Statistics in Business, Management, Economics, Finance, Insurance.

Market Research with Panels = Types, Surveys, Analysis, and Applications / by: (Language materials, printed)

Introduction to Mathematics for Economics with R by: (Language materials, printed)

Modern Survey Analysis = Using Python for Deeper Insights / by: (Language materials, printed)

People Analytics = Data to Decisions / by: (Language materials, printed)

A Risky Business = An Actuary’s Guide to Quantifying and Managing Risk in Society / by: (Language materials, printed)

Statistik für Ökonomen = Datenanalyse mit R und SPSS / by: (Language materials, printed)

Interpretability for Industry 4.0 : Statistical and Machine Learning Approaches by: (Language materials, printed)

Modern Classification and Data Analysis = Methodology and Applications to Micro- and Macroeconomic Problems / by: (Language materials, printed)

Applied Time Series Analysis and Forecasting with Python by: (Language materials, printed)

Econometric Evaluation of Socio-Economic Programs = Theory and Applications / by: (Language materials, printed)

Energy Trading and Risk Management = Commentary on Arbitrage, Risk Measurement, and Hedging Strategy / by: (Language materials, printed)

Ökonometrie = Grundlagen – Methoden – Beispiele / by: (Language materials, printed)

Solutions Manual for Econometrics by: (Language materials, printed)

Machine Learning and Data Analytics for Solving Business Problems = Methods, Applications, and Case Studies / by: (Language materials, printed)

How to Build a Modern Tontine = Algorithms, Scripts and Tips / by: (Language materials, printed)

Zeitreihenanalyse in den Wirtschaftswissenschaften = Einführung und Grundlagen für den Einstieg in die aktuelle Forschung / by: (Language materials, printed)

Statistik-Übungen = Beschreibende Statistik – Wahrscheinlichkeitsrechnung – Schließende Statistik / by: (Language materials, printed)

The Mahalanobis Growth Model = A Macrodynamics Approach / by: (Language materials, printed)

Ereignisrisiko = Statistische Verfahren und Konzepte zur Risikoquantifizierung / by: (Language materials, printed)

Modellierung von Abhängigkeitsstrukturen durch Copulas = Theorie und Anwendungen in der Risikotechnik / by: (Language materials, printed)

An Introduction to Latent Class Analysis = Methods and Applications / by: (Language materials, printed)

Applied Research Methods in Urban and Regional Planning by: (Language materials, printed)

Computation of Greeks Using the Discrete Malliavin Calculus and Binomial Tree by: (Language materials, printed)

Applied Statistical Methods = ISGES 2020, Pune, India, January 2–4 / by: (Language materials, printed)

Advances in Econometrics, Operational Research, Data Science and Actuarial Studies = Techniques and Theories / by: (Language materials, printed)

Complex System Governance = Theory and Practice / by: (Language materials, printed)

Beschreibende Statistik = Praxisorientierte Einführung – Mit Aufgaben und Lösungen / by: (Language materials, printed)

Applied Data Science in Tourism = Interdisciplinary Approaches, Methodologies, and Applications / by: (Language materials, printed)

Business Analytics for Professionals by: (Language materials, printed)

Telegraph processes and option pricing by: (Language materials, printed)

Bayesian statistical modeling with Stan, R, and Python by: (Language materials, printed)

Advanced calculus for economics and finance = theory and methods / by: (Language materials, printed)

Using r for trade policy analysis = R codes for the UNCTAD and WTO practical guide / by: (Language materials, printed)

Non-academic careers for quantitative social scientists = a practical guide to maximizing your skills and opportunities / by: (Language materials, printed)

State of the art in partial least squares structural equation modeling (PLS-SEM) = methodological extensions and applications in the social sciences and beyond / by: (Language materials, printed)

Demystifying causal inference = public policy applications with R / by: (Language materials, printed)

Data analytics for management, banking and finance = theories and application / by: (Language materials, printed)

AI assisted business analytics = techniques for reshaping competitiveness / by: (Language materials, printed)

Predictive analytics with KNIME = analytics for citizen data scientists / by: (Language materials, printed)

Theory and applications of time series analysis = selected contributions from ITISE 2022 / by: (Language materials, printed)

Partial least squares path modeling = basic concepts, methodological issues and applications / by: (Language materials, printed)

Fundamentals of supervised machine learning = with applications in Python, R, and Stata / by: (Language materials, printed)

Stochastic models for prices dynamics in energy and commodity markets = an infinite-dimensional perspective / by: (Language materials, printed)

Time series econometrics = learning through replication / by: (Language materials, printed)

Statistical modelling and risk analysis = selected contributions from ICRA9, Perugia, Italy, May 25-27, 2022 / by: (Language materials, printed)

Data-driven decision making by: (Language materials, printed)

Complex-valued econometrics with examples in R = modelling, regression and applications / by: (Language materials, printed)

Mathematical and statistical methods for actuarial sciences and finance = MAF2024 / by: (Language materials, printed)

Practical biostatistics for medical and health sciences by: (Language materials, printed)

Navigating circular supply chains = optimizing performance measurement through fuzzy methods and quality techniques / by: (Language materials, printed)

Sustainable management through knowledge and innovation = how to develop a strong strategy in the wine industry / by: (Language materials, printed)

Advanced statistical methods in process monitoring, finance, and environmental science = essays in honour of Wolfgang Schmid / by: (Language materials, printed)

High-quality and timely statistics = new methods and applications / by: (Language materials, printed)

Advances in applied econometrics = celebrating Peter Schmidt's legacy / by: (Language materials, printed)

Time series and wavelet analysis = Festschrift in honor of Pedro A. Morettin / by: (Language materials, printed)

Artificial intelligence and machine learning with R = applications in the field of business analytics / by: (Language materials, printed)

Fundamentals of the insurance business by: (Language materials, printed)

New frontiers in textual data analysis by: (Language materials, printed)

Probability and statistical models in operations research, computer and management sciences = including applications to reliability models / by: (Language materials, printed)

Applied multivariate statistical analysis by: (Language materials, printed)

Statistics for innovation III = SIS 2025, short papers, contributed sessions 2 / by: (Language materials, printed)

Statistics for innovation IV = SIS 2025, short papers, contributed sessions 3 / by: (Language materials, printed)

Statistics for innovation II = SIS 2025, short papers, contributed sessions 1 / by: (Language materials, printed)

Statistics for innovation I = SIS 2025, short papers, plenary, specialized, and solicited sessions / by: (Language materials, printed)

International encyclopedia of statistical science by: (Language materials, printed)

Advances in quantitative approaches to sociological issues by: (Language materials, printed)

Business process management workshops = BPM 2024 international workshops, Krakow, Poland, September 1-6, 2024 : revised selected papers / by: (Language materials, printed)

Nonlinear investing = a quantamental approach / by: (Language materials, printed)

Anomalous stochastics = a comprehensive guide to multifractals, random walks, and real-world applications / by: (Language materials, printed)

Statistical quantitative methods in finance = from theory to quantitative portfolio management / by: (Language materials, printed)

Advanced portfolio optimization = a cutting-edge quantitative approach / by: (Language materials, printed)

Elements of network science = theory, methods and applications in Stata, R and Python / by: (Language materials, printed)