Using R for Introductory Econometrics - Florian Heiss

Descriere YEO:

Using R for Introductory Econometrics - Disponibil la libris.ro

Pe YEO găsești Using R for Introductory Econometrics de la Florian Heiss, în categoria Business & Economics.

Indiferent de nevoile tale, Using R for Introductory Econometrics - Florian Heiss din categoria Business & Economics îți poate aduce un echilibru perfect între calitate și preț, cu avantaje practice și moderne.

Preț: 166.78 Lei

Caracteristicile produsului Using R for Introductory Econometrics

• Brand: Florian Heiss
• Categoria: Business & Economics
• Magazin: libris.ro
• Ultima actualizare: 25-11-2024 01:40:54

Comandă Using R for Introductory Econometrics Online, Simplu și Rapid

Prin intermediul platformei YEO, poți comanda Using R for Introductory Econometrics de la libris.ro rapid și în siguranță. Bucură-te de o experiență de cumpărături online optimizată și descoperă cele mai bune oferte actualizate constant.

Descriere magazin:
Note that the second edition is now available. It seems like a good idea to get that instead.. Introduces the popular, powerful and free programming language and software package R 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 goodies Praise A very nice resource for those wanting to use R in their introductory econometrics courses. ( Jeffrey M. Wooldridge ) Using R for Introductory Econometrics is a fabulous modern resource. I know I\'m going to be using it with my students, and I recommend it to anyone who wants to learn about econometrics and R at the same time. ( David E. Giles in his blog Econometrics Beat) Topics: A gentle introduction to R 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 and research papers combining R with R Markdown or LaTeX