نتایج جستجو برای: c52
تعداد نتایج: 377 فیلتر نتایج به سال:
The chemical and thermal characteristics of goldenberry pomace oil (GPO) seed (GSO) were investigated. GPO GSO contained high levels unsaturated fatty acids (90.1% 85.1%, respectively), the major acid was linoleic (62.0% 72.8%, respectively). Additionally, eleven triacylglycerol (TAG) species, three which represented 82.7%, namely C54:6, C54:4 C52:4, trilinolein dominant one (35.5%). nine TAG t...
this article is a comparative study of estimation power of artificial neural networks and autoregressive time series models in inflation forecasting. using 37 years iran’s inflation data, neural networks performs better on average for short horizons than autoregressive models. this study shows usefulness of early stopping technique in learning stage of neural networks for estimating time series...
The standard linear technique of impulse response function analysis is extended to the nonlinear case by de"ning a generalized impulse response function. Measures of persistence and asymmetry in response are constructed for a wide class of time series. ( 2000 Elsevier Science B.V. All rights reserved. JEL classixcation: C22; C51; C52; E32
We propose an encompassing test for non-nested linear quantile regression models and show that it has an asymptotic χ2 distribution. It is also shown that the proposed test is a regression rank score test in a comprehensive model under conditional homogeneity. Our simulation results indicate that the proposed test performs very well in finite samples. JEL classification: C12, C52
In this note we discuss the paper on exchange rate forecasting by Molodtsova and Papell (2012). In particular we discuss issues related to forecast origins and forecast horizons when higher frequency exchange rate movements are predicted using lower frequency quarterly macroaggregates. JEL Nos.: C53, C12, C52
In this note we consider the treatment of structural breaks in VAR models used to test for unit roots and cointegration. We give practical guidelines for the inclusion and the specification of intervention dummies in those models. JEL Classification Code: C32, C52, E43.
این مقاله به بررسی مقایسهای توان شبکههای عصبی مصنوعی و سریهای زمانی خودبازگشت در پیشبینی ایستای نرخ تورّم ایران میپردازد. در یک بررسی، با استفاده از 37 سال دادههای تاریخی نرخ تورّم ایران، مدل شبکة عصبی مصنوعی در پیشبینی آیندة نزدیک در مقایسه با سریهای زمانی خودبازگشت، بهطور متوسط از عملکرد بهتری برخوردار است. در این بررسی، مزایای روش توقّف زودهنگام در مرحلة یادگیری شبکة عصبی برای پیشبین...
The resonant cross relaxation processes between Yb3+ and Er3+ ions in calcium alumino-silicate glasses have been quantified under selective excitation. infrared emission spectra, measured steady state conditions (CW excitation to the 4I9/2 erbium level), allowed obtain an experimental relationship linking transfer (Yb3+ → Er3+) back (Er3+ Yb3+) parameters. These measurements combined with dynam...
We suggest moment estimators for the parameters of a continuous time GARCH(1,1) process based on equally spaced observations. Using the fact that the increments of the COGARCH(1,1) process are ergodic, the resulting estimators are consistent. We investigate the quality of our estimators in a simulation study based on the compound Poisson driven COGARCH model. The estimated volatility with corre...
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