Forecasting tools for the IBM PC
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Forecasting tools for the IBM PC by Lawrence L. McNitt

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Published by Hayden Book Co. in Hasbrouck Heights, N.J .
Written in English


  • Business forecasting -- Data processing.,
  • IBM Personal Computer -- Programming.

Book details:

Edition Notes

StatementLawrence McNitt.
LC ClassificationsHD30.27 .M38 1985
The Physical Object
Pagination189 p. :
Number of Pages189
ID Numbers
Open LibraryOL3027978M
ISBN 100810470780
LC Control Number85008446

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A review is presented of the major econometric and forecasting computer programs for the IBM PC and compatibles which can estimate multiple equation models on time series data and compute. Top Four Types of Forecasting Methods. There are four main types of forecasting methods that financial analysts Financial Analyst Job Description The financial analyst job description below gives a typical example of all the skills, education, and experience required to be hired for an analyst job at a bank, institution, or corporation. Perform financial forecasting, reporting, and operational. IBM SPSS® Forecasting provides advanced capabilities that enable both novice and experienced users to develop reliable forecasts using time-series data. Users with less expertise can create sophisticated forecasts that integrate multiple variables, while experienced forecasters can use the software . Companies like IBM offer holistic, integrated software solutions to streamline the planning, budgeting and forecasting process. The logic is that to adapt to today's quickly changing business conditions, an organization needs one solution that creates a single source of truth and visibility into all its data.

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(). Econometric and Forecasting Software for the IBM PC and Compatibles. The Journal of Economic Education: Vol. 18, No. 3, pp. The launch of IBM’s new PC AT, complicated by unexpected delivery delays and compatibility problems. The introduction of desktop computers by Sperry, NCR, ITT, and AT&T. Raise Forecast Accuracy with Powerful Time Series Analysis Software. Time series analysis is a powerful data analysis method. A time series is sequential samples of data measured one by one at fixed time intervals. Time series analysis aims to uncover specific patterns in these data to forecast future values basing on previously observed ones. It is a wonderful tool for all statistical analysis, not just for forecasting. See the [Using R appendix][Appendix: Using R] for instructions on installing and using R. All R examples in the book assume you have loaded the fpp2 package, available on CRAN, using library(fpp2).