Mohlo by sa vám tiež páčiť

Viac informácií o knihe Statistics with JMP - Hypothesis Tests, ANOVA and Regression

• Parametre knihy
• Anotácia kniha
• Obľúbené z iného súdka

Nákupom získate 203 bodov

Anotácia knihy

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.

Parametre knihy

Zaradenie knihy Knihy po anglicky Mathematics & science Mathematics Probability & statistics

• Celý názov: Statistics with JMP - Hypothesis Tests, ANOVA and Regression
• Autor: David Meintrup
• Jazyk: Angličtina
• Väzba: Pevná
• Počet strán: 648
• EAN: 9781119097150
• ISBN: 9781119097150
• ID: 03025974
• Nakladateľ: John Wiley and Sons Ltd
• Hmotnosť: 1412 g
• Rozmery: 254 × 180 × 35 mm
• Dátum vydania: 12. April 2016

Obľúbené z iného súdka

---

---

---