منابع مشابه
non-corrective approach to pronunciation
the aim of this study has been to find answers for the following questions: 1. what is the effect of immediate correction on students pronunciation errors? 2. what would be the effect of teaching the more rgular patterns of english pronunciation? 3. is there any significant difference between the two methods of dealing with pronuciation errore, i. e., correction and the teaching of the regular ...
15 صفحه اولthe aesthetic dimension of howard barkers art: a frankfurtian approach to scenes from an execution and no end of blame
رابطه ی میانِ هنر و شرایطِ اجتماعیِ زایش آن همواره در طولِ تاریخ دغدغه ی ذهنی و دل مشغولیِ اساسیِ منتقدان و نیز هنرمندان بوده است. از آنجا که هنر در قفس آهنیِ زندگیِ اجتماعی محبوس است، گسترش وابستگیِ آن با نهاد ها و اصولِ اجتماعی پیرامون، صرفِ نظر از هم سو بودن و یا غیرِ هم سو بودنِ آن نهاد ها، امری اجتناب ناپذیر به نظر می رسد. با این وجود پدیدار گشتنِ چنین مباحثِ حائز اهمییتی در میان منتقدین، با ظهورِ مکتب ما...
forecasting meat prices: an inverse demand approach
abstract in agriculture, there is a lag between planting decision and supplying the produced commodity to the market. this makes the marketed commodities as predetermined variables and prices as market clearing factor. under such a condition, the inverse demand function in which price is a function of quantity is an appropriate tool for forecasting price responses to the injected quantities to ...
متن کاملAn Artificial Intelligence Approach to Operational Aviation Turbulence Forecasting
Turbulence is a major aviation hazard for both commercial and private aircraft. Currently, the clear-air turbulence forecasting tool Graphical Turbulence Guidance (GTG) is used by airline meteorologists and dispatchers for flight planning, and in part to determine operational Airman’s Meteorological Information (AIRMET) turbulence advisories; however, GTG has much higher resolution and intensit...
متن کاملThe Bayesian Approach to Forecasting
INTRODUCTION The Bayesian approach uses a combination of a priori and post priori knowledge to model time series data. That is, we know if we toss a coin we expect a probability of 0.5 for heads or for tails—this is a priori knowledge. Therefore, if we take a coin and toss it 10 times, we will expect five heads and five tails. But if the actual result is ten heads, we may lose confidence in our...
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ژورنال
عنوان ژورنال: Journal of the American Statistical Association
سال: 1930
ISSN: 0162-1459
DOI: 10.2307/2277987