Fishery Landing Forecasting Using Wavelet-Based Autoregressive Integrated Moving Average Models

<table class="figure-group"><tr class="fig-image" id="a"><td><object data="https://static.hindawi.com/articles/mpe/volume-2015/969450/figures/969450.fig.006a.svgz" name="969450.fig.006a" type="image/svg+xml"></object></td></tr><tr class="fig-caption"><td><b>(a) </b>East Johor</td></tr><tr class="fig-image" id="b"><td><object data="https://static.hindawi.com/articles/mpe/volume-2015/969450/figures/969450.fig.006b.svgz" name="969450.fig.006b" type="image/svg+xml"></object></td></tr><tr class="fig-caption"><td><b>(b) </b>Pahang State</td></tr></table>

<div>Diagnostic checking for the ARIMA model fit to the fishery landing data.</div>

Mathematical Problems in Engineering

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Figure 6

Figure 6: Fishery Landing Forecasting Using Wavelet-Based Autoregressive Integrated Moving Average Models 