Probability An Introduction with Statistical Applications
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Form:Einzelkauf Download
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Sprache:Englisch
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eBook Format:PDF
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Produktdetails
Format
Kopierschutz
Ja
Family Sharing
Nein
Text-to-Speech
Nein
Erscheinungsdatum
26.11.2014
Verlag
Wiley-ScrivenerSeitenzahl
480 (Printausgabe)
Dateigröße
5570 KB
Auflage
2. Auflage
Sprache
Englisch
EAN
9781118947098
Praise for the First Edition
"This is a well-written and impressively presented
introduction to probability and statistics. The text throughout is
highly readable, and the author makes liberal use of graphs and
diagrams to clarify the theory." - The Statistician
Thoroughly updated, Probability: An Introduction with
Statistical Applications, Second Edition features a
comprehensive exploration of statistical data analysis as an
application of probability. The new edition provides an
introduction to statistics with accessible coverage of reliability,
acceptance sampling, confidence intervals, hypothesis testing, and
simple linear regression. Encouraging readers to develop a deeper
intuitive understanding of probability, the author presents
illustrative geometrical presentations and arguments without the
need for rigorous mathematical proofs.
The Second Edition features interesting and practical
examples from a variety of engineering and scientific fields, as
well as:
* Over 880 problems at varying degrees of difficulty allowing
readers to take on more challenging problems as their skill levels
increase
* Chapter-by-chapter projects that aid in the visualization of
probability distributions
* New coverage of statistical quality control and quality
production
* An appendix dedicated to the use of
Mathematica¯® and a companion website containing the
referenced data sets
Featuring a practical and real-world approach, this textbook is
ideal for a first course in probability for students majoring in
statistics, engineering, business, psychology, operations research,
and mathematics. Probability: An Introduction with Statistical
Applications, Second Edition is also an excellent reference for
researchers and professionals in any discipline who need to make
decisions based on data as well as readers interested in learning
how to accomplish effective decision making from data.
"This is a well-written and impressively presented
introduction to probability and statistics. The text throughout is
highly readable, and the author makes liberal use of graphs and
diagrams to clarify the theory." - The Statistician
Thoroughly updated, Probability: An Introduction with
Statistical Applications, Second Edition features a
comprehensive exploration of statistical data analysis as an
application of probability. The new edition provides an
introduction to statistics with accessible coverage of reliability,
acceptance sampling, confidence intervals, hypothesis testing, and
simple linear regression. Encouraging readers to develop a deeper
intuitive understanding of probability, the author presents
illustrative geometrical presentations and arguments without the
need for rigorous mathematical proofs.
The Second Edition features interesting and practical
examples from a variety of engineering and scientific fields, as
well as:
* Over 880 problems at varying degrees of difficulty allowing
readers to take on more challenging problems as their skill levels
increase
* Chapter-by-chapter projects that aid in the visualization of
probability distributions
* New coverage of statistical quality control and quality
production
* An appendix dedicated to the use of
Mathematica¯® and a companion website containing the
referenced data sets
Featuring a practical and real-world approach, this textbook is
ideal for a first course in probability for students majoring in
statistics, engineering, business, psychology, operations research,
and mathematics. Probability: An Introduction with Statistical
Applications, Second Edition is also an excellent reference for
researchers and professionals in any discipline who need to make
decisions based on data as well as readers interested in learning
how to accomplish effective decision making from data.
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