Methods of Moving Averages

Time series data is a series of values observed through repeated measurements at different times. Time series data is a type of data present in almost all different fields of life. Time series prediction is an significant problem in time series data mining.

7p vilarry 01-04-2024 3 1   Download

Ebook Statistical methods in economics: Part 2 presents the following content: Methods—simple (unweighted) aggregate method and weighted aggregate method; methods: simple (unweighted) aggregate method; methods—weighted average of price relatives; test of consistency: unit test, time reversal test, factor reversal test and circular test;...Please refer to the documentation for more details.

177p chankora 16-06-2023 8 2   Download

The main goals of this chapter are to: Understand the role of forecasting as a basis for supply chain planning; identify the basic components of demand: average, trend, seasonal, and random variation; show how to make a time series forecast using moving averages, exponential smoothing, and regression;...

14p runordie9 27-09-2022 11 2   Download

Decreasing availability of water and increasing consumption of it in recent years shows water management plans increase its value. Depending on water consumption in the current and previous years, it is important to predict water consumption in the coming years and make plans accordingly. Evaluation of the performance of water use in agriculture, identifying water resources that are most intensively used and prediction of the potential performance in the coming years have become increasingly important.

8p hanthienngao 30-11-2021 10 1   Download

In India, the productivity of various crops is unstable mainly due to climatic factors, price volatility and resource availability. The pre-harvest forecasting of the crop productivity is a major priority to know about the market demand of the crops. The present study focused the ability of pre-harvest forecasting performance of stepwise regression method and the ARIMA method. In stepwise regression method, two approaches were developed namely (1) using week-wise original weather variable and (2) weather indices using correlation coefficient as weight.

10p chauchaungayxua11 23-03-2021 10 1   Download

The main goals of this chapter are to: Understand the role of forecasting as a basis for supply chain planning; identify the basic components of demand: average, trend, seasonal, and random variation; show how to make a time series forecast using moving averages, exponential smoothing, and regression;...

14p koxih_kothogmih7 29-09-2020 16 1   Download

Lecture 17 - Forecasting. When you complete this chapter you should be able to : Understand the three time horizons and which models apply for each use; explain when to use each of the four qualitative models; apply the naive, moving average, exponential smoothing, and trend methods.

54p koxih_kothogmih4 28-08-2020 8 1   Download

The present study was conducted in Jaipur district of Rajasthan. To check the instability of major fruits and vegetable crops stored in cold storage moving average and coefficient of variations methods were used. Instability is one of the important decision parameter in development dynamics and moreover in the context of horticultural crop production. Coefficients of quadratic function estimated for instability in area and production of important fruit crops over time. Estimations were made for important eight fruit crops as well as for all fruit crops.

6p quenchua4 16-04-2020 17 1   Download

In this study eight macroeconomic indicators including gross domestic product (volume, NGDPD), gross national savings (NGSD_NGDP), inflation (average consumer prices, PCPI), population (LP), total investment (NID_NGDP), unemployment rate (LUR), volume of exports of goods and services (TX_RPCH), volume of imports of goods and services (TM_RPCH) were used for forecasting.

32p 035522894 13-04-2020 27 2   Download

This paper proposes a simple moving voltage average (SMVA) technique in conjunction with fixed step direct control incremental conductance (INC) maximum power point tracking (MPPT) method in order to reduce the photovoltaic (PV) generated voltage (VPV) fluctuation and power losses under mismatching solar irradiance conditions in distributed PV system.

11p vivalletta2711 11-01-2020 16 0   Download

It has great significance to estimate the schedulable capacity of air-conditioning load of public building for participating the power network regulation by forecasting the air-conditioning load accurately. A novel forecast method considering the accumulated temperature effect is proposed in this paper based on Elman neural network.

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Forecasting plays a major role in financial planning and it is an essential analytical tool in banks‟ strategies. In recent years, researchers are developing new techniques for estimation. Financial performance evaluation of banks is a kind of multi-criteria decision making (MCDM) problem which has developed rapidly. It is very important for a firm to monitor a wide range of performance indicators in order to ensure that appropriate and timely decisions and plans can be made.

31p chauchaungayxua2 04-01-2020 24 2   Download

This paper presents a method for forecasting future uranium prices that is used as input data to calculate the uranium cost, which is a rational key cost driver of the nuclear fuel cycle cost. In other words, the statistical autoregressive integrated moving average (ARIMA) model and existing engineering cost estimation method, the so-called escalation rate model, were subjected to a comparative analysis.

8p minhxaminhyeu4 26-06-2019 15 0   Download

In this paper, a method using multiple cameras to detect leakage and estimate the three-dimensional coordinates of the leakage location is presented. Leakage is detected by each camera using MADI(Moving Average Differential Image) and histogram analysis. The twodimensional leakage location is estimated using the detected leakage area.

8p minhxaminhyeu3 12-06-2019 6 0   Download

This paper investigates the existence of noise trader risk in Vietnam’s stock market and its effect on the daily returns of stock prices. The methodologies contain the estimation of GARCH (1,1) model to filter the residuals using the moving average method to calculate the impact of information traders. Noise trader risk or the risk that is caused by noise traders is derived by subtracting the residuals by the rational traders’ impact.

12p vixyliton2711 12-04-2019 21 0   Download

When you complete this chapter you should be able to: Understand the three time horizons and which models apply for each; explain when to use each of the four qualitative models; apply the naive, moving-average, exponential smoothing, and trend methods; compute three measures of forecast accuracy; develop seasonal indices; conduct a regression and correlation analysis; use a tracking signal.

125p tangtuy18 12-07-2016 44 3   Download

There is no ‘silver bullet.’ But there are certainly methods, tools and processes that are best in class and can be readily-executed by bankers of average intellect and drive. But the key success factors again, are consistency of utilization and management support for the new expectations. We will need to be clear about all these items before we agree to move forward with any project work or training. If we decided to move forward together, the format for a typical program usually involves an initial assessment, rollout plan and agreement with the program sponsor as to...

19p khanhchilam 01-04-2013 55 5   Download

Important Notions and Definitions Random Processes • Spectra of Deterministic Signals • Spectra of Random Processes 14.3 The Problem of Power Spectrum Estimation 14.

22p longmontran 18-01-2010 78 8   Download