Statistics with JMP: Hypothesis Tests, ANOVA and Regression
Goos, Peter; Meintrup, David
ISBN 10: 1119097150 ISBN 13: 9781119097150
Published by Wiley, 2016
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Statistics with JMP: Hypothesis Tests, ANOVA and Regression
Peter Goos, University of Leuven and University of Antwerp, Belgium
David Meintrup, University of Applied Sciences Ingolstadt, Germany
A first course on basic statistical methodology using JMP
This book provides a first course on parameter estimation (point estimates and confidence interval estimates), hypothesis testing, ANOVA and simple linear regression. The authors approach combines mathematical depth with numerous examples and demonstrations using the JMP software.
Key features:
- Provides a comprehensive and rigorous presentation of introductory statistics that has been extensively classroom tested.
- Pays attention to the usual parametric hypothesis tests as well as to non-parametric tests (including the calculation of exact p-values).
- Discusses the power of various statistical tests, along with examples in JMP to enable in-sight into this difficult topic.
- Promotes the use of graphs and confidence intervals in addition to p-values.
- Course materials and tutorials for teaching are available on the book's companion website.
Masters and advanced students in applied statistics, industrial engineering, business engineering, civil engineering and bio-science engineering will find this book beneficial. It also provides a useful resource for teachers of statistics particularly in the area of engineering.
About the Author: Peter Goos, Department of Mathematics, Statistics and Actuarial Sciences, Faculty of Applied Economics of the University of Antwerp, Belgium.
David?Meintrup, Department of Mathematics, Statistics and Actuarial Sciences, Faculty of Applied Economics of the University of Antwerp, Belgium.
"About this title" may belong to another edition of this title.
Bibliographic Details
Title: Statistics with JMP: Hypothesis Tests, ANOVA...
Publisher: Wiley
Publication Date: 2016
Binding: Hardcover
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Hardcover. Condition: new. Hardcover. Statistics with JMP: Hypothesis Tests, ANOVA and Regression Peter Goos, University of Leuven and University of Antwerp, Belgium David Meintrup, University of Applied Sciences Ingolstadt, Germany A first course on basic statistical methodology using JMP This book provides a first course on parameter estimation (point estimates and confidence interval estimates), hypothesis testing, ANOVA and simple linear regression. The authors approach combines mathematical depth with numerous examples and demonstrations using the JMP software. Key features: Provides a comprehensive and rigorous presentation of introductory statistics that has been extensively classroom tested.Pays attention to the usual parametric hypothesis tests as well as to non-parametric tests (including the calculation of exact p-values).Discusses the power of various statistical tests, along with examples in JMP to enable in-sight into this difficult topic.Promotes the use of graphs and confidence intervals in addition to p-values.Course materials and tutorials for teaching are available on the book's companion website. Masters and advanced students in applied statistics, industrial engineering, business engineering, civil engineering and bio-science engineering will find this book beneficial. It also provides a useful resource for teachers of statistics particularly in the area of engineering. "Provides a comprehensive and rigorous presentation of descriptive statistics and probability theory that has been extensively classroom tested"-- This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Seller Inventory # 9781119097150
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