Catalog > Sciences > Math > Probability Theory, Statistics > Thomas Kramer: Quantitative Prognoseverfahren: Deskriptive Methoden der Zeitreihenanalyse (ePUB)

Thomas Kramer
Quantitative Prognoseverfahren: Deskriptive Methoden der Zeitreihenanalyse [EPUB ebook]

Support

Cover of Thomas Kramer: Quantitative Prognoseverfahren: Deskriptive Methoden der Zeitreihenanalyse (ePUB)

Skript aus dem Jahr 1999 im Fachbereich Mathematik – Statistik, Note: 1, 0, European Business School – Internationale Universität Schloß Reichartshausen Oestrich-Winkel (EBS), Sprache: Deutsch, Abstract: Dieses 8-seitige Skript befasst sich mit der theoretischen Seite quantitativer Prognoseverfahren, insbesondere der Zeitreihenanalyse.
Inhalte:
Komponenten einer Zeitreihe
Trendextrapolation
o Linearer Trend (Methode der kleinsten Quadrate)
o Parabolischer Trend (Methode der kleinsten Quadrate)
o Expotentieller Trend (Methode der kleinsten Quadrate)
o Varianz, Standartabweichung, Variationskoeffizient, Bestimmtheitsmaß

€3.99

Buy this ebook and get 1 more FREE!

Language German ● Format EPUB ● Pages 19 ● ISBN 9783638111850 ● File size 1.3 MB ● Publisher GRIN Verlag ● City München ● Country DE ● Published 2002 ● Edition 1 ● Downloadable 24 months ● Currency EUR ● ID 3630966 ● Copy protection without

More ebooks from the same author(s) / Editor

4,110 Ebooks in this category

Cover of 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 …

Cover of Resve A. Saleh & Sohaib Majzoub: Fundamentals of Robust Machine Learning

Resve A. Saleh & Sohaib Majzoub: Fundamentals of Robust Machine Learning

An essential guide for tackling outliers and anomalies in machine learning and data science. In recent years, machine learning (ML) has transformed virtually every area of research and technology, be …

Cover of Angelica Lo Duca: Become a Great Data Storyteller

Angelica Lo Duca: Become a Great Data Storyteller

Unlock the power of data storytelling to create change Become a Great Data Storyteller: Learn How You Can Drive Change with Data is a transformational journey guided by author and researcher Angelica …

Cover of Soraya Sedkaoui: Automated Data Analytics

Soraya Sedkaoui: Automated Data Analytics

The human mind is endowed with a remarkable capacity for creative synthesis between intuition and reason; this mental alchemy is the source of genius. A new synergy is emerging between human ingenuit …

Cover of Nicolas Lanchier: Stochastic Interacting Systems in Life and Social Sciences

Nicolas Lanchier: Stochastic Interacting Systems in Life and Social Sciences

This volume provides an overview of two of the most important examples of interacting particle systems, the contact process, and the voter model, as well as their many variants introduced in the past …

Cover of Eric Sowey & Peter Petocz: A Panorama of Statistics

Eric Sowey & Peter Petocz: A Panorama of Statistics

This book is a stimulating panoramic tour – quite different from a textbook journey – of the world of statistics in both its theory and practice, for teachers, students and practitioners. At each sto …

Cover of Christian H. Weiss: An Introduction to Discrete-Valued Time Series

Christian H. Weiss: An Introduction to Discrete-Valued Time Series

A much-needed introduction to the field of discrete-valued time series, with a focus on count-data time series Time series analysis is an essential tool in a wide array of fields, including business, …

Cover of Jeffrey S Rosenthal: FIRST LOOK AT STOCHASTIC PROCESSES, A

Jeffrey S Rosenthal: FIRST LOOK AT STOCHASTIC PROCESSES, A

This textbook introduces the theory of stochastic processes, that is, randomness which proceeds in time. Using concrete examples like repeated gambling and jumping frogs, it presents fundamental math …

Cover of Mark M. Meerschaert & Alla Sikorskii: Stochastic Models for Fractional Calculus

Mark M. Meerschaert & Alla Sikorskii: Stochastic Models for Fractional Calculus

Fractional calculus is a rapidly growing field of research, at the interface between probability, differential equations, and mathematical physics. It is used to model anomalous diffusion, in which a …

Cover of Mariangela Guidolin: Innovation Diffusion Models

Mariangela Guidolin: Innovation Diffusion Models

Innovation Diffusion Models Understand innovation diffusion models and their role in business success Innovation diffusion models are statistical models that predict the medium- and long-term sales p …