Catalog > Ciência > Matemática > Teoria da probabilidade, estatística > Birgit Bergmann: Lösung zur Übung 'Stochastik für Lehramtskandidaten' (PDF)

Birgit Bergmann
Lösung zur Übung ‘Stochastik für Lehramtskandidaten’ [PDF ebook]

Apoio

Capa do Birgit Bergmann: Lösung zur Übung 'Stochastik für Lehramtskandidaten' (PDF)

Vorlesungsmitschrift aus dem Jahr 2013 im Fachbereich Mathematik – Stochastik, Note: 1, Universität Wien (Fakultät für Mathematik), Veranstaltung: Übung Stochastik für Lehramtskandidaten, Sprache: Deutsch, Abstract: Diese Vorlesungsmitschrift enthält die Lösungen zur Übung ‘Stochastik für Lehramtskandidaten’ an der Universität Wien. Die dazugehörige Aufgabenstellung kann unter www.mat.univie.ac.at/~peter/psstl13.pdf heruntergeladen werden.

€7.99

Compre este e-book e ganhe mais 1 GRÁTIS!

Língua Alemão ● Formato PDF ● Páginas 55 ● ISBN 9783668009738 ● Tamanho do arquivo 1.6 MB ● Editora GRIN Verlag ● Cidade München ● País DE ● Publicado 2015 ● Edição 1 ● Carregável 24 meses ● Moeda EUR ● ID 4834587 ● Proteção contra cópia sem

Mais ebooks do mesmo autor(es) / Editor

Birgit Bergmann

4.014 Ebooks nesta categoria

Capa do 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 …

Capa do 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 …

Capa do 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 …

Capa do 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 …

Capa do 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 …

Capa do 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 …

Capa do 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 …

Capa do 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 …

Capa do 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 …

Capa do 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, …

Próxima página >>>