Absatzprognose: Die multiple Regression dargestellt mittels SPSS (Fallstudie) (German Edition),Used

Absatzprognose: Die multiple Regression dargestellt mittels SPSS (Fallstudie) (German Edition),Used

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Studienarbeit aus dem Jahr 2010 im Fachbereich BWL Unternehmensforschung, Operations Research, Note: 1,7, Universitt Hamburg (Wirtschaftswissenschaften), Veranstaltung: Seminar Operations Management, Sprache: Deutsch, Abstract: Prognosen sind schwierig, besonders wenn sie die Zukunft betreffen." Mark Twain (18351910); amerik. Schriftsteller Die Problematik der Prognose ist lange bekannt. Trotzdem nimmt die Zahl der Verfahren und in letzter Zeit besonders die Zahl der Simulationsprogramme stetig zu. In jedem Bereich der Gesellschaft werden Prognosen erstellt. Sei es das Wetter, die Hhe der Arbeitslosigkeit, die Anzahl der Zuschauer eines Fuballspiels oder die Krpergre eines Kindes im Erwachsenenalter beinahe alles wird heutzutage, mal mehr mal weniger gut, vorhergesagt. Natrlich knnen sich daher gerade Unternehmen diesem Thema nicht verschlieen. Ihr stetiger Wille, bessere Prognosen zu erreichen treibt deren Entwicklung geradezu voran. Woher kommt also dieser Drang, in die Zukunft schauen zu wollen? Welche Mglichkeiten ergeben sich dadurch und wie erfolgsversprechend sind die Prognosen? Besonders letzterem will diese Arbeit in der Folge auf den Grund gehen. Nach einer Einfhrung, die einen berblick ber die Anwendungsgebiete, unterschiedliche Methoden und die Probleme der Prognosen liefert, werden das Saisonverfahren von Winter und die Regressionsanalyse genauer vorgestellt. Hierbei werden dem Leser kurz die Grundprmissen der Methoden vorgestellt, um im Anschluss einen ausfhrlichen Einblick in die Vorgehensweise der Prognoseerstellung zu ermglichen. Abschlieend soll das Verfahren der multiplen Regression anhand eines FallBeispiels auf seine Praktikabilitt in der wirtschaftlichen Realitt hin untersucht werden. Eine helfende Hand bietet hier die Statistik und AnalyseSoftware SPSS, welche in der Praxis und auch in der Forschung sehr hufig Anwendung findet. Die ComputerSoftware wurde 1983 entwickelt und bietet viele Mglichkeiten im

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We ship your order within 2–3 business days for USA deliveries and 5–8 business days for international shipments. Once your package has been dispatched from our warehouse, you'll receive an email confirmation with a tracking number, allowing you to track the status of your delivery.

Returns
To facilitate a smooth return process, a Return Authorization (RA) Number is required for all returns. Returns without a valid RA number will be declined and may incur additional fees. You can request an RA number within 15 days of the original delivery date. For more details, please refer to our Return & Refund Policy page.

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Warranty

We provide a 2-year limited warranty, from the date of purchase for all our products.

If you believe you have received a defective product, or are experiencing any problems with your product, please contact us.

This warranty strictly does not cover damages that arose from negligence, misuse, wear and tear, or not in accordance with product instructions (dropping the product, etc.).

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