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  1. Bog
  2. Matematik
  3. Sandsynlighedsregning og statistik

Statistics with JMP: Hypothesis Tests, ANOVA and Regression

Af: David Meintrup, Peter Goos Engelsk Hardback

Statistics with JMP: Hypothesis Tests, ANOVA and Regression

Af: David Meintrup, Peter Goos Engelsk Hardback
Tjek vores konkurrenters priser
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.
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Tjek vores konkurrenters priser
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kr 630
Fragt: 39 kr
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Tjek vores konkurrenters priser
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.
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Se mere i:
Produktdetaljer
Sprog: Engelsk
Sider: 656
ISBN-13: 9781119097150
Indbinding: Hardback
Udgave:
ISBN-10: 1119097150
Kategori: Sandsynlighedsregning og statistik
Udg. Dato: 12 apr 2016
Længde: 35mm
Bredde: 180mm
Højde: 254mm
Forlag: John Wiley & Sons Inc
Oplagsdato: 12 apr 2016
Forfatter(e): David Meintrup, Peter Goos
Forfatter(e) David Meintrup, Peter Goos

Kategori Sandsynlighedsregning og statistik

ISBN-13 9781119097150

Sprog Engelsk

Indbinding Hardback

Sider 656

Udgave

Længde 35mm

Bredde 180mm

Højde 254mm

Udg. Dato 12 apr 2016

Oplagsdato 12 apr 2016

Forlag John Wiley & Sons Inc

Kategori sammenhænge