Comparison of forecasts using applied regression analysis techniques (Record no. 59593)

000 -LEADER
fixed length control field 01187pab a2200181 454500
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 180718b2003 xxu||||| |||| 00| 0 eng d
100 ## - MAIN ENTRY--PERSONAL NAME
Personal name Venkataramaniah, M.
245 ## - TITLE STATEMENT
Title Comparison of forecasts using applied regression analysis techniques
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Date of publication, distribution, etc. 2003
300 ## - PHYSICAL DESCRIPTION
Extent p.410-24.
362 ## - DATES OF PUBLICATION AND/OR SEQUENTIAL DESIGNATION
Dates of publication and/or sequential designation Dec
520 ## - SUMMARY, ETC.
Summary, etc. Forecasting is the prediction of the variable based on known past values of it or other related variables. After estimation of parameters of the regression model of the most common use of regression is for prediction or forecasting. Data on sugar production from S.V. Sugar Factory Ltd., Tirupati was collected and analysed through different forecasting techniques like Simple Linear Regression Method and Holt's Exponential Smoothing Method. The results of these techniques were compared by using the criteria of Mean Absolute Error (MAE) measure to arrive at the final conclusion. The simple non-linear forecasting method, was found to be the optimum technique for forecasting in the present study. - Reproduced.
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Forecasting
700 ## - ADDED ENTRY--PERSONAL NAME
Personal name Balasiddamuni, P.
700 ## - ADDED ENTRY--PERSONAL NAME
Personal name Reddy, A. Rama Raghava
773 ## - HOST ITEM ENTRY
Main entry heading Asian Economic Review
909 ## -
-- 59593
Holdings
Withdrawn status Lost status Damaged status Not for loan Permanent Location Current Location Date acquired Serial Enumeration / chronology Barcode Date last seen Price effective from Koha item type
        Indian Institute of Public Administration Indian Institute of Public Administration 2018-07-19 Volume no: 45, Issue no: 3 AR60038 2018-07-19 2018-07-19 Articles

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