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Please use this identifier to cite or link to this item: http://lrcdrs.bennett.edu.in:80/handle/123456789/4225
Title: Enrolment Forecasting for Government Schools
Authors: Abraham, Ajith
Sharma, Devendra
Choudhary, Ghanshyam
Ahuja, Chitvan
Issue Date: 2023
Publisher: CYBER TECH PUBLICATIONS
Abstract: This document examines the significant initiatives that the Delhi Government has developed to support the state's education sector. The city of Delhi was chosen as the subject of this research due to its multifarious composition of geographical, political, religious, and cultural elements. An additional factor is its substantial 14.66% literacy rate advantage (88.7%) over the national literary rate (74.04%)._x000D_ A forecast analysis was performed using two datasets pertaining to Class Tenth Delhi Government Schools: i) student enrolment by gender, and ii) enrolment by school type. Various methods were applied to the data, including simple moving average (SMA), weighted moving average (WMA), single exponential smoothing (SES) method, and double exponential smoothing (DES) method.
URI: http://lrcdrs.bennett.edu.in:80/handle/123456789/4225
ISSN: 978-93-5053-925-5
Appears in Collections:Book Chapters_ SCSET

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