Catalog > Science > Mathématiques > Théorie des probabilités, statistiques > Birgit Bergmann: Stochastik für Lehramtskandidaten. Fragen zur mündlichen Prüfung (PDF)

Birgit Bergmann
Stochastik für Lehramtskandidaten. Fragen zur mündlichen Prüfung [PDF ebook]

Support

Couverture du Birgit Bergmann: Stochastik für Lehramtskandidaten. Fragen zur mündlichen Prüfung (PDF)

Prüfungsvorbereitung aus dem Jahr 2013 im Fachbereich Mathematik – Stochastik, Note: 1, Universität Wien, Veranstaltung: Vorlesung Stochastik für LAK, Sprache: Deutsch, Abstract: Diese Lernzusammenfassung liefert Prüfungsfragen zum Thema Stochastik. Dabei werden die Aspekte Wahrscheinlichkeiten, Kombinatorik, Verteilungen, Zufallsvariablen, Erwartungswert, Streuung, Statistik, Konfidenzintervalle und Tests in Stichpunkten behandelt.

€6.99

Achetez cet ebook et obtenez-en 1 de plus GRATUITEMENT !

Langue Allemand ● Format PDF ● Pages 16 ● ISBN 9783668022690 ● Taille du fichier 0.6 MB ● Maison d’édition GRIN Verlag ● Lieu München ● Pays DE ● Publié 2015 ● Édition 1 ● Téléchargeable 24 mois ● Devise EUR ● ID 4489398 ● Protection contre la copie sans

Plus d’ebooks du même auteur(s) / Éditeur

Birgit Bergmann

4 014 Ebooks dans cette catégorie

Couverture du Valbona Çinaj: Statistika ne biznes dhe ekonomiks

Valbona Çinaj: Statistika ne biznes dhe ekonomiks

Document from the year 2020 in the subject Mathematics – Statistics, , course: Economics, Statistic For Business, language: Albanian, abstract: Në përdorim të zakonshëm, njerëzit mendojnë për statist …

Couverture du N. W. Galwey: The False Discovery Rate

N. W. Galwey: The False Discovery Rate

The False Discovery Rate An essential tool for statisticians and data scientists seeking to interpret the vast troves of data that increasingly power our world First developed in the 1990s, the False …

Couverture du Deborah J. Rumsey: Probability For Dummies

Deborah J. Rumsey: Probability For Dummies

Learn how to calculate your chances with easy-to-understand explanations of probability Probability—the likelihood or chance of an event occurring—is an important branch of mathematics used in busine …

Couverture du Feng-Yu Wang & Panpan Ren: DISTRIBUTION DEPENDENT STOCHASTIC DIFFERENTIAL EQUATIONS

Feng-Yu Wang & Panpan Ren: DISTRIBUTION DEPENDENT STOCHASTIC DIFFERENTIAL EQUATIONS

Corresponding to the link of Itô’s stochastic differential equations (SDEs) and linear parabolic equations, distribution dependent SDEs (DDSDEs) characterize nonlinear Fokker–Planck equations. This t …

Couverture du Varayu Boonpogkrong & Tuan Seng Chew: NON-UNIFORM RIEMANN APPROACH TO STOCHASTIC INTEGRATION, THE

Varayu Boonpogkrong & Tuan Seng Chew: NON-UNIFORM RIEMANN APPROACH TO STOCHASTIC INTEGRATION, THE

This is the first book that presents the theory of stochastic integral using the generalized Riemann approach. Readers who are familiar with undergraduate calculus and want to have an easy access to …

Couverture du Peter C. Bruce & Peter Gedeck: Statistics for Data Science and Analytics

Peter C. Bruce & Peter Gedeck: Statistics for Data Science and Analytics

Introductory statistics textbook with a focus on data science topics such as prediction, correlation, and data exploration Statistics for Data Science and Analytics is a comprehensive guide to statis …

Couverture du Nitin R. Patel & Kenneth C. Lichtendahl: Data Mining for Business Analytics

Nitin R. Patel & Kenneth C. Lichtendahl: Data Mining for Business Analytics

Data Mining for Business Analytics: Concepts, Techniques, and Applications in R presents an applied approach to data mining concepts and methods, using R software for illustration Readers will learn …

Couverture du Chihiro Hirotsu: Advanced Analysis of Variance

Chihiro Hirotsu: Advanced Analysis of Variance

Introducing a revolutionary new model for the statistical analysis of experimental data In this important book, internationally acclaimed statistician, Chihiro Hirotsu, goes beyond classical analysis …

Couverture du Philippe J. S. De Brouwer: The Big R-Book

Philippe J. S. De Brouwer: The Big R-Book

Introduces professionals and scientists to statistics and machine learning using the programming language R Written by and for practitioners, this book provides an overall introduction to R, focusing …

Couverture du Ivan Jeliazkov & Xin-She Yang: Bayesian Inference in the Social Sciences

Ivan Jeliazkov & Xin-She Yang: Bayesian Inference in the Social Sciences

Presents new models, methods, and techniques and considers important real-world applications in political science, sociology, economics, marketing, and finance Emphasizing interdisciplinary coverage, …

Page suivante >>>