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Introduction to statisticsusing inte...

Hardle, Wolfgang Karl.

Introduction to statisticsusing interactive MM*Stat elements /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Introduction to statisticsby Wolfgang Karl Hardle, Sigbert Klinke, Bernd Ronz.
Reminder of title:	using interactive MM*Stat elements /
Author:	Hardle, Wolfgang Karl.
other author:	Klinke, Sigbert.
Published:	Cham :Springer International Publishing :2015.
Description:	xx, 516 p. :ill. (some col.), digital ;24 cm.
Contained By:	Springer eBooks
Subject:	Mathematical statistics.
Online resource:	http://dx.doi.org/10.1007/978-3-319-17704-5
ISBN:	9783319177045$q(electronic bk.)

Introduction to statisticsusing interactive MM*Stat elements /
Hardle, Wolfgang Karl.

Introduction to statisticsusing interactive MM*Stat elements /[electronic resource] :by Wolfgang Karl Hardle, Sigbert Klinke, Bernd Ronz. - Cham :Springer International Publishing :2015. - xx, 516 p. :ill. (some col.), digital ;24 cm.

Basics -- One-Dimensional Frequency Distributions -- Probability Theory -- Combinatorics -- Random Variables -- Probability Distributions -- Sampling Theory -- Estimation -- Statistical Tests -- Two-dimensional Frequency Distribution -- Regression -- Time Series Analysis.

MM*Stat, together with its enhanced online version with interactive examples, offers a flexible tool that facilitates the teaching of basic statistics. It covers all the topics found in introductory descriptive statistics courses, including simple linear regression and time series analysis, the fundamentals of inferential statistics (probability theory, random sampling and estimation theory), and inferential statistics itself (confidence intervals, testing) MM*Stat is also designed to help students rework class material independently and to promote comprehension with the help of additional examples. Each chapter starts with the necessary theoretical background, which is followed by a variety of examples. The core examples are based on the content of the respective chapter, while the advanced examples, designed to deepen students' knowledge, also draw on information and material from previous chapters. The enhanced online version helps students grasp the complexity and the practical relevance of statistical analysis through interactive examples and is suitable for undergraduate and graduate students taking their first statistics courses, as well as for undergraduate students in non-mathematical fields, e.g. economics, the social sciences etc. All R codes and data sets may be downloaded via the quantlet download center www.quantlet.de.

ISBN: 9783319177045$q(electronic bk.)

Standard No.: 10.1007/978-3-319-17704-5doiSubjects--Topical Terms:

181877
Mathematical statistics.

LC Class. No.: QA276

Dewey Class. No.: 519.5

Introduction to statisticsusing interactive MM*Stat elements /
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245 1 0 $a Introduction to statistics $h [electronic resource] : $b using interactive MM*Stat elements / $c by Wolfgang Karl Hardle, Sigbert Klinke, Bernd Ronz.
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520 $a MM*Stat, together with its enhanced online version with interactive examples, offers a flexible tool that facilitates the teaching of basic statistics. It covers all the topics found in introductory descriptive statistics courses, including simple linear regression and time series analysis, the fundamentals of inferential statistics (probability theory, random sampling and estimation theory), and inferential statistics itself (confidence intervals, testing) MM*Stat is also designed to help students rework class material independently and to promote comprehension with the help of additional examples. Each chapter starts with the necessary theoretical background, which is followed by a variety of examples. The core examples are based on the content of the respective chapter, while the advanced examples, designed to deepen students' knowledge, also draw on information and material from previous chapters. The enhanced online version helps students grasp the complexity and the practical relevance of statistical analysis through interactive examples and is suitable for undergraduate and graduate students taking their first statistics courses, as well as for undergraduate students in non-mathematical fields, e.g. economics, the social sciences etc. All R codes and data sets may be downloaded via the quantlet download center www.quantlet.de.
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