"Businesses typically encounter problems first and then seek out analytical methods to help in decision making. Business Analytics: Solving Business Problems with R by Arul Mishra and Himanshu Mishra offers practical, data-driven solutions for today's dynamic business environment. This text...

"The purpose of this chapter is to introduce the fundamentals of the R programming language, and the basic tools you will need to use this book; it is therefore an important chapter for readers new to R. The reader is advised, following reading this chapter, to proceed to Chapter 2 which,...

"This textbook shows how to bring theoretical concepts from finance and econometrics to the data. Focusing on coding and data analysis with Python, we show how to conduct research in empirical finance from scratch. We start by introducing the concepts of tidy data and coding principles using...

Chapter 1: Introduction and Fundamentals -- Chapter 2: Data Acquisition and Cleaning -- Chapter 3: Exploratory Data Analysis and Visualization -- Chapter 4: Natural Language Processing and Text Analysis -- Chapter 5: Machine Learning and Predictive Analytics -- Chapter 6: Advanced Topics. .

"Deep learning is rapidly gaining momentum in the world of finance and trading. But for many professional traders, this sophisticated field has a reputation for being complex and difficult. This hands-on guide teaches you how to develop a deep learning trading model from scratch using Python,...

This study concerns the development of decision support systems, UTASTAR method, with a Visual Basic for Application (VBA) programming environment in Excel spreadsheets. UTASTAR is a linear regression method for analyzing the respondent's preferences, while the VBA programming language is the...

The prominence of textual data in accounting research has increased dramatically. To assist researchers in understanding and using textual data, this monograph defines and describes common measures of textual data and then demonstrates the collection and processing of textual data using the...

The gegravity Python package is a collection of tools for analyzing general equilibrium, structural gravity models of international trade. It provides a framework for estimating structural gravity models, simulating counterfactual trade experiments, and conducting Monte Carlo simulations to...

he gegravity Python package is a collection of tools for analyzing general equilibrium, structural gravity models of international trade. It provides a framework for estimating structural gravity models, simulating counterfactual trade experiments, and conducting Monte Carlo simulations to...

SEMinR seeks to bring the latest state-of-the-art advances in SEM methods to the R ecosystem. This package also seeks to make describing and analyzing SEMs easier for practitioners.There have been several recent advances in the various branches of SEM that are often not reflected in existing R...

This book explains the best practices of the UNCTAD & WTO for trade analysis to the R users community. It shows how to replicate the UNCTAD & WTO's Stata codes in the Practical Guide to Trade Policy Analysis by using R. Applications and exercises are chosen from the Practical Guide to Trade...

"By moving away from flawed statistical methodologies, you'll move toward an intuitive view of probability as a mathematically rigorous statistical framework that quantifies uncertainty holistically and successfully. This book shows you how."

Constraint-logic object-oriented programming is useful in the integrated development of business software that occasionally solves constraint-logic problems. So far, work in constraint-logic object-oriented programming was limited to considering constraints that only involve logic variables of...

This paper studies how languages are shaped by the cognitive costs that using them involves. We introduce a new continuous approach to characterize the optimal resolution of the trade-off between the precision of a language and the complexity of the structures it uses, and its dependence on the...

Overtime, as the earth evolved, technology advancement also continues to evolve in the aspects of human brain matter. People are now literate and becoming more innovative in transforming the old trends or systems with the use of complicated things that intermingle with the technological aspects...

The study presents a stochastic epidemic model applied to the model of indigenous language extinction. The Susceptible-Infectious-Removed (SIR) categorization of an endemic disease has been reformulated to capture the dynamics of indigenous language decline, based on the assumption of...

The size and composition of the 10-K file have changed dramatically since the mandatory adoption of XBRL. We re-examine 10-K file size as a readability proxy by decomposing 10-K file size into its main components, which include XBRL, processed XBRL (a twin to XBRL that allows XBRL information to...

Data Science for Business with R, written by Jeffrey S. Saltz and Jeffrey M. Stanton, focuses on the concepts foundational for students starting a business analytics or data science degree program. To keep the book practical and applied, the authors feature a running case using a global airline...

"Econophysics explores the parallels between physics and economics and is an exciting topic that is attracting increasing attention. However there is a lack of literature that explains the topic from a broad perspective. This book introduces advanced undergraduates and graduate students in...

"Econophysics explores the parallels between physics and economics and is an exciting topic that is attracting increasing attention. However there is a lack of literature that explains the topic from a broad perspective. This book introduces advanced undergraduates and graduate students in...

This guide provides a practical introduction to parallel computing in economics. After a brief introduction to the basic ideas of parallelization, we show how to parallelize a prototypical application in economics using, on CPUs, Julia, Matlab, R, Python, C++-OpenMP, Rcpp–OpenMP, and C++-MPI,...

This guide provides a practical introduction to parallel computing in economics. After a brief introduction to the basic ideas of parallelization, we show how to parallelize a prototypical application in economics using, on CPUs, Julia, Matlab, R, Python, C++-OpenMP, Rcpp-OpenMP, and C++-MPI,...

Background of credit risk and Java visualization for expected exposure -- Theoretical phase of a real-world case study -- Real-world case of the practical phase for generating exposure regulatory measures in a specific bank with an internal model method -- Theoretical approach of the real-world...

"This book provides an introduction to the field of microeconometrics through the use of R. The focus is on applying current learning from the field to real world problems. It uses R to both teach the concepts of the field and show the reader how the techniques can be used. It is aimed at the...

Cryptography in Blockchain -- Bitcoin Mining and Python Programming Demonstration -- Consensus for Blockchain and Distributed Ledger Technologies -- Token Economics and Valuation -- Cryptocurrency as an Alternative Investment Class -- A Look at Security and Privacy: Bitcoin, Cryptocurrencies and...

"The book has evolved and adapted from an earlier book by the same author and provides a detailed introduction to analytical methods commonly used by fishery scientists, ecologists, and advanced students using the open source software R as a programming tool."

Bootstrapping is a conceptually simple statistical technique to increase the quality of estimates, conduct robustness checks and compute standard errors for virtually any statistic. This book provides an intelligible and compact introduction for students, scientists and practitioners. It not...