Name: Applied Statistics and Econometrics: Basic Topics and Tools with Gretl and R (en Inglés)
Price: 1535.14 MXN
Availability: InStock
Author: Karlsen Kivedal, Bjørnar
ISBN: 9783031531415

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portada Applied Statistics and Econometrics: Basic Topics and Tools with Gretl and R (en Inglés)

Formato

Libro Físico

Autor

Bjørnar Karlsen Kivedal

Editorial

Palgrave MacMillan

Idioma

Inglés

N° páginas

246

Encuadernación

Tapa Blanda

Dimensiones

23.4 x 15.6 x 1.4 cm

Peso

0.38 kg.

ISBN13

9783031531415

Categorías

Teoría y filosofía de la economía
Econometría
Probabilidad y estadística

Applied Statistics and Econometrics: Basic Topics and Tools with Gretl and R (en Inglés)

Bjørnar Karlsen Kivedal (Autor) · Palgrave MacMillan · Tapa Blanda

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Origen: Estados Unidos (Costos de importación incluídos en el precio)

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Reseña del libro "Applied Statistics and Econometrics: Basic Topics and Tools with Gretl and R (en Inglés)"

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.