Ltd
- Publication City/Country: GB
- Product Form: Hardback
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One of the most popular introductory texts in its field, Statistics for Technology: A Course in Applied Studies presents the range of statistical methods commonly used in science, social science, and engineering.
The mathematics are simple and straightforward; statistical concepts are explained carefully; and real-life (rather than contrived) examples are used throughout the chapters.
Divided into three parts, the Introduction describes some simple methods of summarizing data. Theory examines the basic concepts and theory of statistics. Applications covers the planning and procedures of experiments, quality control, and life testing.
Revised throughout, this Third Edition places a higher priority on the role of computers in analysis, and many new references have been incorporated. A new appendix describes general methods of tackling statistical problems, including guidance on literature searching and report writing.
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