Causal Inference in Statistics: A Primer
Judea Pearl, Madelyn Glymour, Nicholas P. Jewell
- 出版商: Wiley
- 出版日期: 2016-03-07
- 售價: $1,500
- 貴賓價: 9.5 折 $1,425
- 語言: 英文
- 頁數: 156
- 裝訂: Paperback
- ISBN: 1119186846
- ISBN-13: 9781119186847
-
相關分類:
機率統計學 Probability-and-statistics
立即出貨
買這商品的人也買了...
-
$1,834$1,737 -
$1,350$1,323 -
$630$599 -
$590$466 -
$735Fitness for Geeks: Real Science, Great Nutrition, and Good Health (Paperback)
-
$400$380 -
$1,330$1,264 -
$790$751 -
$890$846 -
$1,390$1,321 -
$1,840$1,748 -
$280$224 -
$49$47 -
$49$47 -
$690$483 -
$1,800$1,764 -
$1,155$1,097 -
$580$493 -
$450$356 -
$1,560$1,529 -
$1,000$790 -
$520$411 -
$414$393 -
$680$680 -
$1,480$1,450
相關主題
商品描述
Many of the concepts and terminology surrounding modern causal inference can be quite intimidating to the novice. Judea Pearl presents a book ideal for beginners in statistics, providing a comprehensive introduction to the field of causality. Examples from classical statistics are presented throughout to demonstrate the need for causality in resolving decision-making dilemmas posed by data. Causal methods are also compared to traditional statistical methods, whilst questions are provided at the end of each section to aid student learning.