A Practical Guide to Static and Dynamic Econometric Modelling: Examples and Analysis with Python Code Embedded
暫譯: 靜態與動態計量經濟模型實用指南：嵌入Python程式碼的範例與分析

Maitra, Sarit

A Practical Guide to Static and Dynamic Econometric Modelling: Examples and Analysis with Python Code Embedded
  • 出版商: Springer
  • 出版日期: 2025-06-03
  • 售價: $4,160
  • 貴賓價: 9.8 折 $4,077
  • 語言: 英文
  • 頁數: 201
  • 裝訂: Hardcover - also called cloth, retail trade, or trade
  • ISBN: 3031868617
  • ISBN-13: 9783031868610
  • 相關分類: Python

    • 海外代購書籍(需單獨結帳)

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商品描述

This book provides a comprehensive guide to econometric modeling, combining theory with practical implementation using Python. It covers key econometric concepts, from data collection and model specification to estimation, inference, and prediction. Readers will explore linear regression, data transformations, and hypothesis testing, along with advanced topics like the Capital Asset Pricing Model and dynamic modeling techniques. With Python code examples, this book bridges theory and practice, making it an essential resource for students, finance professionals, economists, and data scientists seeking to apply econometrics in real-world scenarios.

商品描述(中文翻譯)

本書提供了經濟計量模型的全面指南，結合理論與使用 Python 的實際實施。內容涵蓋了關鍵的經濟計量概念，從數據收集和模型規範到估計、推斷和預測。讀者將探索線性回歸、數據轉換和假設檢驗，以及資本資產定價模型（Capital Asset Pricing Model）和動態建模技術等進階主題。透過 Python 代碼範例，本書將理論與實踐相結合，成為學生、金融專業人士、經濟學家和數據科學家在現實場景中應用經濟計量學的重要資源。

作者簡介

Dr. Sarit Maitra is a seasoned business leader and academic with over 25 years of experience in the industry and academia, specializing in business analytics, data science, and information technology. With a PhD and MS in Information Technology from Universiti Teknologi PETRONAS, Malaysia, he has held pivotal roles in various global organizations. Currently, as a Professor at Alliance University in Bengaluru, India, Dr. Maitra leverages his extensive industry experience to deliver courses in operations analytics, business analytics, and Big data Analytics. He is passionate about data-driven business, and his research spans business analytics (simulation, stochastic modeling), econometric modeling, predictive modeling, and optimization techniques.

作者簡介(中文翻譯)

薩里特·梅特拉博士是一位經驗豐富的商業領袖和學者，在業界和學術界擁有超過25年的經驗，專注於商業分析、數據科學和資訊技術。他擁有馬來西亞國立石油科技大學（Universiti Teknologi PETRONAS）的資訊技術博士和碩士學位，曾在多家全球性組織中擔任重要職位。目前，梅特拉博士是印度班加羅爾的聯盟大學（Alliance University）教授，利用他豐富的業界經驗教授運營分析、商業分析和大數據分析等課程。他對數據驅動的商業充滿熱情，並且他的研究涵蓋商業分析（模擬、隨機建模）、計量經濟建模、預測建模和優化技術。

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