Senin, 27 Mei 2019

#TM11 INDEXED PRICES WITH 1995 DATA 28 MEI 2019

Figure 4 illustrates the relationship between APE and HPY, holding all other
variables constant. Across all levels of use, the CP method had the lowest APE and,
therefore, was the most accurate. The NAEDA method was relatively accurate in
the middle HPY range, but it did not perform as well for tractors used in the low or
high HPY ranges. The accuracy of the CP method followed the same pattern. Once
again, these methods are not as accurate at low and high levels of use because
the average hours of use in the data is 300–400 HPY. Contrary to the model with
10 years of data, the ASAE method had a lower APE than the KMAR method.
Like the other models, the APE values of ADS and GDS were generally much
higher than the APE values of the other methods.

PENDAPAT SAYA
TABEL mengilustrasikan hubungan antara APE dan HPY, memegang semua yang lain
variabel konstan. Di semua tingkatan penggunaan, metode CP memiliki APE terendah dan,
oleh karena itu, adalah yang paling akurat. Metode NAEDA relatif akurat dalam
kisaran HPY tengah, tetapi tidak bekerja dengan baik untuk traktor yang digunakan di rendah atau
rentang HPY tinggi. Keakuratan metode CP mengikuti pola yang sama.

Tidak ada komentar:

Posting Komentar