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Sprache:
Englisch
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Beschreibung
¿Unique approach that includes novel topics for introductory courses, including: bootstrapping, Walsh averages, and jackknifing
Engaging examples and exercises draw readers in and facilitate work by hand and with calculators and statistical software
Designed for use inside and outside statistics departments
Accompanying data sets, R and Minitab code, and solutions manual make this textbook easy to use for students and instructors
Engaging examples and exercises draw readers in and facilitate work by hand and with calculators and statistical software
Designed for use inside and outside statistics departments
Accompanying data sets, R and Minitab code, and solutions manual make this textbook easy to use for students and instructors
¿Unique approach that includes novel topics for introductory courses, including: bootstrapping, Walsh averages, and jackknifing
Engaging examples and exercises draw readers in and facilitate work by hand and with calculators and statistical software
Designed for use inside and outside statistics departments
Accompanying data sets, R and Minitab code, and solutions manual make this textbook easy to use for students and instructors
Engaging examples and exercises draw readers in and facilitate work by hand and with calculators and statistical software
Designed for use inside and outside statistics departments
Accompanying data sets, R and Minitab code, and solutions manual make this textbook easy to use for students and instructors
Über den Autor
Douglas A. Wolfe is a Professor Emeritus in the Department of Statistics at The Ohio State University. Much of his current research is in ranked set sampling. He is also the author of a popular textbook on nonparametric statistics. Grant Schneider is a Data Scientist at Upstart Network in the San Francisco Bay area. Grant created the accompanying R package and is experienced with statistical programming for research and in the classroom. He received his PhD in Statistics from The Ohio State University.
Zusammenfassung
¿Unique approach that includes novel topics for introductory courses, including: bootstrapping, Walsh averages, and jackknifing
Engaging examples and exercises draw readers in and facilitate work by hand and with calculators and statistical software
Designed for use inside and outside statistics departments
Accompanying data sets, R and Minitab code, and solutions manual make this textbook easy to use for students and instructors
Inhaltsverzeichnis
Exploratory Data Analysis.- Exploring Bivariate Data and Categorical Data.- Designing a Survey or Experiment.- Understanding Random Events.- Sampling Distributions and Approximations.- Statistical Inference.- Appendices. Full TOC attached.
Details
| Erscheinungsjahr: | 2017 |
|---|---|
| Fachbereich: | Wahrscheinlichkeitstheorie |
| Genre: | Mathematik, Medizin, Naturwissenschaften, Technik |
| Rubrik: | Naturwissenschaften & Technik |
| Medium: | Taschenbuch |
| Inhalt: |
xviii
976 S. 34 s/w Illustr. 86 farbige Illustr. 976 p. 120 illus. 86 illus. in color. |
| ISBN-13: | 9783319560700 |
| ISBN-10: | 3319560700 |
| Sprache: | Englisch |
| Einband: | Kartoniert / Broschiert |
| Autor: |
Wolfe, Douglas A.
Schneider, Grant |
| Auflage: | 1st edition 2017 |
| Hersteller: |
Springer
Springer International Publishing AG |
| Verantwortliche Person für die EU: | Springer Verlag GmbH, Tiergartenstr. 17, D-69121 Heidelberg, juergen.hartmann@springer.com |
| Maße: | 254 x 178 x 53 mm |
| Von/Mit: | Douglas A. Wolfe (u. a.) |
| Erscheinungsdatum: | 18.10.2017 |
| Gewicht: | 1,83 kg |