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The Digital Journey of Banking and Insurance, Volume III: Data Storage, Data Processing and Data Analysis, Liermann Volker, Stegmann Claus


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Автор: Liermann Volker, Stegmann Claus
Название:  The Digital Journey of Banking and Insurance, Volume III: Data Storage, Data Processing and Data Analysis
ISBN: 9783030788209
Издательство: Springer
Классификация:

ISBN-10: 3030788202
Обложка/Формат: Hardcover
Страницы: 223
Вес: 0.54 кг.
Дата издания: 08.11.2021
Язык: English
Размер: 24.13 x 21.59 x 2.03 cm
Ссылка на Издательство: Link
Поставляется из: Германии
Описание: This book, the third one of three volumes, focuses on data and the actions around data, like storage and processing.


Advances in Stochastic Modelling and Data Analysis

Автор: Jacques Janssen; Christos H. Skiadas; Constantin Z
Название: Advances in Stochastic Modelling and Data Analysis
ISBN: 9048145740 ISBN-13(EAN): 9789048145744
Издательство: Springer
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Цена: 16764.00 р.
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Описание: Audience: A wide readership drawn from theoretical and applied mathematicians, such as operations researchers, management scientists, statisticians, computer scientists, bankers, marketing managers, forecasters, and scientific societies such as EURO and TIMS.

The Digital Journey of Banking and Insurance, Volume II: Digitalization and Machine Learning

Автор: Liermann Volker, Stegmann Claus
Название: The Digital Journey of Banking and Insurance, Volume II: Digitalization and Machine Learning
ISBN: 3030788288 ISBN-13(EAN): 9783030788285
Издательство: Springer
Цена: 7685.00 р.
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Описание: This book, the second one of three volumes, gives practical examples by a number of use cases showing how to take first steps in the digital journey of banks and insurance companies.

The Digital Journey of Banking and Insurance, Volume I: Disruption and DNA

Автор: Liermann Volker, Stegmann Claus
Название: The Digital Journey of Banking and Insurance, Volume I: Disruption and DNA
ISBN: 303078813X ISBN-13(EAN): 9783030788131
Издательство: Springer
Цена: 7685.00 р.
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Описание: This book, one of three volumes, showcases the effective transformation of companies providing banking and insurance services.

Statistics and Data Analysis for Financial Engineering

Автор: Ruppert David
Название: Statistics and Data Analysis for Financial Engineering
ISBN: 1493926136 ISBN-13(EAN): 9781493926138
Издательство: Springer
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Цена: 12577.00 р.
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Описание: The new edition of this influential textbook, geared towards graduate or advanced undergraduate students, teaches the statistics necessary for financial engineering.

Data Mining and Crime Analysis in Financial Markets

Автор: Marius-Christian Frunza
Название: Data Mining and Crime Analysis in Financial Markets
ISBN: 0128012218 ISBN-13(EAN): 9780128012215
Издательство: Elsevier Science
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Цена: 12462.00 р.
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Описание:

Introduction to the Theories and Varieties of Modern Crime in Financial Markets explores statistical methods and data mining techniques that, if used correctly, can help with crime detection and prevention. The three sections of the book present the methods, techniques, and approaches for recognizing, analyzing, and ultimately detecting and preventing financial frauds, especially complex and sophisticated crimes that characterize modern financial markets.

The first two sections appeal to readers with technical backgrounds, describing data analysis and ways to manipulate markets and commit crimes. The third section gives life to the information through a series of interviews with bankers, regulators, lawyers, investigators, rogue traders, and others.

The book is sharply focused on analyzing the origin of a crime from an economic perspective, showing Big Data in action, noting both the pros and cons of this approach.

Statistical Analysis of Financial Data in S-Plus

Автор: Ren? Carmona
Название: Statistical Analysis of Financial Data in S-Plus
ISBN: 1441919082 ISBN-13(EAN): 9781441919083
Издательство: Springer
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Цена: 12012.00 р.
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Описание: This is the first book at the graduate textbook level to discuss analyzing financial data with S-PLUS. master students in finance and MBA`s, and to practitioners with financial data analysis concerns.

Modeling Data Irregularities and Structural Complexities in Data Envelopment Analysis

Автор: Joe Zhu; Wade D. Cook
Название: Modeling Data Irregularities and Structural Complexities in Data Envelopment Analysis
ISBN: 1441944001 ISBN-13(EAN): 9781441944009
Издательство: Springer
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Цена: 18167.00 р.
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Описание: In a relatively short period of time, data envelopment analysis (DEA) has grown into a powerful analytical tool for measuring and evaluating performance. It is a handbook treatment dealing with specific data problems, including imprecise data and undesirable outputs.

Benefit-Cost Analysis of Data Used to Allocate Funds

Автор: Bruce Spencer
Название: Benefit-Cost Analysis of Data Used to Allocate Funds
ISBN: 0387905111 ISBN-13(EAN): 9780387905112
Издательство: Springer
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Цена: 12157.00 р.
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Описание: This monograph treats the question of determining how much to spend for the collection and analysis of public data. Of course it is too late to change the 1970 census program, but the method and techniques of analysis will apply to future data programs.

Nonparametric Estimation of Educational Production and Costs using Data Envelopment Analysis

Автор: Vincent Blackburn; Shae Brennan; John Ruggiero
Название: Nonparametric Estimation of Educational Production and Costs using Data Envelopment Analysis
ISBN: 1489974687 ISBN-13(EAN): 9781489974686
Издательство: Springer
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Цена: 15372.00 р.
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Описание: Nonparametric Estimation of Educational Production and Costs using Data Envelopment Analysis

Introduction to data management functions & tools

Автор: Insurance Data Management Association (idma)
Название: Introduction to data management functions & tools
ISBN: 1634622421 ISBN-13(EAN): 9781634622424
Издательство: Gazelle Book Services
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Цена: 31744.00 р.
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Описание: This textbook is for the IDMA 201 course in the IDMA Associate Insurance Data Manager (AIDM) designation program. This course defines data management, describes the functions of data managers, provides the business case for data management and introduces the student to concepts and tools used by data managers. Whether you are an actuary, a claims professional, business analyst, or almost any of the other key functions, knowledge of data management can help you do your job better and help you prepare, understand, and protect the raw material -- the data -- so critical to your organisation. IDMA courses, workshops, and forums are highly recommended for a broad audience including new hires, IT and data modeling professionals who want to broaden their knowledge of the business side of insurance data management, anyone who manages and governs data in the industry (statistical, or management information data), and anyone who needs to use or communicate good quality data/information -- from actuaries to underwriters, and claims and analytics professionals. Students who complete the four IDMA-developed courses and successfully pass the examinations are awarded an Associate Insurance Data Manager (AIDM) designation. The IDMA courses may be taken in any order; there are no prerequisites. However, the courses are numbered to indicate a recommended sequence. For details on the designation requirements, please refer to the IDMA Website at www.IDMA.org.

Introduction to data management functions and tools

Автор: Insurance Data Management Association (idma)
Название: Introduction to data management functions and tools
ISBN: 1634622499 ISBN-13(EAN): 9781634622493
Издательство: Gazelle Book Services
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Цена: 17587.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: This study guide is for the IDMA 201 course in the IDMA Associate Insurance Data Manager (AIDM) designation program. This course defines data management, describes the functions of data managers, provides the business case for data management and introduces the student to concepts and tools used by data managers. Whether you are an actuary, a claims professional, business analyst, or almost any of the other key functions, knowledge of data management can help you do your job better and help you prepare, understand, and protect the raw material-the data-so critical to your organisation. IDMA courses, workshops, and forums are highly recommended for a broad audience including new hires, IT and data modeling professionals who want to broaden their knowledge of the business side of insurance data management, anyone who manages and governs data in the industry (statistical, or management information data), and anyone who needs to use or communicate good quality data/information -- from actuaries to underwriters, and claims and analytics professionals. Students who complete the four IDMA-developed courses and successfully pass the examinations are awarded an Associate Insurance Data Manager (AIDM) designation. The IDMA courses may be taken in any order; there are no prerequisites. However, the courses are numbered to indicate a recommended sequence. For details on the designation requirements, please refer to the IDMA Website at www.IDMA.org.

An Introduction to Analysis of Financial Data with R

Автор: Tsay
Название: An Introduction to Analysis of Financial Data with R
ISBN: 0470890819 ISBN-13(EAN): 9780470890813
Издательство: Wiley
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Цена: 18683.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: A complete set of statistical tools for beginning financial analysts from a leading authority Written by one of the leading experts on the topic, An Introduction to Analysis of Financial Data with R explores basic concepts of visualization of financial data.


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