Periodic Data Analysis and Forecasting As An Overview of Future Management Economics

Henderi Henderi, Siti Ria Zuliana, Restu Adi Pradana
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引用次数: 9

Abstract

In economics management is needed periodic data (time series) from production effort in predicting continuation of a situation is action which at one time must be done. For economic or political experts, it seems to be an obligation that must be carried out when they find a situation say just the economic crisis that befell a country with great, to provide predictive reviews about how the impact will be on the continuation of the existence of that country. So from that the aim of this research is to discuss about conceptual and conceptual aspects about periodic data, calculation of straight line trends through free method, half moving average, half average and least number of squares, non linear trend calculation which is trend parabola and exponential trends, calculations for changing trend equations into quarterly and monthly trends, calculations for changing trend equations into average trends, calculating seasonal variation values ​​through simple average methods, ratio to trend, ratio of moving averages and relative berangkai, and calculation of cyclic variation values ​​for annual and quarterly data. The method used during this study took place, namely using a literature study method which functions so that in research, researchers continue to add insight.
作为未来管理经济学概述的周期性数据分析与预测
在经济管理中,需要从生产努力中获得的周期性数据(时间序列)来预测一种情况的持续,这种情况是一种必须在同一时间完成的行动。对于经济或政治专家来说,这似乎是一种必须履行的义务,当他们发现一种情况时,就像经济危机降临到一个国家,对这个国家的继续存在将产生怎样的影响提供预测性评论。因此,本研究的目的是讨论周期性数据的概念和概念方面,通过自由法计算直线趋势,半移动平均,半平均和最小平方数,非线性趋势计算,即趋势抛物线和指数趋势,变化趋势方程为季度和月趋势的计算,变化趋势方程为平均趋势的计算,通过简单平均法计算季节变化值,趋势比,移动平均和相对berangkai的比值,计算年度和季度数据的周期变化值。在这项研究中使用的方法,即使用文献研究法,其功能是使研究人员在研究中不断增加洞察力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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