Causal Inference in Statistics: A Primer (Paperback)
Judea Pearl, Madelyn Glymour, Nicholas P. Jewell
- 出版商: Wiley
- 出版日期: 2016-03-07
- 售價: $1,920
- 貴賓價: 9.5 折 $1,824
- 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 (庫存=1)
買這商品的人也買了...
-
$3,087Categorical Data Analysis, 3/e (Hardcover)
-
$420$357 -
$1,640$1,558 -
$1,680$1,646 -
$1,842Linear Algebra and Learning from Data (Hardcover)
-
$3,590$3,411 -
$1,715Introduction to Probability, 2/e (Hardcover)
-
$2,040$1,938 -
$1,480$1,450 -
$1,620$1,539 -
$580$458 -
$450$383 -
$658構建企業級推薦系統:算法、工程實現與案例分析
-
$500$395 -
$330$297 -
$499$394 -
$2,146Introduction to Algorithms, 4/e (Hardcover)
-
$5,040$4,788 -
$534$507 -
$580$458 -
$499$394 -
$2,166$2,052 -
$650$507 -
$490$387 -
$380$342
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.
商品描述(中文翻譯)
現代因果推論的許多概念和術語對於初學者來說可能相當令人生畏。Judea Pearl提供了一本適合統計學初學者的書籍,全面介紹了因果關係的領域。書中穿插著來自經典統計學的例子,以展示在解決由數據引起的決策困境時,因果關係的必要性。同時,將因果方法與傳統統計方法進行比較,並在每個章節結尾提供問題以幫助學生學習。