Exploratory Data Analysis In Business And Economics

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Exploratory Data Analysis in Business and Economics

Author : Thomas Cleff
Publisher : Springer Science & Business Media
Page : 215 pages
File Size : 51,9 Mb
Release : 2013-11-12
Category : Business & Economics
ISBN : 9783319015170

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Exploratory Data Analysis in Business and Economics by Thomas Cleff Pdf

In a world in which we are constantly surrounded by data, figures, and statistics, it is imperative to understand and to be able to use quantitative methods. Statistical models and methods are among the most important tools in economic analysis, decision-making and business planning. This textbook, “Exploratory Data Analysis in Business and Economics”, aims to familiarise students of economics and business as well as practitioners in firms with the basic principles, techniques, and applications of descriptive statistics and data analysis. Drawing on practical examples from business settings, it demonstrates the basic descriptive methods of univariate and bivariate analysis. The textbook covers a range of subject matter, from data collection and scaling to the presentation and univariate analysis of quantitative data, and also includes analytic procedures for assessing bivariate relationships. It does not confine itself to presenting descriptive statistics, but also addresses the use of computer programmes such as Excel, SPSS, and STATA, thus treating all of the topics typically covered in a university course on descriptive statistics. The German edition of this textbook is one of the “bestsellers” on the German market for literature in statistics.

Data Analysis for Business, Economics, and Policy

Author : Gábor Békés,Gábor Kézdi
Publisher : Cambridge University Press
Page : 741 pages
File Size : 49,9 Mb
Release : 2021-05-06
Category : Business & Economics
ISBN : 9781108483018

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Data Analysis for Business, Economics, and Policy by Gábor Békés,Gábor Kézdi Pdf

A comprehensive textbook on data analysis for business, applied economics and public policy that uses case studies with real-world data.

Exploratory Data Analysis in Empirical Research

Author : Manfred Schwaiger,Otto Opitz
Publisher : Springer Science & Business Media
Page : 547 pages
File Size : 52,9 Mb
Release : 2012-12-06
Category : Computers
ISBN : 9783642557217

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Exploratory Data Analysis in Empirical Research by Manfred Schwaiger,Otto Opitz Pdf

This volume presents a selection of new methods and approaches in the field of Exploratory Data Analysis. The reader will find numerous ideas and examples for cross disciplinary applications of classification and data analysis methods in fields such as data and web mining, medicine and biological sciences as well as marketing, finance and management sciences.

Applied Statistics and Multivariate Data Analysis for Business and Economics

Author : Thomas Cleff
Publisher : Springer
Page : 488 pages
File Size : 48,6 Mb
Release : 2019-07-10
Category : Business & Economics
ISBN : 9783030177676

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Applied Statistics and Multivariate Data Analysis for Business and Economics by Thomas Cleff Pdf

This textbook will familiarize students in economics and business, as well as practitioners, with the basic principles, techniques, and applications of applied statistics, statistical testing, and multivariate data analysis. Drawing on practical examples from the business world, it demonstrates the methods of univariate, bivariate, and multivariate statistical analysis. The textbook covers a range of topics, from data collection and scaling to the presentation and simple univariate analysis of quantitative data, while also providing advanced analytical procedures for assessing multivariate relationships. Accordingly, it addresses all topics typically covered in university courses on statistics and advanced applied data analysis. In addition, it does not limit itself to presenting applied methods, but also discusses the related use of Excel, SPSS, and Stata.

Exploratory Data Analytics for Healthcare

Author : R. Lakshmana Kumar,R. Indrakumari,B. Balamurugan,Achyut Shankar
Publisher : CRC Press
Page : 312 pages
File Size : 44,8 Mb
Release : 2021-12-24
Category : Computers
ISBN : 9781000527018

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Exploratory Data Analytics for Healthcare by R. Lakshmana Kumar,R. Indrakumari,B. Balamurugan,Achyut Shankar Pdf

Exploratory data analysis helps to recognize natural patterns hidden in the data. This book describes the tools for hypothesis generation by visualizing data through graphical representation and provides insight into advanced analytics concepts in an easy way. The book addresses the complete data visualization technologies workflow, explores basic and high-level concepts of computer science and engineering in medical science, and provides an overview of the clinical scientific research areas that enables smart diagnosis equipment. It will discuss techniques and tools used to explore large volumes of medical data and offers case studies that focus on the innovative technological upgradation and challenges faced today. The primary audience for the book includes specialists, researchers, graduates, designers, experts, physicians, and engineers who are doing research in this domain.

Statistics for Economics, Business Administration, and the Social Sciences

Author : Erling B. Andersen,Nils-Erik Jensen,Nils Kousgaard
Publisher : Springer Science & Business Media
Page : 449 pages
File Size : 51,5 Mb
Release : 2012-12-06
Category : Business & Economics
ISBN : 9783642955280

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Statistics for Economics, Business Administration, and the Social Sciences by Erling B. Andersen,Nils-Erik Jensen,Nils Kousgaard Pdf

This book is intended as a textbook for a first course in applied statistics for students of economics, public administration and business administration. A limited knowledge of mathematics and - in one single chapter - some knowledge of elementary matrix algebra is required for understanding the text. Complicated mathematical proofs are avoided and the explanations are based on intuition and numerical examples. The aim of this book is to enable the student to understand the reasoning underlying a statistical analysis and to apply statistical methods to problems likely to be met within the fields of economics, public administration and business administration. The topics covered by the book are: - methods for exploratory data analysis - probability theory and standard statistical distributions - statistical inference theory - and three main areas of application: regression analysis, survey sampling and contingency tables. The treatment of exploratory data analysis, regression analysis and the analysis of contingency tables are based on the most recent theoretical developments in these areas. Most of the examples have never been presented before in English textbooks.

Exploratory Data Analysis Using Fisher Information

Author : Roy Frieden,Robert A. Gatenby
Publisher : Springer Science & Business Media
Page : 375 pages
File Size : 45,7 Mb
Release : 2010-05-27
Category : Computers
ISBN : 9781846287770

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Exploratory Data Analysis Using Fisher Information by Roy Frieden,Robert A. Gatenby Pdf

This book uses a mathematical approach to deriving the laws of science and technology, based upon the concept of Fisher information. The approach that follows from these ideas is called the principle of Extreme Physical Information (EPI). The authors show how to use EPI to determine the theoretical input/output laws of unknown systems. Will benefit readers whose math skill is at the level of an undergraduate science or engineering degree.

Handbook of Research on Mathematical Modeling for Smart Healthcare Systems

Author : Samanta, Debabrata,Singh, Debabrata
Publisher : IGI Global
Page : 503 pages
File Size : 52,5 Mb
Release : 2022-06-24
Category : Computers
ISBN : 9781668445822

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Handbook of Research on Mathematical Modeling for Smart Healthcare Systems by Samanta, Debabrata,Singh, Debabrata Pdf

Advances in healthcare technologies have offered real-time guidance and technical assistance for diagnosis, monitoring, operation, and interventions. The development of artificial intelligence, machine learning, internet of things technology, and smart computing techniques are crucial in today’s healthcare environment as they provide frictionless and transparent financial transactions and improve the overall healthcare experience. This, in turn, has far-reaching effects on economic, psychological, educational, and organizational improvements in the way we work, teach, learn, and provide care. These advances must be studied further in order to ensure they are adapted and utilized appropriately. The Handbook of Research on Mathematical Modeling for Smart Healthcare Systems presents the latest research findings, ideas, innovations, developments, and applications in the field of modeling for healthcare systems. Furthermore, it presents the application of innovative techniques to complex problems in the case of healthcare. Covering a range of topics such as artificial intelligence, deep learning, and personalized healthcare services, this reference work is crucial for engineers, healthcare professionals, researchers, academicians, scholars, practitioners, instructors, and students.

Data Science for Business and Decision Making

Author : Luiz Paulo Fávero,Patrícia Belfiore
Publisher : Academic Press
Page : 1240 pages
File Size : 49,9 Mb
Release : 2019-04-11
Category : Business & Economics
ISBN : 9780128112175

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Data Science for Business and Decision Making by Luiz Paulo Fávero,Patrícia Belfiore Pdf

Data Science for Business and Decision Making covers both statistics and operations research while most competing textbooks focus on one or the other. As a result, the book more clearly defines the principles of business analytics for those who want to apply quantitative methods in their work. Its emphasis reflects the importance of regression, optimization and simulation for practitioners of business analytics. Each chapter uses a didactic format that is followed by exercises and answers. Freely-accessible datasets enable students and professionals to work with Excel, Stata Statistical Software®, and IBM SPSS Statistics Software®. Combines statistics and operations research modeling to teach the principles of business analytics Written for students who want to apply statistics, optimization and multivariate modeling to gain competitive advantages in business Shows how powerful software packages, such as SPSS and Stata, can create graphical and numerical outputs

Applied Data Mining for Business and Industry

Author : Paolo Giudici,Silvia Figini
Publisher : John Wiley & Sons
Page : 277 pages
File Size : 53,9 Mb
Release : 2009-05-26
Category : Mathematics
ISBN : 9780470058862

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Applied Data Mining for Business and Industry by Paolo Giudici,Silvia Figini Pdf

The increasing availability of data in our current, information overloaded society has led to the need for valid tools for its modelling and analysis. Data mining and applied statistical methods are the appropriate tools to extract knowledge from such data. This book provides an accessible introduction to data mining methods in a consistent and application oriented statistical framework, using case studies drawn from real industry projects and highlighting the use of data mining methods in a variety of business applications. Introduces data mining methods and applications. Covers classical and Bayesian multivariate statistical methodology as well as machine learning and computational data mining methods. Includes many recent developments such as association and sequence rules, graphical Markov models, lifetime value modelling, credit risk, operational risk and web mining. Features detailed case studies based on applied projects within industry. Incorporates discussion of data mining software, with case studies analysed using R. Is accessible to anyone with a basic knowledge of statistics or data analysis. Includes an extensive bibliography and pointers to further reading within the text. Applied Data Mining for Business and Industry, 2nd edition is aimed at advanced undergraduate and graduate students of data mining, applied statistics, database management, computer science and economics. The case studies will provide guidance to professionals working in industry on projects involving large volumes of data, such as customer relationship management, web design, risk management, marketing, economics and finance.

Statistics and Data Analysis for Financial Engineering

Author : David Ruppert,David S. Matteson
Publisher : Springer
Page : 719 pages
File Size : 47,6 Mb
Release : 2015-04-21
Category : Business & Economics
ISBN : 9781493926145

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Statistics and Data Analysis for Financial Engineering by David Ruppert,David S. Matteson Pdf

The new edition of this influential textbook, geared towards graduate or advanced undergraduate students, teaches the statistics necessary for financial engineering. In doing so, it illustrates concepts using financial markets and economic data, R Labs with real-data exercises, and graphical and analytic methods for modeling and diagnosing modeling errors. These methods are critical because financial engineers now have access to enormous quantities of data. To make use of this data, the powerful methods in this book for working with quantitative information, particularly about volatility and risks, are essential. Strengths of this fully-revised edition include major additions to the R code and the advanced topics covered. Individual chapters cover, among other topics, multivariate distributions, copulas, Bayesian computations, risk management, and cointegration. Suggested prerequisites are basic knowledge of statistics and probability, matrices and linear algebra, and calculus. There is an appendix on probability, statistics and linear algebra. Practicing financial engineers will also find this book of interest.

The Economics of Artificial Intelligence

Author : Ajay Agrawal,Joshua Gans,Avi Goldfarb,Catherine Tucker
Publisher : University of Chicago Press
Page : 172 pages
File Size : 48,7 Mb
Release : 2024-03-05
Category : Business & Economics
ISBN : 9780226833125

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The Economics of Artificial Intelligence by Ajay Agrawal,Joshua Gans,Avi Goldfarb,Catherine Tucker Pdf

A timely investigation of the potential economic effects, both realized and unrealized, of artificial intelligence within the United States healthcare system. In sweeping conversations about the impact of artificial intelligence on many sectors of the economy, healthcare has received relatively little attention. Yet it seems unlikely that an industry that represents nearly one-fifth of the economy could escape the efficiency and cost-driven disruptions of AI. The Economics of Artificial Intelligence: Health Care Challenges brings together contributions from health economists, physicians, philosophers, and scholars in law, public health, and machine learning to identify the primary barriers to entry of AI in the healthcare sector. Across original papers and in wide-ranging responses, the contributors analyze barriers of four types: incentives, management, data availability, and regulation. They also suggest that AI has the potential to improve outcomes and lower costs. Understanding both the benefits of and barriers to AI adoption is essential for designing policies that will affect the evolution of the healthcare system.

Contemporary Issues in Exploratory Data Mining in the Behavioral Sciences

Author : John J. McArdle,Gilbert Ritschard
Publisher : Routledge
Page : 474 pages
File Size : 40,8 Mb
Release : 2013-08-15
Category : Psychology
ISBN : 9781135044091

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Contemporary Issues in Exploratory Data Mining in the Behavioral Sciences by John J. McArdle,Gilbert Ritschard Pdf

This book reviews the latest techniques in exploratory data mining (EDM) for the analysis of data in the social and behavioral sciences to help researchers assess the predictive value of different combinations of variables in large data sets. Methodological findings and conceptual models that explain reliable EDM techniques for predicting and understanding various risk mechanisms are integrated throughout. Numerous examples illustrate the use of these techniques in practice. Contributors provide insight through hands-on experiences with their own use of EDM techniques in various settings. Readers are also introduced to the most popular EDM software programs. A related website at http://mephisto.unige.ch/pub/edm-book-supplement/offers color versions of the book’s figures, a supplemental paper to chapter 3, and R commands for some chapters. The results of EDM analyses can be perilous – they are often taken as predictions with little regard for cross-validating the results. This carelessness can be catastrophic in terms of money lost or patients misdiagnosed. This book addresses these concerns and advocates for the development of checks and balances for EDM analyses. Both the promises and the perils of EDM are addressed. Editors McArdle and Ritschard taught the "Exploratory Data Mining" Advanced Training Institute of the American Psychological Association (APA). All contributors are top researchers from the US and Europe. Organized into two parts--methodology and applications, the techniques covered include decision, regression, and SEM tree models, growth mixture modeling, and time based categorical sequential analysis. Some of the applications of EDM (and the corresponding data) explored include: selection to college based on risky prior academic profiles the decline of cognitive abilities in older persons global perceptions of stress in adulthood predicting mortality from demographics and cognitive abilities risk factors during pregnancy and the impact on neonatal development Intended as a reference for researchers, methodologists, and advanced students in the social and behavioral sciences including psychology, sociology, business, econometrics, and medicine, interested in learning to apply the latest exploratory data mining techniques. Prerequisites include a basic class in statistics.

Think Stats

Author : Allen B. Downey
Publisher : "O'Reilly Media, Inc."
Page : 226 pages
File Size : 49,5 Mb
Release : 2014-10-16
Category : Computers
ISBN : 9781491907368

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Think Stats by Allen B. Downey Pdf

If you know how to program, you have the skills to turn data into knowledge, using tools of probability and statistics. This concise introduction shows you how to perform statistical analysis computationally, rather than mathematically, with programs written in Python. By working with a single case study throughout this thoroughly revised book, you’ll learn the entire process of exploratory data analysis—from collecting data and generating statistics to identifying patterns and testing hypotheses. You’ll explore distributions, rules of probability, visualization, and many other tools and concepts. New chapters on regression, time series analysis, survival analysis, and analytic methods will enrich your discoveries. Develop an understanding of probability and statistics by writing and testing code Run experiments to test statistical behavior, such as generating samples from several distributions Use simulations to understand concepts that are hard to grasp mathematically Import data from most sources with Python, rather than rely on data that’s cleaned and formatted for statistics tools Use statistical inference to answer questions about real-world data

Spationomy

Author : Vít Pászto,Carsten Jürgens,Polona Tominc,Jaroslav Burian
Publisher : Springer Nature
Page : 325 pages
File Size : 47,7 Mb
Release : 2019-11-06
Category : Science
ISBN : 9783030266264

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Spationomy by Vít Pászto,Carsten Jürgens,Polona Tominc,Jaroslav Burian Pdf

This open access book is based on "Spationomy – Spatial Exploration of Economic Data", an interdisciplinary and international project in the frame of ERASMUS+ funded by the European Union. The project aims to exchange interdisciplinary knowledge in the fields of economics and geomatics. For the newly introduced courses, interdisciplinary learning materials have been developed by a team of lecturers from four different universities in three countries. In a first study block, students were taught methods from the two main research fields. Afterwards, the knowledge gained had to be applied in a project. For this international project, teams were formed, consisting of one student from each university participating in the project. The achieved results were presented in a summer school a few months later. At this event, more methodological knowledge was imparted to prepare students for a final simulation game about spatial and economic decision making. In a broader sense, the chapters will present the methodological background of the project, give case studies and show how visualisation and the simulation game works.