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{ "item_title" : "Advances in Econometrics, Operational Research, Data Science and Actuarial Studies", "item_author" : [" M. Kenan Terzioğlu "], "item_description" : "This volume presents techniques and theories drawn from mathematics, statistics, computer science, and information science to analyze problems in business, economics, finance, insurance, and related fields.The authors present proposals for solutions to common problems in related fields. To this end, they are showing the use of mathematical, statistical, and actuarial modeling, and concepts from data science to construct and apply appropriate models with real-life data, and employ the design and implementation of computer algorithms to evaluate decision-making processes.This book is unique as it associates data science - data-scientists coming from different backgrounds - with some basic and advanced concepts and tools used in econometrics, operational research, and actuarial sciences. It, therefore, is a must-read for scholars, students, and practitioners interested in a better understanding of the techniques and theories of these fields.", "item_img_path" : "https://covers4.booksamillion.com/covers/bam/3/03/085/253/3030852539_b.jpg", "price_data" : { "retail_price" : "199.99", "online_price" : "199.99", "our_price" : "199.99", "club_price" : "199.99", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Advances in Econometrics, Operational Research, Data Science and Actuarial Studies|M. Kenan Terzioğlu

Advances in Econometrics, Operational Research, Data Science and Actuarial Studies : Techniques and Theories

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Overview

This volume presents techniques and theories drawn from mathematics, statistics, computer science, and information science to analyze problems in business, economics, finance, insurance, and related fields.

The authors present proposals for solutions to common problems in related fields. To this end, they are showing the use of mathematical, statistical, and actuarial modeling, and concepts from data science to construct and apply appropriate models with real-life data, and employ the design and implementation of computer algorithms to evaluate decision-making processes.

This book is unique as it associates data science - data-scientists coming from different backgrounds - with some basic and advanced concepts and tools used in econometrics, operational research, and actuarial sciences. It, therefore, is a must-read for scholars, students, and practitioners interested in a better understanding of the techniques and theories of these fields.

This item is Non-Returnable

Details

  • ISBN-13: 9783030852535
  • ISBN-10: 3030852539
  • Publisher: Springer
  • Publish Date: January 2022
  • Dimensions: 9.21 x 6.14 x 1.31 inches
  • Shipping Weight: 2.31 pounds
  • Page Count: 591

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