Using Python for Introductory Econometrics | 誠品線上

Using Python for Introductory Econometrics

作者 Daniel Brunner/ Florian Heiss
出版社 Ingram International Inc
商品描述 Using Python for Introductory Econometrics:Introducesthepopular,powerfulandfreeprogramminglanguageandsoftwarepackagePythonFocus:implementationofstandardtoolsan

內容簡介

內容簡介 Introduces the popular, powerful and free programming language and software package Python Focus: implementation of standard tools and methods used in econometrics Compatible with "Introductory Econometrics" by Jeffrey M. Wooldridge in terms of topics, organization, terminology and notation Companion website with full text, all code for download and other goodiesTopics: A gentle introduction to Python Simple and multiple regression in matrix form and using black box routines Inference in small samples and asymptotics Monte Carlo simulations Heteroscedasticity Time series regression Pooled cross-sections and panel data Instrumental variables and two-stage least squares Simultaneous equation models Limited dependent variables: binary, count data, censoring, truncation, and sample selection Formatted reports using Jupyter Notebooks

商品規格

書名 / Using Python for Introductory Econometrics
作者 / Daniel Brunner Florian Heiss
簡介 / Using Python for Introductory Econometrics:Introducesthepopular,powerfulandfreeprogramminglanguageandsoftwarepackagePythonFocus:implementationofstandardtoolsan
出版社 / Ingram International Inc
ISBN13 / 9798648436763
ISBN10 /
EAN / 9798648436763
誠品26碼 / 2682131413003
頁數 / 430
注音版 /
裝訂 / P:平裝
語言 / 3:英文
尺寸 / 25.4x20.3x2.2
級別 / N:無
重量(g) / 848.2