Intuitive Introductory Statistics

Um unseren Shop nutzen zu können, müssen Sie Javascript in Ihrem Browser aktivieren.

Dekorationsartikel gehören nicht zum Leistungsumfang.

Sprache: Englisch

141,95 €*

inkl. MwSt.

Versandkostenfrei per Post / DHL

Lieferzeit 1-2 Wochen

Sie können kein Produkt in den Warenkorb legen, da Javascript und technisch notwendige Cookies aktiviert sein müssen.

Kategorien:

Der Artikel ist nicht in deutscher Sprache verfasst.
Die Sprache der Produktbeschreibung und Details kann in Englisch angegeben sein. Sollten Sie Verständnisprobleme haben, wenden Sie sich gerne an uns.

Beschreibung

This textbook is designed to give an engaging introduction to statistics and the art of data analysis. The unique scope includes, but also goes beyond, classical methodology associated with the normal distribution. What if the normal model is not valid for a particular data set? This cutting-edge approach provides the alternatives. It is an introduction to the world and possibilities of statistics that uses exercises, computer analyses, and simulations throughout the core lessons. These elementary statistical methods are intuitive. Counting and ranking features prominently in the text. Nonparametric methods, for instance, are often based on counts and ranks and are very easy to integrate into an introductory course.¿ The ease of computation with advanced calculators and statistical software, both of which factor into this text, allows important techniques to be introduced earlier in the study of statistics. This book's novel scope also includes measuring symmetry with Walsh averages, finding a nonparametric regression line, jackknifing, and bootstrapping¿. Concepts and techniques are explored through practical problems. Quantitative reasoning is at the core of so many professions and academic disciplines, and this book opens the door to the most modern possibilities.

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
Rubrik:	Naturwissenschaften & Technik
Medium:	Taschenbuch
Seiten:	996
Reihe:	Springer Texts in Statistics
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
Ausstattung / Beilage:	Paperback
Einband:	Kartoniert / Broschiert
Autor:	Schneider, Grant Wolfe, Douglas A.
Auflage:	1st ed. 2017
Hersteller:	Springer International Publishing Springer International Publishing AG Springer Texts in Statistics
Maße:	254 x 178 x 53 mm
Von/Mit:	Grant Schneider (u. a.)
Erscheinungsdatum:	18.10.2017
Gewicht:	1,83 kg

preigu-id: 110237811