Statistics in Business, Management, Economics, Finance, Insurance.
Overview
Works: | 61 works in 24 publications in 24 languages |
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Titles
High-quality and timely statistics = new methods and applications /
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Advanced statistical methods in process monitoring, finance, and environmental science = essays in honour of Wolfgang Schmid /
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Sustainable management through knowledge and innovation = how to develop a strong strategy in the wine industry /
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Navigating circular supply chains = optimizing performance measurement through fuzzy methods and quality techniques /
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Mathematical and statistical methods for actuarial sciences and finance = MAF2024 /
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Complex-valued econometrics with examples in R = modelling, regression and applications /
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Statistical modelling and risk analysis = selected contributions from ICRA9, Perugia, Italy, May 25-27, 2022 /
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Predictive analytics with KNIME = analytics for citizen data scientists /
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Stochastic models for prices dynamics in energy and commodity markets = an infinite-dimensional perspective /
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Fundamentals of supervised machine learning = with applications in Python, R, and Stata /
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Partial least squares path modeling = basic concepts, methodological issues and applications /
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Theory and applications of time series analysis = selected contributions from ITISE 2022 /
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AI assisted business analytics = techniques for reshaping competitiveness /
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Data analytics for management, banking and finance = theories and application /
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Demystifying causal inference = public policy applications with R /
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State of the art in partial least squares structural equation modeling (PLS-SEM) = methodological extensions and applications in the social sciences and beyond /
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Non-academic careers for quantitative social scientists = a practical guide to maximizing your skills and opportunities /
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Using r for trade policy analysis = R codes for the UNCTAD and WTO practical guide /
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Advanced calculus for economics and finance = theory and methods /
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Beschreibende Statistik = Praxisorientierte Einführung – Mit Aufgaben und Lösungen /
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Applied Data Science in Tourism = Interdisciplinary Approaches, Methodologies, and Applications /
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Advances in Econometrics, Operational Research, Data Science and Actuarial Studies = Techniques and Theories /
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Computation of Greeks Using the Discrete Malliavin Calculus and Binomial Tree
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Applied Statistical Methods = ISGES 2020, Pune, India, January 2–4 /
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An Introduction to Latent Class Analysis = Methods and Applications /
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Modellierung von Abhängigkeitsstrukturen durch Copulas = Theorie und Anwendungen in der Risikotechnik /
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Ereignisrisiko = Statistische Verfahren und Konzepte zur Risikoquantifizierung /
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Statistik-Übungen = Beschreibende Statistik – Wahrscheinlichkeitsrechnung – Schließende Statistik /
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Zeitreihenanalyse in den Wirtschaftswissenschaften = Einführung und Grundlagen für den Einstieg in die aktuelle Forschung /
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Machine Learning and Data Analytics for Solving Business Problems = Methods, Applications, and Case Studies /
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Energy Trading and Risk Management = Commentary on Arbitrage, Risk Measurement, and Hedging Strategy /
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Econometric Evaluation of Socio-Economic Programs = Theory and Applications /
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Interpretability for Industry 4.0 : Statistical and Machine Learning Approaches
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Modern Classification and Data Analysis = Methodology and Applications to Micro- and Macroeconomic Problems /
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A Risky Business = An Actuary’s Guide to Quantifying and Managing Risk in Society /
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Market Research with Panels = Types, Surveys, Analysis, and Applications /
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Statistics for Business and Economics = Compendium of Essential Formulas /
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Data Science und Statistik mit R = Anwendungslösungen für die Praxis /
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