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Wetenschappelijk onderzoek kan niet meer zonder statistiek. In het gros van de wetenschappelijke artikels en rapporten worden statistische methoden en technieken gebruikt, van zeer eenvoudig tot zeer geavanceerd. Studenten, onderzoekers en professionals uit verschillende disciplines hebben er dan ook alle belang bij statistiek te kunnen toepassen: een dataset klaarmaken voor analyse, de geschikte statistische techniek selecteren, de analyse uitvoeren, en de resultaten rapporteren en interpreteren.Toegepaste statistiek biedt studenten, onderzoekers en professionals een toegankelijk overzicht van de beschrijvende en inferentiële statistiek. Op basis van een stappenplan en gebruiksvriendelijke flowchart die als rode draad worden gehanteerd, wordt het voor iedereen een koud kunstje om de geschikte analysetechniek te selecteren en gebruiken. Elke techniek wordt stap voor stap uitgelegd aan de hand van verschillende voorbeelden en oefeningen. Telkens geïllustreerd met het statistisch softwareprogramma SPSS, maar evenzeer te gebruiken door iedereen die met andere software werkt.https://www.pelckmansuitgevers.be/toegepaste-statistiek.html#gref

Statistiek --- Statistiek (theorie) --- Mathematical statistics --- Onderzoek (wetenschap) --- SPSS --- SPSS (computerprogramma). --- Statistiek. --- toegepaste wiskunde --- statistiek

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As a comprehensive textbook in survey sampling, this book discusses the inadequacies of classic, designed-based inferential procedures and provides alternative approaches in the form of model formulations, model-design-based procedures of analysis, inference and interpretation. The book focuses on a wide range of topics which included Bayesian and Empirical Bayesian approaches, complex procedures of stratification, clustering, sampling in multi stages and phases, linear and non-linear estimation of parameters, small area estimation by spatial and chronological modelling, network and adaptive sampling methods and more. The book includes detailed case studies and exercises, making it valuable for students of statistics, specifically survey sampling. .

Statistical science --- statistiek

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This volume provides readers with a compact, stimulating and multifaceted introduction to interpretability, a key issue for developing insightful statistical and machine learning approaches as well as for communicating modelling results in business and industry. Different views in the context of Industry 4.0 are offered in connection with the concepts of explainability of machine learning tools, generalizability of model outputs and sensitivity analysis. Moreover, the book explores the integration of Artificial Intelligence and robust analysis of variance for big data mining and monitoring in Additive Manufacturing, and sheds new light on interpretability via random forests and flexible generalized additive models together with related software resources and real-world examples.

Statistical science --- statistiek --- statistisch onderzoek

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This book is designed as a gentle introduction to the fascinating field of choice modeling and its practical implementation using the R language. Discrete choice analysis is a family of methods useful to study individual decision-making. With strong theoretical foundations in consumer behavior, discrete choice models are used in the analysis of health policy, transportation systems, marketing, economics, public policy, political science, urban planning, and criminology, to mention just a few fields of application. The book does not assume prior knowledge of discrete choice analysis or R, but instead strives to introduce both in an intuitive way, starting from simple concepts and progressing to more sophisticated ideas. Loaded with a wealth of examples and code, the book covers the fundamentals of data and analysis in a progressive way. Readers begin with simple data operations and the underlying theory of choice analysis and conclude by working with sophisticated models including latent class logit models, mixed logit models, and ordinal logit models with taste heterogeneity. Data visualization is emphasized to explore both the input data as well as the results of models. This book should be of interest to graduate students, faculty, and researchers conducting empirical work using individual level choice data who are approaching the field of discrete choice analysis for the first time. In addition, it should interest more advanced modelers wishing to learn about the potential of R for discrete choice analysis. By embedding the treatment of choice modeling within the R ecosystem, readers benefit from learning about the larger R family of packages for data exploration, analysis, and visualization.

Statistical science --- statistiek --- statistisch onderzoek

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This book collects select contributions presented at the International Conference on Importance of Statistics in Global Emerging (ISGES 2020) held at the Department of Mathematics and Statistics, University of Pune, Maharashtra, India, from 2-4 January 2020. It discusses recent developments in several areas of statistics with applications of a wide range of key topics, including small area estimation techniques, Bayesian models for small areas, ranked set sampling, fuzzy supply chain, probabilistic supply chain models, dynamic Gaussian process models, grey relational analysis and multi-item inventory models, and more. The possible use of other models, including generalized Lindley shared frailty models, Benktander Gibrat risk model, decision-consistent randomization method for SMART designs and different reliability models are also discussed. This book includes detailed worked examples and case studies that illustrate the applications of recently developed statistical methods, making it a valuable resource for applied statisticians, students, research project leaders and practitioners from various marginal disciplines and interdisciplinary research. .

Statistical science --- Mathematical statistics --- statistiek