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Financial Modeling Applications and Data Envelopment Applications

such as Data Envelopment Analysis (DEA). Arranged in two sections, the first comprises a collection of financial applications papers, while the;

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Data Envelopment Analysis in the Financial Services Industry

This book presents the methodology and applications of Data Envelopment Analysis (DEA) in measuring productivity, efficiency and;

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Applications of Management Science

envelopment analysis, and managerial applications. Section A focuses on multiple criteria applications in college course scheduling, offshore;

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Applications of Management Science

of management science to solve significant managerial decision-making problems. Volume 15 examines management science application to data envelopment;

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Applications of Management Science

of management science to solve significant managerial decision-making problems. Volume 15 examines management science application to data envelopment;

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Predictive Modeling Applications In Actu

and the predicted variables from past occurrences and exploiting this to predict future outcomes. Forecasting future financial events is a;

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Applications of Management Science

of management science methodologies, data envelopment analysis and multi-criteria decision making. The first section is focused on data envelopment;

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Arch Models For Financial Applications

applications to real data and examples worked with econometrics packages. The interactional exposition of the ARCH theory, and its implementation;

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Predictive Modeling Applications in Actuarial Science

Predictive modeling uses data to forecast future events. It exploits relationships between explanatory variables and the predicted;

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Financial Econometric Modeling

Financial econometrics brings financial theory and econometric methods together with the power of data to advance understanding of the;

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Advances In Data Envelopment Analysis

dealing with ordinal data.Advances in Data Envelopment Analysis focuses on both theoretical developments and their applications into the;

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Data Modeling of Financial Derivatives

Written in plain English and based on successful client engagements, Data Modeling of Financial Derivatives: A Conceptual Approach;

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Applications In Multi-Criteria Decision Making, Data Envelop

14 is directed toward the application of management science to multi-criteria decision making, Data Envelopment Analysis (DEA) and financial;

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Regression Modeling with Actuarial and Financial Applications

to actuarial and financial practice, including the analysis of longitudinal, two-part (frequency/severity), and fat-tailed data. Datasets;

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Regression Modeling with Actuarial and Financial Applications

to actuarial and financial practice, including the analysis of longitudinal, two-part (frequency/severity), and fat-tailed data. Datasets;

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Statistical Modeling in Biomedical Research

further collaborations. This book will appeal to industry data scientists and statisticians, researchers, and graduate students in biostatistics;

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Applied Modeling Techniques and Data Analysis 2 - Financial, Demographic, Stochastic and Statistical Models and Methods

BIG DATA, ARTIFICIAL INTELLIGENCE AND DATA ANALYSIS SET Coordinated by Jacques Janssen Data analysis is a scientific field that;

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Engineering Applications of Neural Networks

and two tutorials were carefully reviewed and selected from 84 submissions. The papers are organized in topical sections on industrial;

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Statistical Modeling in Biomedical Research: Contemporary Topics and Voices in the Field

further collaborations. This book will appeal to industry data scientists and statisticians, researchers, and graduate students in biostatistics;

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Mining Data for Financial Applications

This book constitutes revised selected papers from the 4th Workshop on Mining Data for Financial Applications, MIDAS 2019, held;

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Excel Modeling In The Fundamentals Of Corporate Finance

applications. Rarely covered content items are explored, such as corporate financial planning at full-scale using real data, realistic life-cycle;

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Wavelet Neural Networks

intelligence, advanced data analysis, time series, and forecasting in financial engineering, the book is also useful as a supplement for courses;

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Financial Modeling for Decision Making

dominated by discussions of rather esoteric and infrequently used applications. None addresses the growing need for an introduction to crucial data;

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Conceptual Modeling

discussed in the conference span the entire spectrum of conceptual modeling including research and practice in areas such as: data on the web;

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Tips & Tricks for Excel-Based Financial Modeling, Volume I

The book is an examination of Excel and the specific ways it can be used useful in various financial applications.;

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Tips & Tricks for Excel-Based Financial Modeling, Volume II

The book is an examination of Excel and the specific ways it can be used useful in various financial applications.;

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Machine Learning and Big Data Analytics Paradigms

This book is intended to present the state of the art in research on machine learning and big data analytics. The accepted chapters covered;

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