東華大學圖書館 |

Language: English

Help

回圖書館首頁

手機版館藏查詢

Back

Switch To: Labeled | MARC Mode | ISBD

Linked to FindBook

Google Book

Amazon

博客來

Applied statistics and econometrics = basic topics and tools with Gretl and R /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Applied statistics and econometrics/ by Bjornar Karlsen Kivedal.
Reminder of title:	basic topics and tools with Gretl and R /
Author:	Karlsen Kivedal, Bjornar.
Published:	Cham :Springer Nature Switzerland : : 2024.,
Description:	xviii, 246 p. :ill., digital ;24 cm.
[NT 15003449]:	1. Introduction 2 -- Start using Gretl and R 3 -- Basic Material 4 -- Hypothesis testing 5 -- Simple linear regression 6 -- Multiple regression 7 -- Regression using dummy variables 8 -- Non linear models 9 -- Time series analysis 10 -- Other statistical tools.
Contained By:	Springer Nature eBook
Subject:	Econometrics. -
Online resource:	https://doi.org/10.1007/978-3-031-53142-2
ISBN:	9783031531422

Applied statistics and econometrics = basic topics and tools with Gretl and R /
Karlsen Kivedal, Bjornar.

Applied statistics and econometricsbasic topics and tools with Gretl and R /[electronic resource] :by Bjornar Karlsen Kivedal. - Cham :Springer Nature Switzerland :2024. - xviii, 246 p. :ill., digital ;24 cm.

1. Introduction 2 -- Start using Gretl and R 3 -- Basic Material 4 -- Hypothesis testing 5 -- Simple linear regression 6 -- Multiple regression 7 -- Regression using dummy variables 8 -- Non linear models 9 -- Time series analysis 10 -- Other statistical tools.

This accessible textbook introduces the foundations of applied econometrics and statistics for undergraduate students. It covers key topics in econometrics by using step-by-step examples in Gretl and R, providing a guide to using statistical software and the tools for econometric analysis in one self-contained resource. Taking a concise, non-technical approach, the book covers topics including simple regression and hypothesis testing, multiple regression with control variables and isolating effects, instrumental variables, dummy variables, non-linear effects, probability models, heteroskedasticity, time series analysis, and other applied statistical tools such as t-tests and chi squared tests. The book uses small data sets to easily facilitate students' transition from manual statistical calculations to using and understanding statistical software, including step-by-step examples of regression analysis, as well as additional chapters to aid with econometric notation and mathematical prerequisites, and accompanying online exercises and data sets. This book will be a valuable resource for upper undergraduate students taking courses in introductory econometrics and statistics, as well as students in business administration and other fields of study in social sciences utilising quantitative methods. Graduate students may also benefit from the book. Bjørnar Karlsen Kivedal is a Professor at the Faculty of Computer Science, Engineering and Economics at Østfold University College, Norway. He has over 15 years' experience of teaching statistics, mathematics and econometrics. He is also a researcher at Housing Lab at Oslo Metropolitan University.

ISBN: 9783031531422

Standard No.: 10.1007/978-3-031-53142-2doiSubjects--Topical Terms:

542934
Econometrics.

LC Class. No.: HB139

Dewey Class. No.: 330.015195

Applied statistics and econometrics = basic topics and tools with Gretl and R /
LDR:02994nmm a22003375a 4500 001 2370041
003 DE-He213
005 20240422110328.0
006 m d
007 cr nn 008maaau
008 241127s2024 sz s 0 eng d
020 $a 9783031531422 $q (electronic bk.)
020 $a 9783031531415 $q (paper)
024 7 $a 10.1007/978-3-031-53142-2 $2 doi
035 $a 978-3-031-53142-2
040 $a GP $c GP
041 1 $a eng $h nor
050 4 $a HB139
072 7 $a KCH $2 bicssc
072 7 $a BUS021000 $2 bisacsh
072 7 $a KCH $2 thema
082 0 4 $a 330.015195 $2 23
090 $a HB139 $b .K18 2024
100 1 $a Karlsen Kivedal, Bjornar. $3 3715101
240 1 0 $a Anvendt statistikk og økonometri. $l English
245 1 0 $a Applied statistics and econometrics $h [electronic resource] : $b basic topics and tools with Gretl and R / $c by Bjornar Karlsen Kivedal.
260 $a Cham : $b Springer Nature Switzerland : $b Imprint: Palgrave Macmillan, $c 2024.
300 $a xviii, 246 p. : $b ill., digital ; $c 24 cm.
505 0 $a 1. Introduction 2 -- Start using Gretl and R 3 -- Basic Material 4 -- Hypothesis testing 5 -- Simple linear regression 6 -- Multiple regression 7 -- Regression using dummy variables 8 -- Non linear models 9 -- Time series analysis 10 -- Other statistical tools.
520 $a This accessible textbook introduces the foundations of applied econometrics and statistics for undergraduate students. It covers key topics in econometrics by using step-by-step examples in Gretl and R, providing a guide to using statistical software and the tools for econometric analysis in one self-contained resource. Taking a concise, non-technical approach, the book covers topics including simple regression and hypothesis testing, multiple regression with control variables and isolating effects, instrumental variables, dummy variables, non-linear effects, probability models, heteroskedasticity, time series analysis, and other applied statistical tools such as t-tests and chi squared tests. The book uses small data sets to easily facilitate students' transition from manual statistical calculations to using and understanding statistical software, including step-by-step examples of regression analysis, as well as additional chapters to aid with econometric notation and mathematical prerequisites, and accompanying online exercises and data sets. This book will be a valuable resource for upper undergraduate students taking courses in introductory econometrics and statistics, as well as students in business administration and other fields of study in social sciences utilising quantitative methods. Graduate students may also benefit from the book. Bjørnar Karlsen Kivedal is a Professor at the Faculty of Computer Science, Engineering and Economics at Østfold University College, Norway. He has over 15 years' experience of teaching statistics, mathematics and econometrics. He is also a researcher at Housing Lab at Oslo Metropolitan University.
650 0 $a Econometrics. $3 542934
650 0 $a Statistics. $3 517247
650 2 4 $a Applied Statistics. $3 3300946
650 2 4 $a Quantitative Economics. $3 3538570
710 2 $a SpringerLink (Online service) $3 836513
773 0 $t Springer Nature eBook
856 4 0 $u https://doi.org/10.1007/978-3-031-53142-2
950 $a Economics and Finance (SpringerNature-41170)